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Journal articles on the topic 'Power system optimization models'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Priesmann, Jan, Lars Nolting, and Aaron Praktiknjo. "Are complex energy system models more accurate? An intra-model comparison of power system optimization models." Applied Energy 255 (December 2019): 113783. http://dx.doi.org/10.1016/j.apenergy.2019.113783.

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Hu, Qi Zhou, Xiu Ge Zhang, and Xun Cheng Huang. "Optimization Models Based on Line Loss Post Management in Power System." Advanced Materials Research 774-776 (September 2013): 1891–96. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1891.

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This paper researched the post management on line loss management in power system. As while, This article studied the characters of the line loss management in power system depend on the practical experiences. it would pose a new problem to address the regulatory lacunae revealed by post management department. Meanwhile, The article established a optimal model to restrict the working time of the manager which is so-called post rotation cycle. And then, the paper gave out the further discussion about the model, and the model proved to be reliable and practical. It is of great value to probe int

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Voropai, N. I., and V. I. Zorkaltsev. "Optimization Models and Methods Developed at the Energy Systems Institute." International Journal of Energy Optimization and Engineering 2, no. 4 (2013): 1–15. http://dx.doi.org/10.4018/ijeoe.2013100101.

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The paper presents shortly some optimization models of energy system operation and expansion that have been created at the Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences. Consideration is given to the optimization models of energy development in Russia, a software package intended for analysis of power system reliability, and model of flow distribution in hydraulic systems. A general idea of the optimization methods developed at the Energy Systems Institute is given including the reduced gradient method, interior point algorithms, method of modified Lagrange

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Liu, Dun Nan, Chao Chun Luo, and Qing Qi Chen. "Evaluating System for Direct Purchasing Exchange of Major Power Users." Applied Mechanics and Materials 378 (August 2013): 429–34. http://dx.doi.org/10.4028/www.scientific.net/amm.378.429.

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This paper Research on the Intelligent Optimization Operating Modeling of Pumped Storage Power Station in Hunan Power Grid. First it introduces the characteristics of Hunan power grid and analysis the practical requirement of dispatching. Then it brings forward the intelligent optimization model and set up running model for pumped storage power station of Hei Mi-feng. At last, it introduces the application of pumped storage power station in Hunan power grid and proves the effectiveness of the optimization models.

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SHUCHI, Shigemitsu. "Basic investigation on optimization of small wind power generation systems utilizing simple system models." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): J05304. http://dx.doi.org/10.1299/jsmemecj.2019.j05304.

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Gan, Jiatian, Jingli Li, Wannian Qi, Aynur Kurban, Yi He, and Su Guo. "A Review on Capacity Optimization of Hybrid Renewable Power System with Energy Storage." E3S Web of Conferences 118 (2019): 02055. http://dx.doi.org/10.1051/e3sconf/201911802055.

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With the rapid development of the global economy, there is a sharp shortage of fossil energy sources. Therefore the development of renewable energy technologies such as wind power and solar power has become a hot issue nowadays. However, due to the randomness, intermittency and instability of renewable energy, it is difficult to provide continuous and stable electricity when it runs independently. Hybrid renewable power systems with energy storage can improve the reliability of power supply. Capacity optimization is the key of hybrid renewable power system design and the basis of optimal sched

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Zheng, Yan, Ziming Yan, Kangjie Chen, Jianwen Sun, Yan Xu, and Yang Liu. "Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization." IEEE Transactions on Smart Grid 12, no. 4 (2021): 3613–23. http://dx.doi.org/10.1109/tsg.2021.3062700.

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Pereira-Cardenal, Silvio J., Birger Mo, Niels D. Riegels, Karsten Arnbjerg-Nielsen, and Peter Bauer-Gottwein. "Optimization of Multipurpose Reservoir Systems Using Power Market Models." Journal of Water Resources Planning and Management 141, no. 8 (2015): 04014100. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000500.

