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1

Rekha and Channappa Byalihal Shankaralingappa. "Optimal allocation of solar and wind distributed generation using particle swarm optimization technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 229–37. https://doi.org/10.11591/ijece.v13i1.pp229-237.

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Power demand in the current days is increasing more and more where the conventional power generation systems are failing to meet these power demands due to less availability of non-renewable resources. Hence, many of the researchers are working on the distributed generation (DG) by using renewable resources like wind and solar. The penetration towards wind, solar DG faced challenging situations during power generation due to uncertainty in the wind speed and solar radiation. Recent studies have predicted that the combination of both solar and wind can lead to better performance. However, the sizing and placement of DG systems is necessary to achieve efficiency otherwise the systems may lead to adverse effects in distribution networks. This paper introduced the solar DG, wind DG and hybrid (solar and wind) DG system. The particle swarm optimization technique is used to size and place the DG because of its parallel search capability. Also, the combination of wind-solar DG gives better DG sizing in the respective DG location. The voltage profile of these DG systems has shown better results for the efficient power system. In comparison to conventional DG systems, the suggested hybrid DG system is capable of minimizing power loss and maintaining voltage profile.
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2

Fu, Qiang, Chengxi Fu, Peng Fu, and Yuke Deng. "Application of Green Power Generation Technology for Distributed Energy." E3S Web of Conferences 329 (2021): 01021. http://dx.doi.org/10.1051/e3sconf/202132901021.

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This article discusses and analyzes the technical strengths and weaknesses of the green power generation that can be used for distributed system (power generation) power generation, for instance, solar power generation, wind power, hydrogen fuel cells, biomass power generation, and small gas turbines. The key to the discussion is to apply the technical distributed power generation of solar power stations. In addition, it also discussed the use of "focusing solar power generation high-temperature solar thermal power conversion system software" technical completion of distributed system power distribution. Low-cost, high-temperature solar thermal power generation is selected as the power generation solution medium, the power generation is technically low consumption and high-efficiency, the volume and power generation methods are conveniently equipped, the stability is high, and the economic development is environmentally friendly.
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3

Xu, Nan, Shan Shan Li, and Hao Ming Liu. "Distribution System Fault Recovery with Undispatchable Distributed Generations." Applied Mechanics and Materials 529 (June 2014): 455–59. http://dx.doi.org/10.4028/www.scientific.net/amm.529.455.

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Considering the probabilistic of the wind power and the solar power, a fault recovery method for distribution systems with the wind power and the solar power is presented in this paper. For the wind power, a simplified steady-state equivalent model of an asynchronous wind generator is added into the Jacobian matrix to consider the impact of the wind power on systems. For the solar power, its output is considered as an injected power which is related with solar irradiance. Three-point estimate is employed to solve the probabilistic power flow of distribution systems with the wind power and the solar power. The restoration is described as a multi-objective problem with the mean of the system loss and the number of switch operations. Fast elitist non-dominated sorting partheno-genetic algorithm is used to solve this multi-objective problem. IEEE 33-bus system is used as an example and the results show that the models and algorithms in this paper are efficient.
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4

Mohanty, Parimita. "Role of Power Converters in Distributed Solar Power Generation." Journal of Automation and Control Engineering 2, no. 1 (2014): 38–42. http://dx.doi.org/10.12720/joace.2.1.38-42.

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5

Yang, Qi, Meng Cong Liu, Ying Chen, and Yun Xiao Bai. "Distributed Network Power Flow of Distributed Generation." Advanced Materials Research 614-615 (December 2012): 1693–99. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1693.

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With constrains imposed by natural conditions, the power generated from wind power, solar power and other intermittent energy system has great randomness and volatility. Thus, the impact from the intermittent energy to the system voltage and power flow is uncertainty. In view of this problem, this paper studies the characteristics of these double random variables and correlation. By using the typical probabilistic load flow and Monte Carlo simulation method, this paper poses the probability load flow adapted to the intermittent distributed generation. Finally, taking IEEE33 distribution system for example, this paper obtains the mutual relationship between the power from the intermittent distributed generation and the probability distribution of the node voltage, current distribution of each branch.
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6

Wanjekeche, Tom, Andreas A. Ndapuka, and Lupembe Nicksen Mukena. "Strategic Sizing and Placement of Distributed Generation in Radial Distributed Networks Using Multiobjective PSO." Journal of Energy 2023 (October 4, 2023): 1–14. http://dx.doi.org/10.1155/2023/6678491.

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Distributed generators (DGs) offer significant advantages to electric power systems, including improved system losses, stability, and reduced losses. However, realizing these benefits necessitates optimal DG site selection and sizing. This study proposes a traditional multiobjective particle swarm optimization (PSO) approach to determine the optimal location and size of renewable energy-based DGs (wind and solar) on the Namibian distribution system. The aim is to enhance voltage profiles and minimize power losses and total DG cost. Probabilistic models are employed to account for the random nature of wind speeds and solar irradiances. This is used in an algorithm which eventually optimizes the siting and sizing of DGs using the nearest main substation as reference. The proposed method is tested on the Vhungu-Vhungu 11 kV distribution network in Namibia. Four cases were considered: base case with no DG, solar power, wind power, and a hybrid of both wind and solar. Optimal values for each case are determined and analyzed: 0.69.93 kW at 26 km for solar PV-based DG and 100 kW at 42 km for wind-based DG. These findings will serve as a valuable blueprint for future DG connections on the Namibian distribution network, providing guidance for optimizing system performance.
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7

Alam, Md Shafiul. "Power Management for Distributed Generators Integrated System." Energies 15, no. 16 (2022): 5813. http://dx.doi.org/10.3390/en15165813.

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8

Vrzala, Matouš, Miroslava Goňo, Radomír Goňo, Michal Kotulla, Małgorzata Wzorek, and Zbigniew Leonowicz. "Distributed Generation Power Systems in Wastewater Management." Energies 15, no. 17 (2022): 6283. http://dx.doi.org/10.3390/en15176283.