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Iakubovskii, Dmitrii, and Dmitry Krupenev. "Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems." E3S Web of Conferences 209 (2020): 06008. http://dx.doi.org/10.1051/e3sconf/202020906008.

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Analysis of domestic and foreign software systems for assessing the resource adequacy showed a variety of models and methods used in them. Many software systems use both linear and nonlinear models, these models are optimized according to various criteria to simulate the operation of the system. As tools for solving, software usually use commercial high-level modelling systems for mathematical optimization. However, in addition to the existing ready-made commercial solutions, the authors consider the effectiveness of optimization methods, as well as their parallelized versions, which can be in

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Sambariya, D. K., and R. Prasad. "Application of Bat Algorithm to Optimize Scaling Factors of Fuzzy Logic-Based Power System Stabilizer for Multimachine Power System." International Journal of Nonlinear Sciences and Numerical Simulation 17, no. 1 (2016): 41–53. http://dx.doi.org/10.1515/ijnsns-2015-0025.

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AbstractThis article presents the design of optimized fuzzy logic-based power system stabilizer (FPSS) to enhance small signal stability using bat algorithm (BA). The proposed optimization of scaling factors of FPSS is considered with an objective function based on square error minimization to guarantee the stability of nonlinear models of test system using BA. The BA-optimized FPSS (BAFPSS) controller is applied to the standard IEEE ten-machine thirty-nine-bus test power system model in the decentralized manner, and the performance is compared with the robust fuzzy controller. The robustness

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Ouassou, Jabir Ali, Julian Straus, Marte Fodstad, Gunhild Reigstad, and Ove Wolfgang. "Applying Endogenous Learning Models in Energy System Optimization." Energies 14, no. 16 (2021): 4819. http://dx.doi.org/10.3390/en14164819.

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Conventional energy production based on fossil fuels causes emissions that contribute to global warming. Accurate energy system models are required for a cost-optimal transition to a zero-emission energy system, which is an endeavor that requires a methodical modeling of cost reductions due to technological learning effects. In this review, we summarize common methodologies for modeling technological learning and associated cost reductions via learning curves. This is followed by a literature survey to uncover learning rates for relevant low-carbon technologies required to model future energy

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Kang, Li, and Xiao Guang Li. "Particle Swarm Optimization Solving Nonlinear Programming Problems in Power System." Advanced Materials Research 760-762 (September 2013): 1183–86. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1183.

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In order to improve the control capability of the power system voltage stability and to enhance spatial and temporal coordination of voltage control means, it is essential to establish the model of emergency voltage control that can globally mobilize reactive power support and voltage control potential. Focus on the long-term voltage stability of power system, the paper introduce nonlinear programming into emergency voltage control, settle the problem that how to establish the model of emergency voltage control. Based on detailed models of power system, the receding optimization model of long-

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Deng, Xu, and Tao Lv. "Power system planning with increasing variable renewable energy: A review of optimization models." Journal of Cleaner Production 246 (February 2020): 118962. http://dx.doi.org/10.1016/j.jclepro.2019.118962.

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Teshome, D. F., P. F. Correia, and K. L. Lian. "Stochastic Optimization for Network-Constrained Power System Scheduling Problem." Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/694619.

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The stochastic nature of demand and wind generation has a considerable effect on solving the scheduling problem of a modern power system. Network constraints such as power flow equations and transmission capacities also need to be considered for a comprehensive approach to model renewable energy integration and analyze generation system flexibility. Firstly, this paper accounts for the stochastic inputs in such a way that the uncertainties are modeled as normally distributed forecast errors. The forecast errors are then superimposed on the outputs of load and wind forecasting tools. Secondly,

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Frivaldsky, Michal, Jan Morgos, Michal Prazenica, and Kristian Takacs. "System Level Simulation of Microgrid Power Electronic Systems." Electronics 10, no. 6 (2021): 644. http://dx.doi.org/10.3390/electronics10060644.