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The article concerns the energy security of a wastewater treatment process caused by unforeseen situations related to the risk of electrical power outages. In this case, renewable energy sources based on distributed generation power systems can solve this problem in each wastewater treatment plant. The article highlights e related challenges and proposes the direction of solutions in this regard based on Czech conditions. The first part of the paper deals with the consequences of long-term outage of wastewater treatment plants on the population and the environment. There are several solutions presented for blackout conditions, and model calculations are made based on data from a Czech wastewater treatment plant. Diesel engine-generators, biogas as a cogeneration source of heat and electricity, solar panels with storage systems and combined biogas and solar systems were considered as approaches to provide energy autonomy during a blackout in a wastewater treatment plant. Special attention was paid to a combination of CHP units with solar panels and batteries. The results were evaluated for three different locations for this combination. It was concluded that biogas combustion in the CHP unit was the most profitable option, allowing the production of electricity independently of the grid for its own consumption and possibly for other operations. The last part of the paper deals with the transition to island operation, which must occur during a blackout. This transition is more difficult for both solar panels and cogeneration units if they were to supply electricity to the grid before a blackout. The transition to energy island operation could be ensured by frequency relay and processor devices to control the circuit breaker. Then, to maintain island operation, it would be necessary to have an automatic load shedding/application system.
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9

Lezhnyuk, Petro, Iryna Hunko, Juliya Malogulko, Iryna Kotylko, and Lіudmyla Krot. "MODELING OF COMPATIBLE WORK OF DISTRIBUTED POWER SOURCES OF ELECTRIC POWER AND CENTRALISED POWER SUPPLY." TECHNICAL SCIENCES AND TECHNOLOG IES, no. 2 (12) (2018): 189–95. http://dx.doi.org/10.25140/2411-5363-2018-2(12)-189-195.

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Urgency of the research. Current trends of distributed generation development in Ukraine indicate a rapid generation in-crease from renewable energy plants. Most developed countries gradually refuse from the fossil fuels use and invest more and more to the “green” energy. Therefore, there is a need for a detailed study of the operation conditions of distributed energy sources due to their instability, as well as the processes that arise in distribution electric networks with diverse types of distributed energy sources. Target setting. In the producing process of power energy by distributed energy sources due to the increase in their num-ber, there are situations where several renewable sources of energy operate to only one system of buses. Thus, such distributive networks acquire the features of a local power system, which complicates the control process of such systems, and also there is a problem with the electricity supply of consumers. Actual scientific researches and issues analysis. The analysis of publications suggests that in literature more attention is paid to studying the operating modes of solar power plants, or small hydroelectric power plants. However, almost no attention was paid to the study of their cooperation work. Uninvestigated parts of general matters defining. Only a few works are devoted to the study of the cooperation of the diverce sources of distributed energy sources in the local electrical systems. That is why, their impact on power distribution networks and on the grid in general has not been studied extensively. The research objective. In this article was considered the influence of asynchronous generators on small hydroelectric power plants on the operation modes of distribution electrical networks, and were investigated the processes that are occurring in local power systems with different types of distributed energy sources. The statement of basic materials. Based on the research results, was developed a computer model of a such system in the PS CAD software environment. Two solar stations and one small hydroelectric power station with an asynchronous generator were connected to the power supply. It was shown the simulation of two modes of operation: a joint operation of a small hydroelectric power station, two solar power stations and a power supply center; a joint operation of a small hydroelectric pow-er plant, two solar power stations and a power supply disconnected. Conclusions. As a result of computer simulation, it is shown that by switching on a small hydroelectric power plant with an asynchronous generator in the case of an emergency shutdown of centralized power supply, it is possible to restore the work of solar power plants, and thus partially or completely restore the power supply of consumers.
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10

Maevsky, Dmitry, Oleksandr Vynakov, and Oleg Ketrar. "DEVICES AND SYSTEMS OF DISTRIBUTED GENERATION." ELECTRICAL AND COMPUTER SYSTEMS 37, no. 113 (2023): 6–16. http://dx.doi.org/10.15276/eltecs.37.113.2023.01.

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Abstract. The article is devoted to the analysis of the features of various distributed generation systems from the point of view of their inclusion in a single distributed energy system. It is shown that the need to switch to distributed generation is associated with the need to create reliable power supply systems that can maintain their performance in the event of partial or complete destruction of any part of such a system. The devices of solar, wind and hydropower, as well as the possibility of using small modular nuclear reactors as devices for distributed generation are analyzed. It is shown that the most promising for application are environmentally friendly solar cells. Wind generation and small hydropower plants can also be used to create sustainable and reliable power supply systems. Small modular reactors can be used to power large cities and industrial consumers. The analysis of economic and energy parameters of various devices of distributed generation is carried out. It is concluded that the elements of a distributed generation system can be not only individual devices, but also systems of such devices at the level of a territorial region. Keywords: distributed generation; electrical system; solar energy; solar power plants, wind energy; modular nuclear reactors; intelligent networks.
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11

Maevsky, Dmitry, Oleksandr Vynakov, and Oleg Ketrar. "DEVICES AND SYSTEMS OF DISTRIBUTED GENERATION." ELECTRICAL AND COMPUTER SYSTEMS 37, no. 113 (2023): 6–16. http://dx.doi.org/10.15276/eltecs.37.113.2023.1.

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Abstract. The article is devoted to the analysis of the features of various distributed generation systems from the point of view of their inclusion in a single distributed energy system. It is shown that the need to switch to distributed generation is associated with the need to create reliable power supply systems that can maintain their performance in the event of partial or complete destruction of any part of such a system. The devices of solar, wind and hydropower, as well as the possibility of using small modular nuclear reactors as devices for distributed generation are analyzed. It is shown that the most promising for application are environmentally friendly solar cells. Wind generation and small hydropower plants can also be used to create sustainable and reliable power supply systems. Small modular reactors can be used to power large cities and industrial consumers. The analysis of economic and energy parameters of various devices of distributed generation is carried out. It is concluded that the elements of a distributed generation system can be not only individual devices, but also systems of such devices at the level of a territorial region. Keywords: distributed generation; electrical system; solar energy; solar power plants, wind energy; modular nuclear reactors; intelligent networks.
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12

Sui, Jia Yin, Ke Bi, Zhi Wei Liu, and Peng Jin. "Design of 1.15MWp Distributed Photovoltaic Power Generation Scheme." Applied Mechanics and Materials 713-715 (January 2015): 1073–76. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1073.