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In this paper, we describe a procedure for designing an accurate simulation model using a price-wised linear approach referred to as the power semiconductor converters of a DC microgrid concept. Initially, the selection of topologies of individual power stage blocs are identified. Due to the requirements for verifying the accuracy of the simulation model, physical samples of power converters are realized with a power ratio of 1:10. The focus was on optimization of operational parameters such as real-time behavior (variable waveforms within a time domain), efficiency, and the voltage/current ri

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Wang, Shih-Ming, Chun-Yi Lee, Hariyanto Gunawan, and Chin-Cheng Yeh. "An Accuracy-Efficiency-Power Consumption Hybrid Optimization Method for CNC Milling Process." Applied Sciences 9, no. 7 (2019): 1495. http://dx.doi.org/10.3390/app9071495.

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This study proposes a hybrid optimization method which can help users to find optimal cutting parameters which will provide better efficiency and lower power consumption for a milling process. Empirical models including performance-power consumption characteristic curves of servo motors were built, and an optimization algorithm adopting the empirical models with procedure guiding function was developed. The empirical models were built based on the measurements from planned machining experiments with different combination of machining parameters including spindle speed, feedrate, and chip load,

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Podder, Amit Kumer, Sayemul Islam, Nallapaneni Manoj Kumar, et al. "Systematic Categorization of Optimization Strategies for Virtual Power Plants." Energies 13, no. 23 (2020): 6251. http://dx.doi.org/10.3390/en13236251.

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Due to the rapid growth in power consumption of domestic and industrial appliances, distributed energy generation units face difficulties in supplying power efficiently. The integration of distributed energy resources (DERs) and energy storage systems (ESSs) provides a solution to these problems using appropriate management schemes to achieve optimal operation. Furthermore, to lessen the uncertainties of distributed energy management systems, a decentralized energy management system named virtual power plant (VPP) plays a significant role. This paper presents a comprehensive review of 65 exist

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18

Ren, Yan, Yuan Zheng, Yan Pin Li, Jian Jun Huang, and Dun Zhang. "Modeling and Optimization of Hybrid Wind/PV Pumped-Storage Power System." Applied Mechanics and Materials 48-49 (February 2011): 693–96. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.693.

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The hybrid wind/PV pumped-storage power system is to solve the electro-problem of remote and undeveloped areas short of power. Aim to the special physical geography condition of some island, hybrid wind/PV pumped-storage power system is brought forward, which is based on traditional hybrid wind/PV power system, and which storages energy by using pumped-storage. The mathematical models of main components of the system are brought forward. The optimization method is by using improved heredity arithmetic. Aim to the island the system model is brought forward, and the optimization method is applie

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19

Kamwa, I., and L. Gerin-Lajoie. "State-space system identification-toward MIMO models for modal analysis and optimization of bulk power systems." IEEE Transactions on Power Systems 15, no. 1 (2000): 326–35. http://dx.doi.org/10.1109/59.852140.

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20

Li, Huan-huan, Li-wei Ju, Qing-kun Tan, He Xin, and Zhong-fu Tan. "An Optimization Scheduling Model for Wind Power and Thermal Power with Energy Storage System considering Carbon Emission Trading." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/723127.

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Wind power has the characteristics of randomness and intermittence, which influences power system safety and stable operation. To alleviate the effect of wind power grid connection and improve power system’s wind power consumptive capability, this paper took emission trading and energy storage system into consideration and built an optimization model for thermal-wind power system and energy storage systems collaborative scheduling. A simulation based on 10 thermal units and wind farms with 2800 MW installed capacity verified the correctness of the models put forward by this paper. According to

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21

Guo, Cai Yun, and Hong Bin Wu. "Capacity Optimization of Energy Storage Unit in Distributed Generation System." Advanced Materials Research 608-609 (December 2012): 1116–19. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1116.

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The photovoltaic(PV) generation model and the wind power generation model are introduced in this paper. Taking the best economy and reliability of system operation as the objective functions and the system power balance and battery storage performance indices as the constraints, the optimal capacity of battery energy storage can be determined with the Tabu search algorithm. With the example system, the simulation results show that the proposed models and the algorithm are correct.

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22

Klein, Levente J., Sergio Bermudez Rodrigues, Satya Nitta, Robert Sandstrom, Supratik Guha, and Hendrik Hamann. "Optimization of photovoltaic power generation using a Measurement and Management Technology (MMT) platform." International Symposium on Microelectronics 2010, no. 1 (2010): 000760–65. http://dx.doi.org/10.4071/isom-2010-wp6-posters-lklein.

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In this article we describe preliminary results for a general data acquisition and management platform applied to system level solar farm energy optimization. The system optimization takes into account weather, solar radiance, sky cloud coverage, and solar panel characteristics. Despite continuous improvement in photovoltaic (PV) systems, the generated power of many installations is underperforming due to factors like: light obstruction, orientation and tilt of the solar panels, variation in manufacturing and installation process and debris or soiling on the solar panels. To overcome the above

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23

Sechilariu, Manuela. "Intelligent Energy Management of Electrical Power Systems." Applied Sciences 10, no. 8 (2020): 2951. http://dx.doi.org/10.3390/app10082951.

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Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are alternative current (AC) or direct current (DC), high voltage or low voltage, high power or small power, integrated into the distribution system or the transmission network, multi-source systems always require an intelligent energy management that is integrated into the power system. A comprehensive intelligent energy system aims at providing overall energy efficiency with regard to the following: increased power genera

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24

von Spakovsky, M. R., and R. B. Evans. "The Design and Performance Optimization of Thermal System Components." Journal of Energy Resources Technology 111, no. 4 (1989): 231–38. http://dx.doi.org/10.1115/1.3231429.

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A general analytical approach which directly determines the optimum thermodynamic and economic behavior of thermal systems and which is described in detail in von Spakovsky and Evans (1987) and von Spakovsky (1986) is briefly discussed here in the context of establishing a “stable economic environment” around each cycle component. Such environments allow for isolated, individual component optimizations which need not to be performed at the time the system is optimized, but which nonetheless correspond to some overall system optimum. In these environments, very “detailed” thermoeconomic compone

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25

Qi, Xian Jun, Xiang Tian Peng, and Xiang Yu Huang. "Imprecise Risk Assessment of Power System." Applied Mechanics and Materials 492 (January 2014): 526–30. http://dx.doi.org/10.4028/www.scientific.net/amm.492.526.

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The incomplete probabilistic information can lead to imprecision. The traditional power system risk assessment can only deal with random information, but it cannot deal with the imprecise information. Interval Probability (IP) can reflect both randomness and imprecision. The risk assessment of power system based on IP is an effective method to deal with imprecision and can provide more useful information to the decision-makers. In the paper, the completeness degree of probabilistic information was depicted by IP. The nonlinear optimization models for imprecise risk assessment of generating sys

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Wang, Zhen Shu, Shao Run Bian, Da Hai Zhang, Xiao Di Wang, Xiao Yu Liu, and Kai Yu. "Parameter Identification of Load Models Using the CQDPSO Algorithm." Advanced Materials Research 986-987 (July 2014): 1375–78. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1375.

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Load modeling has become a critical problem that is urgent to be solved in power system modeling. In this paper, CQDPSO algorithm, a hybrid optimization algorithm that combines quantum delta-potential-well-based particle swarm optimization (QDPSO) algorithm and chaotic optimization algorithm (COA), is proposed to identify parameters of the selected load model. Numerical results illustrate that the proposed method can improve the accuracy and reduce the computation complexity for load model parameter identifications.

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Wang, Zi Bo. "Optimization Design of PV/ Wind Hybrid System Considering Power Supply Reliability." Advanced Materials Research 805-806 (September 2013): 293–98. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.293.