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The design scheme for PV system connecting the grid is provided, considering the reactive power compensation, harmonic and lightning effects. Solar power generated connects into the nearby medium and low voltage distribution networks by the inverter. The capacity of solar power total is 1.15MWp. The electricity is generated for personal use; the remaining is connected to the grid system. The scheme is reasonable in design; the system is stable and reliable by the practical testing. It can be used in large range popularization and application.
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13

Jordan, Stephen W., and Tugrul U. Daim. "Technology transfer: solar power and distributed rural electrification." International Journal of Technology, Policy and Management 12, no. 2/3 (2012): 244. http://dx.doi.org/10.1504/ijtpm.2012.046929.

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14

Bazrafshan, Mohammadhafez, Likhitha Yalamanchili, Nikolaos Gatsis, and Juan Gomez. "Stochastic Planning of Distributed PV Generation." Energies 12, no. 3 (2019): 459. http://dx.doi.org/10.3390/en12030459.

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Recent studies by electric utility companies indicate that maximum benefits of distributed solar photovoltaic (PV) units can be reaped when siting and sizing of PV systems is optimized. This paper develops a two-stage stochastic program that serves as a tool for optimally determining the placing and sizing of PV units in distribution systems. The PV model incorporates the mapping from solar irradiance to AC power injection. By modeling the uncertainty of solar irradiance and loads by a finite set of scenarios, the goal is to achieve minimum installation and network operation costs while satisfying necessary operational constraints. First-stage decisions are scenario-independent and include binary variables that represent the existence of PV units, the area of the PV panel, and the apparent power capability of the inverter. Second-stage decisions are scenario-dependent and entail reactive power support from PV inverters, real and reactive power flows, and nodal voltages. Optimization constraints account for inverter’s capacity, PV module area limits, the power flow equations, as well as voltage regulation. A comparison between two designs, one where the DC:AC ratio is pre-specified, and the other where the maximum DC:AC ratio is specified based on historical data, is carried out. It turns out that the latter design reduces costs and allows further reduction of the panel area. The applicability and efficiency of the proposed formulation are numerically demonstrated on the IEEE 34-node feeder, while the output power of PV systems is modeled using the publicly available PVWatts software developed by the National Renewable Energy Laboratory. The overall framework developed in this paper can guide electric utility companies in identifying optimal locations for PV placement and sizing, assist with targeting customers with appropriate incentives, and encourage solar adoption.
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15

A., Z. Adnan, E. Yusoff M., and Hashim H. "Analysis on the Impact of Renewable Energy to Power System Fault Level." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 652–57. https://doi.org/10.11591/ijeecs.v11.i2.pp652-657.

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Distributed Generation is generation of electricity from renewable energy resources, located closer to the customers or loads. Installation of Distributed Generation could improve voltage and power quality, mitigate voltage sags, minimize transmission system congestion, and provide more affordable capacity for utilizing renewable energy resources. However, high penetration of Distributed Generation to the existing national grid system may contribute several impacts including fault level, as well as the performance of power system protection. Monitoring of fault level is important in power system protection in order to sustain the health of power system networks. This paper investigates the impact of installing Distributed Generation to power system fault level. Three-phase symmetrical fault is simulated and analyzed for various sizes of distributed generation in IEEE 30 bus system using Power System Simulation for Engineering (PSS/E) software.
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16

Veligorskyi, Oleksandr, Oleksandr Husev, Viktor Shevchenko, et al. "A novel hysteresis power point optimizer for distributed solar power generation." Electrical, Control and Communication Engineering 14, no. 1 (2018): 12–22. http://dx.doi.org/10.2478/ecce-2018-0002.

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Abstract This paper proposes a new photovoltaic panel maximum-power-point optimizer based on a buck converter. It can be connected to the DC-link distributed energy harvesting system that should perform the true maximum-power-point tracking algorithm based on maintaining a constant DC link voltage. The algorithm is based on the sensorless hysteresis control and ensures high efficiency. Three different realizations of proposed hysteresis optimizers have been analyzed in the paper, including operation principle and adjustment of hysteresis intervals. An experimental study has been performed for a portable low-power photovoltaic system in case of different loads and irradiance levels. The efficiency of maximum power point tracking has been calculated analytically for different hysteresis intervals and validated by experiment, which proved a 97-98 % efficiency of tracking for different PV panel temperatures. The proposed solution is recommended to be used in small- and medium-sized power systems where the price of the conventional maximum power point tracking converter is very high and is comparable to the cost of the individual panel
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17

Rekha, Rekha, and Shankaralingappa Channappa Byalihal. "Optimal allocation of solar and wind distributed generation using particle swarm optimization technique." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 229. http://dx.doi.org/10.11591/ijece.v13i1.pp229-237.

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<span lang="EN-US">Power demand in the current days is increasing more and more where the conventional power generation systems are failing to meet these power demands due to less availability of non-renewable resources. Hence, many of the researchers are working on the distributed generation (DG) by using renewable resources like wind and solar. The penetration towards wind, solar DG faced challenging situations during power generation due to uncertainty in the wind speed and solar radiation. Recent studies have predicted that the combination of both solar and wind can lead to better performance. However, the sizing and placement of DG systems is necessary to achieve efficiency otherwise the systems may lead to adverse effects in distribution networks. This paper introduced the solar DG, wind DG and hybrid (solar and wind) DG system. The particle swarm optimization technique is used to size and place the DG because of its parallel search capability. Also, the combination of wind-solar DG gives better DG sizing in the respective DG location. The voltage profile of these DG systems has shown better results for the efficient power system. In comparison to conventional DG systems, the suggested hybrid DG system is capable of minimizing power loss and maintaining voltage profile.</span>
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18

Qiao, Dao E., and Xiao Li Xu. "Power Optimizing of Solar Photovoltaic Systems." Advanced Materials Research 466-467 (February 2012): 272–76. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.272.

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Efficient energy yield is a major concern in solar photovoltaic (PV) systems. This paper describes a distributed control system to optimize the power output of the PV systems. The PV systems contain many PV modules. And every PV module has a monitoring and control network node. The communication data are successfully transmitted using a low-cost ZigBee wireless network. The field conditions are monitored by voltage, current, irradiance, and temperature sensors. The power operating point tracking is implemented at the PV module level. The reference voltage is calculated based on a neural network model, which is used to identify maximum power point. And the output voltage is regulated by a digital controller in the integrated converter according to the reference voltage. Experiments show that the power output can be greatly increased with this distributed control system under many shadow conditions.
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19

G., R. Prudhvi Kumar, Sattianadan D., and Vijayakumar K. "A survey on power management strategies of hybrid energy systems in microgrid." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1667–73. https://doi.org/10.11591/ijece.v10i2.pp1667-1673.

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The power generation through renewable energy resources is increasing vastly, Solar energy and Wind Energy are the most abundantly available renewable energy resources. The growth of small scale distributed grid networks increasing rapidly in the modern power systems and Distributed Generation (DG) plays a predominant role. Microgrid is one among the emerging techniques in power systems. Power Management is mainly required to have control over the real and reactive power of individual DG and for smooth operation, maintaining stability and reliability. This paper presents a survey of the research works already reported focusing on power management of hybrid energy systems such as mainly solar and wind systems in microgrid. Six different approaches have been studied in detail for AC, DC and hybrid AC/DC microgrid.
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20

Yang, Xianliang, and Jiangjiang Wang. "Multi-Energy Complementary Distributed Energy Supply Integrated Experimental System." Journal of Natural Science Education 1, no. 6 (2024): 56–59. https://doi.org/10.62517/jnse.202417609.

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The equipment and system components of the multi-energy complementary distributed energy supply system are introduced, and the functions of the experimental system are briefly described. Through the experiment, students master the thermal performance and power generation performance variation of solar water heating system and solar and natural gas complementary combined cooling, heating and power supply system.
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21

Quoc Dung, Phan, Phan Thi Thanh Binh, Pham Dinh Minh, Tran Minh Hung, and Nguyen Duc Hung. "The optimal generator dispatching with uncertain conditions for grid-connected microgrid." Science & Technology Development Journal - Engineering and Technology 3, no. 1 (2020): First. http://dx.doi.org/10.32508/stdjet.v3i1.631.

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Nowadays, the penetration of wind and solar sources is relatively high in Micro Grid. Wind speed and solar radiation forecasting hardly gives an exact value and leads to the values in intervals. Therefore forecasted output powers of these sources are also in the intervals. The constraint on power balance in Micro Grid has the right-hand-side uncertainty, in the interval. So for Micro-Grid in grid connection mode, the presence of the distributed generations based on wind and solar energy sources makes optimal dispatching problems of distributed generations become an uncertainty problem. The optimal solutions for the lower and upper ends of this interval are the best and the worst optimal solution. This paper proposes to treat the above problem as the optimal problem with two objectives: reach the best and the worst solution. The principle of fuzzy set and the Particle Swarm Optimization algorithm will be applied for solving the multi-objective problem. The final optimal value will belong to an interval. Meanwhile, the output power of the swing generator varies to respond to the uncertainty of wind and solar source power. An example of a low-voltage MG with three distributed generators is considered with two cases: connecting to the utility grid via the circuit breaker and via power controller.
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Peilei, Feng, Wu Hesong, Zhang Mingsheng, and Wan Wenkui. "Design and analysis of distributed photo-voltaic power station." MATEC Web of Conferences 175 (2018): 03002. http://dx.doi.org/10.1051/matecconf/201817503002.

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After the location of the power station is determined, the construction scale of the solar grid connected photo-voltaic power station is mainly with the terrain conditions and the conditions of land use.The selection of solar cell components and installation methods, access to the power grid and other factors are related.In this paper, according to the existing construction conditions in the sewage plant, the area suitable for the layout of the solar cell array is selected.Accordmg to the structural characteristics of existing structures and the prediction of the power load in the sewage plant, the installed capacity of the plan is 4.9218MWp. A 10kV installed switch-gear station is built, and the 1 10kV outlet is connected to the total distribution room power station. The project is completed at once.Solar energy is converted to DC power through photo-voltaic array composed of PV modules. After three phase inverter (DC-AC) is converted to three-phase alternating current, it is converted to AC power that meets the requirements of public power grid and directly connected to the public power grid through the step-up transformer.The construction and operation of photo-voltaic power stations will not cause pollution to the environment, and can also provide some clean energy, which can reduce the use of fossil fuels such as coal.
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Mansoori, Dr Ahmed A. Al, and Dr Fatimah H. Zayed. "RENEWABLE DISTRIBUTED GENERATION: TRANSFORMING POWER SYSTEMS FOR A SUSTAINABLE FUTURE." International Journal of Research in Engineering 3, no. 2 (2023): 1–6. https://doi.org/10.55640/ijre-03-02-01.

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Distributed generation (DG) refers to the decentralized production of electricity near the point of use, as opposed to traditional centralized generation. It has gained significant attention in recent years due to its potential to enhance the efficiency, reliability, and sustainability of power systems. This paper provides an overview of distributed generation technologies, their integration into power systems, and the associated challenges and benefits. The role of renewable energy sources, such as solar, wind, and biomass, in DG is highlighted, along with the impact of DG on grid operation, economics, and regulatory frameworks. Furthermore, the future prospects for DG in the context of smart grids and energy storage technologies are discussed. The findings suggest that while DG offers substantial advantages in terms of energy efficiency, environmental benefits, and resilience, there are still several technical, economic, and regulatory barriers that need to be addressed for its widespread adoption.
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24

Balal, Afshin, and Michael Giesselmann. "Design of a Level-3 electric vehicle charging station using a 1-MW solar system via the distributed maximum power point tracking technique." Clean Energy 8, no. 1 (2024): 23–35. http://dx.doi.org/10.1093/ce/zkad084.