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In order to give full play to PV/Wind hybrid system, a mathematic model of optimization design considering power supply reliability is proposed in this paper. Firstly, the structure of PV/Wind hybrid system is given, so are the mathematical models of wind generators, PV modulesand batteries are. Then,the mathematic model of optimization design is determined: in the case of meeting the power supply reliability, an objective function is constructed to minimize the total costs of system investment costs, operation and maintenance costs and system power loss cost, which are limited by realistic co

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Arredondo, Francisco, Edgardo Castronuovo, Pablo Ledesma, and Zbigniew Leonowicz. "Analysis of Numerical Methods to Include Dynamic Constraints in an Optimal Power Flow Model." Energies 12, no. 5 (2019): 885. http://dx.doi.org/10.3390/en12050885.

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The optimization of the operation of power systems including steady state and dynamic constraints is efficiently solved by Transient Stability Constrained Optimal Power Flow (TSCOPF) models. TSCOPF studies extend well-known optimal power flow models by introducing the electromechanical oscillations of synchronous machines. One of the main approaches in TSCOPF studies includes the discretized differential equations that represent the dynamics of the system in the optimization model. This paper analyzes the impact of different implicit and explicit numerical integration methods on the solution o

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Wang, Ke Yan, and Qi Sheng Wang. "Mathematical Model and Numerical Experiment of Photovoltaic Water Pumping System." Advanced Materials Research 772 (September 2013): 653–57. http://dx.doi.org/10.4028/www.scientific.net/amr.772.653.

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This paper presents the engineering analytical models of photovoltaic (PV) water pumping system from electronics theory, and some mathematical models of system components have been established. Studies have shown that the minimum unit water cost may not be reached only with the control strategy of maximum output power of the system. Therefore, system optimization is very necessary to reducing the capacity for every unit of pumped water, which is based on the design optimization theory and has shown its economics.

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Hernando, Miguel, Virgilio Gómez, Alberto Brunete, and Ernesto Gambao. "CFD Modelling and Optimization Procedure of an Adhesive System for a Modular Climbing Robot." Sensors 21, no. 4 (2021): 1117. http://dx.doi.org/10.3390/s21041117.

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Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper, a CFD (computer fluid dynamics) modelling and optimization process of a robot adhesion system is carried out to determine the best performing configuration in terms of vacuum and power consumption. Analytical and numerical models were developed to predict the behaviour of the system for different configurations. The models were validated, using test rig measurements, by c

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Alsadi, Samer, and Tamer Khatib. "Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools." Applied Sciences 8, no. 10 (2018): 1761. http://dx.doi.org/10.3390/app8101761.

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The photovoltaic (PV) generating system has high potential, since the system is clean, environmental friendly and has secure energy sources. There are two types of PV system, which are grid connected and standalone systems. In the grid connected photovoltaic system (GCPV), PV generator supplies power to the grid, whether or not the whole or a portion of the generated energy will be used to supply load demands. Meanwhile, the standalone photovoltaic system (SAPV) is used to fulfil a load demand that close to its point of use. These days, many researchers study in term of optimization sizing of

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Lin, Weiwei, Haoyu Wang, and Wentai Wu. "A Power Monitoring System Based on a Multi-Component Power Model." International Journal of Grid and High Performance Computing 10, no. 1 (2018): 16–30. http://dx.doi.org/10.4018/ijghpc.2018010102.

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As the increasing IT energy consumption emerged as a prominent issue, computer system energy consumption monitoring and optimization has gradually become a significant research forefront. However, most existing energy monitoring methods are limited to hardware-based measurement or coarse-grained energy consumption estimation. They cannot provide fine-grained energy consumption data (i.e., component energy consumption) and high-scalability for distributed cloud environments. In this article, the authors first study widely-used power models of CPUs, memory and hard disks. Then, following an inve

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Xing, Yu Hui, Gui Ping Zhu, Yong Hong Xia, and Jian Bo Xin. "Power Control of Microgrid with Rich Small Hydropower Stations." Advanced Materials Research 986-987 (July 2014): 412–18. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.412.