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Abstract Solar power is mostly influenced by solar irradiation, weather conditions, solar array mismatches and partial shading conditions. Therefore, before installing solar arrays, it is necessary to simulate and determine the possible power generated. Maximum power point tracking is needed in order to make sure that, at any time, the maximum power will be extracted from the photovoltaic system. However, maximum power point tracking is not a suitable solution for mismatches and partial shading conditions. To overcome the drawbacks of maximum power point tracking due to mismatches and shadows, distributed maximum power point tracking is utilized in this paper. The solar farm can be distributed in different ways, including one DC–DC converter per group of modules or per module. In this paper, distributed maximum power point tracking per module is implemented, which has the highest efficiency. This technology is applied to electric vehicles (EVs) that can be charged with a Level 3 charging station in <1 hour. However, the problem is that charging an EV in <1 hour puts a lot of stress on the power grid, and there is not always enough peak power reserve in the existing power grid to charge EVs at that rate. Therefore, a Level 3 (fast DC) EV charging station using a solar farm by implementing distributed maximum power point tracking is utilized to address this issue. Finally, the simulation result is reported using MATLAB®, LTSPICE and the System Advisor Model. Simulation results show that the proposed 1-MW solar system will provide 5 MWh of power each day, which is enough to fully charge ~120 EVs each day. Additionally, the use of the proposed photovoltaic system benefits the environment by removing a huge amount of greenhouse gases and hazardous pollutants. For example, instead of supplying EVs with power from coal-fired power plants, 1989 pounds of CO2 will be eliminated from the air per hour.
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Thadkapally, Karunakar, Francisxavier Thomas Josh, Jeyaraj Jency Joseph, and Jayaraj Jayakumar. "The hybrid solar energized back-to-back high voltage direct current modular converter for distributed networks." Bulletin of Electrical Engineering and Informatics 13, no. 1 (2024): 88–97. http://dx.doi.org/10.11591/eei.v13i1.5771.

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High voltage direct current (HVDC) transmission is flexible towards the power control (produced by solar or wind) and can be transported over thousands of kilo meters with minimal losses over the high voltage alternative current (HVAC). It allows solar power to be integrated into the current power grid on a large scale. The author view in this article aims at providing an overview of methods used to integrate HVDC and solar systems. MATLAB/Simulink is used to simulate the solar power integration with HVDC transmission link. This article emphaises solar energy and grid integration, which results in quality and controlled electricity to the grid. Further the simulation studies are compared with real time data between the stations Pugalur AC grid (high solar energy region) and Thrissur AC grid (low solar energy region). Obtained results from the simulation, voltage and currents and power quality stresses the superiority towards the solar integration. The comparison studies enumerate the need to go situation for HVDC technology during the penetration of solar voltaic penetration into the utility network.
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Vinita, Mehto*. "REVIEW ON: DISTRIBUTED PV SYSTEM AN EFFECTIVE SOLUTION FOR ELECTRICAL POWER GENERATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 2 (2017): 301–4. https://doi.org/10.5281/zenodo.290260.

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Renewable energy is important for replacing the energy generated by natural resource like petroleum, coal etc. Energy consumption from resource like oil and coal must be reduced because of the limited petroleum resources and contribute of pollution to the environment .Renewable energy having more importance due to increase in the cost of petroleum product and other product and the pollution caused by the use of these fossil fuels.Solar power has become a source of renewable energy and solar energy applications should be enhanced. Solar water heating system was a practical application to replace the using of electrical water heater. More research is needed to increase capability and reduce production costs of solar water heating system and make the solar water heating system more efficient and practical. Conversion of solar irradiance to Electrical Energy by PV Cells is the most promising future renewable energy. This energy is freely available and hence its distributed generation and use is a promising feature.
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27

Nicodemus, Katumbi, Christopher Muriithi, and Shadrack Mambo. "Maintaining the electrical distribution grid network reliability with distributed photovoltaic generations." Journal of Energy Systems 9, no. 1 (2025): 105–20. https://doi.org/10.30521/jes.1527231.

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Green energy supply can be achieved by integrating intermittent renewable energy resources into the electrical distribution network. The intermittent nature of solar power generation presents significant technical challenges for integration that affect the network reliability and stability in relation to the grid power quality and voltage profile. Maximum utilization of photovoltaic in the electrical distribution network requires siting and sizing optimization. Distribution and transmission lines incur voltage drops and power losses due to their reactive and resistive properties. Application of evolutionary optimization techniques is adopted for optimal photovoltaic distributed generations placement in an electrical distribution network. Improved network voltage profile and system reliability was achieved by the application of particle swarm optimization algorithm to minimize the system’s power losses in a radial distribution network-IEEE 33-bus system. This was achieved through a MATLAB code implementation, with validation of the solution techniques and the developed model realized through a genetic algorithm case study. The active and reactive total loads linked to the network test system were 3.720 MW and 2.310 MVAr, accordingly. The conversion of solar power was modeled at a constant power factor with cut-off solar radiation ≥ 4.0 kWh/m2/day under normal operating conditions. As an initial configuration, active and reactive power losses were found as 211.02 kW and 143.04 kVAr without photovoltaic distributed generation at 0.85 pf, respectively. Integration of solar distributed generations at optimal location and capacity resulted in reduction of the network power losses by 57.98% reactive and 61.60% active. Improvement in voltage profile attained was 8.46%, while the ASAI network reliability index value before integrating solar source was 0.99734 p.u. but improved by 1.82% on installation. In conclusion, the system’s power losses reduced as acceptable voltage profile was maintained for sustained distribution network reliability.
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28

Sarief, Ivany, and Ketut Abimanyu Munastha. "IMPLEMENTASI COST POWER METERING UNTUK APLIKASI SOLAR GRID HYBRID POWER SYSTEM." Infotronik : Jurnal Teknologi Informasi dan Elektronika 3, no. 2 (2018): 111. http://dx.doi.org/10.32897/infotronik.2018.3.2.340.