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In China, some remote areas with rich small hydropower stations suffer from a tradeoff between water surplus and off-limit voltage in the grid during wet seasons. The microgrid of new energy sources provides a new way of solving this problem. Under the background of the microgrid proposed in somewhere of Jiangxi Province, this paper firstly carries out simplified model on the actual system. Output models of PV and small hydropower stations are established. Then with Minimizing transmission losses of microgrid system and the amount of all small hydropower abandoned waters as the optimization ob

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Kamal, Elkhatib, Magdy Koutb, Abdul Azim Sobaih, and Sahar Kaddah. "Maximum Power Control of Hybrid Wind-Diesel-Storage System." Advances in Fuzzy Systems 2008 (2008): 1–9. http://dx.doi.org/10.1155/2008/963710.

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Extraction of maximum wind power of variable speed wind turbines in hybrid wind-diesel-storage system (HWDSS) is considered due to economical purposes. The proposed control algorithm utilizes extended fuzzy-linear matrix equalities (FLMEs) systems design of stabilizing fuzzy controllers for nonlinear systems described by Takagi-Sugeno (TS) fuzzy models. The algorithm maximizes the power coefficient for a fixed pitch. Moreover, it reduces the voltage ripple and stabilizes the system over a wide range of wind speed variations. The control scheme is tested for different profiles of wind speed pat

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Raventós, Oriol, and Julian Bartels. "Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models." Energies 13, no. 4 (2020): 988. http://dx.doi.org/10.3390/en13040988.

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The growing share of renewable energy makes the optimization of power flows in power system models computationally more complicated, due to the widely distributed weather-dependent electricity generation. This article evaluates two methods to reduce the temporal complexity of a power transmission grid model with storage expansion planning. The goal of the reduction techniques is to accelerate the computation of the linear optimal power flow of the grid model. This is achieved by choosing a small number of representative time periods to represent one whole year. To select representative time pe

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Xu, Ze Sheng, Zhi Feng Ma, Xin Wen Di, Tao Luo, Hong Yun Guo, and Bao Chen Niu. "The Study on Electric Power System Based on Swarm Intelligence." Advanced Materials Research 442 (January 2012): 424–29. http://dx.doi.org/10.4028/www.scientific.net/amr.442.424.

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In this paper, we introduce the swarm intelligence computation and its applications in power system. Because swarm intelligence does not need any precondition of centralized control and global model, it is very suitable to solve large scale power system nonlinear optimization problems which are hard to establish effective formalized models and difficult to be solved by traditional methods. In order to apply swarm intelligence better in power system, we propose two central research directions in the future: (1) The mathematical basis of swarm intelligence is unsubstantial and it lacks profound

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Tran, Le Nhat Hoang, Laurent Gerbaud, Nicolas Retière, and Hieu Nguyen Huu. "Use of SQP optimization algorithm to size a multiphysical system." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 2 (2018): 661–80. http://dx.doi.org/10.1108/compel-12-2016-0519.

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PurposeStatic converters generate current harmonics in power grids. For numerous studies, analytical frequency modeling is preferred to carry out their harmonic modeling in the context of sizing by optimization. However, a design by optimization has to consider other constraints, e.g. modeling constraints and operating constraints. In this way, this paper aims to focus on applying an analytical frequency modeling on the sizing by optimization of an aircraft electrical power channel. Design/methodology/approachThe paper aims to size a multiphysical system by optimization. In this way, the sizin

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Li, Xin, Qun Yan, and Da Tai Yu. "Parameter Optimization for a Polymer Electrolyte Membrane Fuel Cell Model." Applied Mechanics and Materials 37-38 (November 2010): 834–38. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.834.

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The accurate mathematical model is an important tool for simulation and design analysis of fuel cell power systems. Semi-empirical models are easier to be obtained and can also be used to accurately predict the performance of fuel cell system for engineering applications. Particle swarm optimization (PSO) is a recently invented high-performance algorithm. In this paper, a parameter optimization technique of PEMFC semi-empirical models based on DKPSO was proposed in terms of the voltage-current characteristics. The simulated and experimental data confirmed the validity of the optimization techn

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Pytlak, Pawel, Petr Musilek, Edward Lozowski, and Dan Arnold. "Evolutionary Optimization of an Ice Accretion Forecasting System." Monthly Weather Review 138, no. 7 (2010): 2913–29. http://dx.doi.org/10.1175/2010mwr3130.1.