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Kebutuhan listrik nasional 226 TWh lebih tidak dapat lagi dipenuhi oleh produsen listrik nasional yang hanya memiliki kapasitas terpasang 50 GW lebih. Kekurangan ini dapat menjadi peluang untuk mendorong produksi energi diluar provider listrik PLN. Distributed Generation (DG) menjadi alternatif produksi listrik yang menguntungkan karena dapat diadakan swakelola dan dekat dengan konsumen listrik,sehingga transmission losses dapat diminimalkan. Salah satu DG yang cukup populer adalah Solar Cell yang merupakan energi terbarukan ramah lingkungan berbasiskan cahaya matahari. Residential Solar - Grid Hybrid Power System merupakan kombinasi penggunaan listrik PLN (Grid) dengan Solar Cell. Sumber daya listrik yang aktif merupakan salah satu dari PLN atau Solar Cell. Bila listrik dari PLN padam atau cahaya matahari tersedia maka solar cell akan aktif mensuplai listrik ke rumah. Penggunaan listrik akan dimonitor, dilog, dan diolah oleh sistem sehingga pengguna dapat mengetahui estimasi penghematan biaya aktual yang diperoleh dengan menggunakan solar cel terhadap listrik PLN. Diharapkan dengan adanya keuntungan rupiah yang diperoleh, penghuni residensial akan tertarik menggunakan sistem hibrid ini.
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29

Niazi, Kamran Ali Khan, Yongheng Yang, Tamas Kerekes, and Dezso Sera. "Reconfigurable Distributed Power Electronics Technique for Solar PV Systems." Electronics 10, no. 9 (2021): 1121. http://dx.doi.org/10.3390/electronics10091121.

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A reconfiguration technique using a switched-capacitor (SC)-based voltage equalizer differential power processing (DPP) concept is proposed in this paper for photovoltaic (PV) systems at a cell/subpanel/panel-level. The proposed active diffusion charge redistribution (ADCR) architecture increases the energy yield during mismatch and adds a voltage boosting capability to the PV system under no mismatch by connected the available PV cells/panels in series. The technique performs a reconfiguration by measuring the PV cell/panel voltages and their irradiances. The power balancing is achieved by charge redistribution through SC under mismatch conditions, e.g., partial shading. Moreover, PV cells/panels remain in series under no mismatch. Overall, this paper analyzes, simulates, and evaluates the effectiveness of the proposed DPP architecture through a simulation-based model prepared in PSIM. Additionally, the effectiveness is also demonstrated by comparing it with existing conventional DPP and traditional bypass diode architecture.
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30

ŚWIDERSKI, Mariusz. "Solar Power Plant with Distributed System of PV Panels." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 2 (2019): 57–60. http://dx.doi.org/10.15199/48.2019.02.11.

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31

Romero, Manuel, Marı́a J. Marcos, Félix M. Téllez, et al. "Distributed power from solar tower systems: a MIUS approach." Solar Energy 67, no. 4-6 (1999): 249–64. http://dx.doi.org/10.1016/s0038-092x(00)00059-1.

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32

Goop, Joel, Mikael Odenberger, and Filip Johnsson. "Distributed solar and wind power – Impact on distribution losses." Energy 112 (October 2016): 273–84. http://dx.doi.org/10.1016/j.energy.2016.06.029.

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33

Wang, Enmei, Shunan Wu, Yufei Liu, Zhigang Wu, and Xiangdong Liu. "Distributed vibration control of a large solar power satellite." Astrodynamics 3, no. 2 (2019): 189–203. http://dx.doi.org/10.1007/s42064-018-0046-5.

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34

Yang, Jie, and Xiao-Yao Ma. "Ship Power Generation System Model Based on Distributed Solar Photovoltaic Power Generation." Journal of Coastal Research 94, sp1 (2019): 520. http://dx.doi.org/10.2112/si94-103.1.

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35

Tang, Yuanfu, Jing Liao, Shichao Shao, Qianqian Zhang, and Xinhua Zhang. "GIS-based method for evaluating solar PV potential at the regional level." Journal of Physics: Conference Series 2936, no. 1 (2025): 012033. https://doi.org/10.1088/1742-6596/2936/1/012033.

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Abstract The spatial distribution of solar energy is crucial for assessing potential areas and selecting appropriate building sites. Site selection for buildings is of significant importance. This research demonstrates how a comprehensive evaluation of distributed photovoltaic (PV) power generation potential on a regional scale can be achieved by integrating high-resolution solar radiation maps with various constraints. A regional solar PV potential model for Hunan Province was developed, and the capacity for distributed PV power generation in the region was projected using the map algebra function and solar radiation analysis tools in ArcGIS software.
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36

Naidu, TentuPapi, Ganapathy Balasubramanian, and Bathina Venkateshwara Rao. "Optimal power flow with distributed energy sources using whale optimization algorithm." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (2023): 4835–44. https://doi.org/10.11591/ijece.v13i5.pp4835-4844.

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Renewable energy generation is increasingly attractive since it is non-polluting and viable. Recently, the technical and economic performance of power system networks has been enhanced by integrating renewable energy sources (RES). This work focuses on the size of solar and wind production by replacing the thermal generation to decrease cost and losses on a big electrical power system. The Weibull and Lognormal probability density functions are used to calculate the deliverable power of wind and solar energy, to be integrated into the power system. Due to the uncertain and intermittent conditions of these sources, their integration complicates the optimal power flow problem. This paper proposes an optimal power flow (OPF) using the whale optimization algorithm (WOA), to solve for the stochastic wind and solar power integrated power system. In this paper, the ideal capacity of RES along with thermal generators has been determined by considering total generation cost as an objective function. The proposed methodology is tested on the IEEE-30 system to ensure its usefulness. Obtained results show the effectiveness of WOA when compared with other algorithms like non-dominated sorting genetic algorithm (NSGA-II), grey wolf optimization (GWO) and particle swarm optimization-GWO (PSOGWO).
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37

Wolcott, Barbara. "Solar Gains." Mechanical Engineering 123, no. 10 (2001): 66–69. http://dx.doi.org/10.1115/1.2001-oct-4.

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This article reviews that photovoltaic technology is growing more popular as a means of distributed generation and as a source of power for the world. Net metering now available in nearly every state in the Union is a strong incentive for this kind of alternative energy because it allows excess power generated during peak hours of sunshine to reverse an electric meter, selling power back to the utility. In addition, many states encourage solar power installations by offering a 50 percent subsidy, making the net cost to an average home-owner about $5,000. Rural electrification through solar power is exemplified in Indonesia, a country of 17,000 islands, of which about 6000 are inhabited. Prior to 1991, more than 10,000 solar home systems were installed in the country, according to the World Energy Council in London. Since solar power generation peaks at the same time spot power prices spike, companies are looking very closely at comparative costs.
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38

Young, Kevin. "Research on Short-term Power Prediction of Distributed Photovoltaic Power Generation." International Journal of Energy 3, no. 2 (2023): 64–67. http://dx.doi.org/10.54097/ije.v3i2.015.

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With the vigorous development of solar photovoltaic power generation, accurate prediction of short-term photovoltaic power generation has become an important issue. However, since the short-term power generation of photovoltaic power generation is affected by many environmental factors and has great uncertainty, the safe operation of the power grid is challenged. Therefore, it is necessary to simulate the power generation in advance through data models and predict the power generation amount. The power grid relies on the valuation and makes corresponding adjustments to maintain the stability of the power grid system.
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39

Naidu, TentuPapi, Ganapathy Balasubramanian, and Bathina Venkateshwar Rao. "Optimal power flow with distributed energy sources using whale optimization algorithm." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 5 (2023): 4835. http://dx.doi.org/10.11591/ijece.v13i5.pp4835-4844.

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<span lang="EN-US">Renewable energy generation is increasingly attractive since it is <br /> non-polluting and viable. Recently, the technical and economic performance of power system networks has been enhanced by integrating renewable energy sources (RES). This work focuses on the size of solar and wind production by replacing the thermal generation to decrease cost and losses on a big electrical power system. The Weibull and Lognormal probability density functions are used to calculate the deliverable power of wind and solar energy, to be integrated into the power system. Due to the uncertain and intermittent conditions of these sources, their integration complicates the optimal power flow problem. This paper proposes an optimal power flow (OPF) using the whale optimization algorithm (WOA), to solve for the stochastic wind and solar power integrated power system. In this paper, the ideal capacity of RES along with thermal generators has been determined by considering total generation cost as an objective function. The proposed methodology is tested on the IEEE-30 system to ensure its usefulness. Obtained results show the effectiveness of WOA when compared with other algorithms like non-dominated sorting genetic algorithm (NSGA-II), grey wolf optimization (GWO) and particle swarm optimization-GWO (PSO-GWO).</span>
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40

Mehos, Mark. "Another Pathway to Large-Scale Power Generation: Concentrating Solar Power." MRS Bulletin 33, no. 4 (2008): 364–66. http://dx.doi.org/10.1557/mrs2008.72.

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Photovoltaics is not the only means of using sunlight to generate electricity. Another major solar technology is called “concentrating solar power” or CSP. CSP technologies use concentrating optics to generate high temperatures that are used to drive conventional steam or gas turbines. CSP is generally considered a central generation technology, rather than a source of distributed generation. That is, a large amount of power is generated in one location, with transmission and distribution to the various points of use, rather than generating small amounts of the power at numerous points of use. Because of this feature, CSP is predominantly a utility-scale source of power.
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41

Wang, Qing, Yan Qin, and TianYing Li. "Research on Control of Distributed Wind Solar Hybrid Power System." E3S Web of Conferences 53 (2018): 01026. http://dx.doi.org/10.1051/e3sconf/20185301026.

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In this paper, the authors proposed control strategy algorithm(i.e.,maximum power point tracking(MPPT)) to improve the maximum power generation efficiency of distributed wind and solar power generation.The control algorithm mainly adopted the perturbation observation method(i.e., Power, Current, Torque, Speed and other parameters were perturbed, and the control value was adjusted according to the change of output value, so that the output value finally tended to the given value) and the improved MPPT control algorithm(i.e., change the reference voltage to change the duty ratio).Finally, the authors showed that the efficiency of electricity generation was significantly improved by experimental data comparison.
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42

Koshcheev, Lev, Evgeniy Popkov, and Ruslan Seit. "Operation experience of solar power plants connected to the Russian distributed grid." MATEC Web of Conferences 245 (2018): 07011. http://dx.doi.org/10.1051/matecconf/201824507011.

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The islanding condition of grid-tied solar power plant with hydro power plant of commensurable power is considered in this article. Based on the results of the article, the relevant conclusions were drawn.
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43

Reddy, Simarla Vijender, and Mane Manjula. "Reliable and efficient operation of distribution network by connecting solar distributed generation." International Journal of Applied Power Engineering (IJAPE) 12, no. 1 (2023): 83. http://dx.doi.org/10.11591/ijape.v12.i1.pp83-89.

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One of the major issues in the distribution network (DN) is ensuring that power systems operate optimally in light of the effects of distributed generation (DG). In a broader sense, optimal operation in a power system refers to the most efficient use of all active and reactive power generation and control equipment that adheres to physical and technical constraints. Most studies focused on DG size and location in the DN, using various optimization techniques for loss reduction. But in a practical distribution network, reliable operation is dependent on the demand and power supply at any given moment. Solar DGs provide variable power throughout the day, and loads are similarly variable. It is difficult for the DN to function efficiently and reliably while handling variable loads and DG power supplies. Voltages and power losses are measured as loads change by connecting solar DGs to assess the performance of the DN.
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44

Simarla, Vijender Reddy, and Manjula Mane. "Reliable and efficient operation of distribution network by connecting solar distributed generation." International Journal of Applied Power Engineering 12, no. 01 (2023): 83~89. https://doi.org/10.5281/zenodo.7700699.

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One of the major issues in the distribution network (DN) is ensuring that power systems operate optimally in light of the effects of distributed generation (DG). In a broader sense, optimal operation in a power system refers to the most efficient use of all active and reactive power generation and control equipment that adheres to physical and technical constraints. Most studies focused on DG size and location in the DN, using various optimization techniques for loss reduction. But in a practical distribution network, reliable operation is dependent on the demand and power supply at any given moment. Solar DGs provide variable power throughout the day, and loads are similarly variable. It is difficult for the DN to function efficiently and reliably while handling variable loads and DG power supplies. Voltages and power losses are measured as loads change by connecting solar DGs to assess the performance of the DN.
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45

Mingsheng, Zhang, Wu Hesong, Wan Wenkui, and Feng Peilei. "Design and study of distributed photo-voltaic power generation system in sewage treatment plant." MATEC Web of Conferences 175 (2018): 03003. http://dx.doi.org/10.1051/matecconf/201817503003.