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Abstract The ability to model and forecast accretion of ice on structures is very important for many industrial sectors. For example, studies conducted by the power transmission industry indicate that the majority of failures are caused by icing on overhead conductors and other components of power networks. This paper presents an extension to the ice accretion forecasting system (IAFS) that is comprised of a numerical weather prediction model, a precipitation-type algorithm, and an ice accretion model. To optimize the performance of IAFS, the parameters of the precipitation-type algorithm are

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Pawlak, Mariusz. "Active Fault Tolerant Control System for the Measurement Circuit in a Drum Boiler Feed-Water Control System." Measurement and Control 51, no. 1-2 (2018): 4–15. http://dx.doi.org/10.1177/0020294018754714.

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This paper presents a water-level control system in a drum boiler. The system was equipped with a fault tolerant control–type diagnostic system. The paper presents the results of tests conducted on the fault tolerant control system implemented in the water-level control system in a boiler drum. The diagnostics of the measurement circuits was carried out online. To that end, the appropriate partial models were developed and tested. This allowed for the application of analytical redundancy for the measurement circuits. The paper also identifies the influence of diagnostics and fault tolerance on

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Zhong, Qian Wen, Yang Xu, Jie Yang, and Zhuo Meng. "PV Array Mathematical Model Optimization Based on Monitoring Data." Applied Mechanics and Materials 376 (August 2013): 336–40. http://dx.doi.org/10.4028/www.scientific.net/amm.376.336.

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The type of Solar panels in photovoltaic power generating system is generally photovoltaic array. On the basis of the photovoltaic array mathematical model for engineering , using the mathematical software MATLAB Simulink tool to build a photovoltaic array simulation model and utilizing monitoring data acquired by the detection system-Sunny Sensor Box-for Donghua University photovoltaic power generating system, the mathematical model of the PV array for engineering is optimized and the optimization includes linear and natural exponential optimization. Furthermore, higher accuracy of the optimi

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Zhang, Ming Guang, and Yun Hu. "Joint Optimization of the Wind-Pumped Storage System." Advanced Materials Research 875-877 (February 2014): 1852–57. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1852.

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To improve the connected-grid wind power quality as well as profit, the pumped storage station is used to configure the wind farm. The economical benefit and deviation models are built as objective functions, the united operation is based on fuzzy multi-objective evolutionary algorithm (FMOEA). In order to outstand method advantages, the results are compared with the consequences from each objective function that are optimized respectively. The analysis shows that a wind farm with a pumped storage station is as a combined system and uses FMOEA, not only improving profit, but also paying attent

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Ma, Xiao Yi, and Wei Wei. "Research on Power System Stochastic Economic Dispatch Considering Interruptible Load and Wind Power." Advanced Materials Research 986-987 (July 2014): 493–97. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.493.

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Interruptible load was an important measure for demand response which can effectively implement the interaction between grid side and demand side. It’s also the important feature and component of smart grid. This paper established a stochastic economic dispatch model which brought both interruptible load and stochastic wind generation models into scheduling, and took the active and reactive power constraint of generator, the adjustable capacity constraint of interruptible load and the constraint of branch power flow into account. On the basis of Monte Carlo simulation and modified interior poi

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Moayedi, Hossein, Abdolreza Osouli, Dieu Tien Bui, and Loke Kok Foong. "Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles." Sensors 19, no. 21 (2019): 4698. http://dx.doi.org/10.3390/s19214698.

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Regular optimization techniques have been widely used in landslide-related problems. This paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf optimization (GWO) and biogeography-based optimization (BBO) metaheuristic algorithms in the Ardabil province, Iran. To this end, these algorithms are synthesized with a multi-layer perceptron (MLP) neural network for optimizing its computational parameters. The used spatial database consists of fourteen landslide conditioning factors, namely elevation, slope aspect, land use, plan curvature, profile curvature, soil

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Hong, Tao, and Geng-xin Zhang. "Power Allocation for Reducing PAPR of Artificial-Noise-Aided Secure Communication System." Mobile Information Systems 2020 (July 18, 2020): 1–15. http://dx.doi.org/10.1155/2020/6203079.

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The research of improving the secrecy capacity (SC) of wireless communication system using artificial noise (AN) is one of the classic models in the field of physical layer security communication. In this paper, we consider the peak-to-average power ratio (PAPR) problem in this AN-aided model. A power allocation algorithm for AN subspaces is proposed to solve the nonconvex optimization problem of PAPR. This algorithm utilizes a series of convex optimization problems to relax the nonconvex optimization problem in a convex way based on fractional programming, difference of convex (DC) functions

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Lolis, L. H. A., P. N. Stroski, and E. G. Lima. "System Level Design of RF Receivers Based on Non Linear Optimization and Power Consumption Models." Radioengineering 27, no. 1 (2019): 347–56. http://dx.doi.org/10.13164/re.2019.0347.

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Dzikowski, Rafal. "DSO–TSO Coordination of Day-Ahead Operation Planning with the Use of Distributed Energy Resources." Energies 13, no. 14 (2020): 3559. http://dx.doi.org/10.3390/en13143559.

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Growing penetration of uncoordinated Distributed Energy Resources (DERs) in distribution systems is contributing to the increase of the load variability to be covered at the transmission system level. Forced, fast and substantial changes of power plants’ output powers increase the risk of their failures, which threatens the reliable and safe delivery of electricity to end users in the power system. The paper handles this issue with the use of DERs and proposes a bilevel coordination concept of day-ahead operation planning with new kind of bids to be submitted by Distribution System Operators (

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Mahmoud, Karar, Mohamed Abdel-Nasser, Eman Mustafa, and Ziad M. Ali. "Improved Salp–Swarm Optimizer and Accurate Forecasting Model for Dynamic Economic Dispatch in Sustainable Power Systems." Sustainability 12, no. 2 (2020): 576. http://dx.doi.org/10.3390/su12020576.

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Worldwide, the penetrations of photovoltaic (PV) and energy storage systems are increased in power systems. Due to the intermittent nature of PVs, these sustainable power systems require efficient managing and prediction techniques to ensure economic and secure operations. In this paper, a comprehensive dynamic economic dispatch (DED) framework is proposed that includes fuel-based generators, PV, and energy storage devices in sustainable power systems, considering various profiles of PV (clear and cloudy). The DED model aims at minimizing the total fuel cost of power generation stations while

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Liang, Mei Lian, Jun Li Wang, and Wei Dong Zhao. "Optimization Analysis of the Tridimensional Container Terminal Transmission System." Applied Mechanics and Materials 157-158 (February 2012): 102–5. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.102.

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Optimization analysis of transmission system simulation models and discussion on the optimal matching of transmission equipments are carried out based on the existing tridimensional rail power driven container terminal transmission system network. Two-dimensional animation display of the transmission system is realized through multiple simulations utilizing simulation software. The simulation analysis indicates the average operating efficiency of the equipments such as quay crane and gantry crane have reached 82 percent. The simulation results have some valuable reference for the actual produc

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Fu, Yan Yi, and Li Xu. "Study on Power Load Forecasting Method Based on Ant Colony Optimization." Applied Mechanics and Materials 543-547 (March 2014): 733–36. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.733.

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Load forecasting is one of the important working of the power system, which plays a very significant role in various departments of power system operation. Load accurate scientific prediction can make power decision-making departments economically and reasonably to adjust generator, power line, which makes it more reasonable. This paper introduces the optimal combination forecast model, and organically combine with several electric load forecasting models by the weight, come to more accurate results, with higher prediction accuracy, and the relative error is small, it has some practical value.

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