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With the rapid development of the global economy, solar photovoltaic power generation has attracted wide attention all over the world. With the rapid development of all kinds of new energy in the world, photovoltaic power generation has a huge international market and broad prospects for development. This paper analyzes the feasibility of the distributed photovoltaic power generation system in this city, based on the actual situation of a photovoltaic power generation project in a certain place. Through the type selection of a variety of solar cell groups, component installation, operation mode selection, and inverter selection, Therefore, a more reasonable PV module and electrical part(The design and study of the first part, the two part of the electrical system and the lightning protection measures) are designed. The research shows that the comprehensive value of photovoltaic power is very high, and the distributed photovoltaic power station can be built in the areas where the geographical conditions are suitable and the light is sufficient. After the completion of the above power generation projects, the local solar energy resources will be fundamentally transformed into economic advantages.
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46

Alsafasfeh, Qais, Omar Saraereh, Imran Khan, and Sunghwan Kim. "Solar PV Grid Power Flow Analysis." Sustainability 11, no. 6 (2019): 1744. http://dx.doi.org/10.3390/su11061744.

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As the unconstrained integration of distributed photovoltaic (PV) power into a power grid will cause changes in the power flow of the distribution network, voltage deviation, voltage fluctuation, and so on, system operators focus on how to determine and improve the integration capacity of PV power rationally. By giving full consideration to the static security index constraints and voltage fluctuation, this paper proposes a maximum integration capacity optimization model of the PV power, according to different power factors for the PV power. Moreover, the proposed research analyzes the large-scale PV grid access capacity, PV access point, and multi-PV power plant output, by probability density distribution, sensitivity analysis, standard deviation analysis, and over-limit probability analysis. Furthermore, this paper establishes accessible capacity maximization problems from the Institute of Electrical and Electronics Engineers (IEEE) standard node system and power system analysis theory for PV power sources with constraints of voltage fluctuations. A MATLAB R2017B simulator is used for the performance analysis and evaluation of the proposed work. Through the simulation of the IEEE 33-node system, the integration capacity range of the PV power is analyzed, and the maximum integration capacity of the PV power at each node is calculated, providing a rational decision-making scheme for the planning of integrating the distributed PV power into a small-scale power grid. The results indicate that the fluctuations and limit violation probabilities of the power system voltage and load flow increase with the addition of the PV capacity. Moreover, the power loss and PV penetration level are influenced by grid-connected spots, and the impact of PV on the load flow is directional.
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47

Liu, Li Qun, and Chun Xia Liu. "Improved Output Characteristic of Distributed Hybrid Solar–Wind Generating Materials by Using Fuzzy and Immune MPPT Control Method." Advanced Materials Research 321 (August 2011): 76–79. http://dx.doi.org/10.4028/www.scientific.net/amr.321.76.

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The price of photovoltaic (PV) materials and wind generating system (WGS) materials is costly, and the stand-alone PV or WGS can not steadily supplied electric power for end user, fortunately, solar power and wind power can compensate well for one another under various locations and climatic conditions, an efficient maximum power point tracking (MPPT) method for hybrid solar-wind electricity materials is important to extract maximum power from wind and solar energy because of the costly price of PV and WGS. The fuzzy MPPT method is used to track the maximum power point (MPP) of distributed small WGS and PV and hybrid solar-wind system. In order to decrease the output oscillation, the immune response feedback principle (IRFP) is used to improve the track speed and response speed and robust of output characteristic of electricity materials, the results displayed that the immune theory can effectively improve the performance and the stability of electric power of stand-alone or hybrid generating materials.
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48

Syed Nasir, S. N., A. F. Othman, R. Ayop, and J. J. Jamian. "Power loss mitigation and voltage profile improvement by optimizing distributed generation." Journal of Physics: Conference Series 2312, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1742-6596/2312/1/012023.

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Abstract In a developing country, electricity has become the necessity of the growth industries; thus, the distribution system power quality and reliability are crucial. With low carbon initiatives, renewable energy or distributed generation (DG) is a promising source of electricity and leads the complex distribution system. Vital rises in DGs in power grids will significantly impact the system reliability and security, especially in power losses and voltage profiles parameters. This research focuses on an optimization placement and size of DGs in distribution systems to minimize power loss and improve voltage profile using the Modified Lightning Search Algorithm (MLSA). This research has modelled the practical 69-bus radial distribution system. Then MLSA with a weight summation approach is used to identify the suitable location and size for the DGs in the design proposal stage. The optimization objectives are to reduce power losses and improve the voltage profile, especially at the connection point of DGs. Besides that, load profile, DGs constant load and the solar load in distribution system modelled using MATLAB software. The results of the simulation using MLSA indicated that the optimization allocation and sizes of solar DGs applied with current load and load changes can minimize the power losses and improve voltage profile. These results verify the proposed approach’s effectiveness and success in determining the optimal location and sizing of solar DGs to reduce power losses as well as improve voltage profiles.
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49

Chang, Xue Fei, Xiang Yu Lv, Zhe Yong Piao, and De Xin Li. "Design and Application of Distributed Solar Power Quality Detection System." Applied Mechanics and Materials 742 (March 2015): 195–98. http://dx.doi.org/10.4028/www.scientific.net/amm.742.195.

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This paper studies the stand-alone PV systems, including modeling and simulation of photovoltaic cells based on a battery charge and discharge algorithm design, simulation and design portion of the push-pull boost, simulation and design of single-phase inverter system through experimental platform was build, complete functional test of each module. After considering comprehensive choice as to interfere with observation control method in this paper, based on the principle of interference observation, simulation model in Matlab, through its simulation results and did not join algorithm results were compared and found can effectively increase the output power of the photovoltaic cell.
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50

Zhang, Sufang. "Analysis of DSPV (distributed solar PV) power policy in China." Energy 98 (March 2016): 92–100. http://dx.doi.org/10.1016/j.energy.2016.01.026.

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