Academic literature on the topic 'Swarm nano grid system'

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Journal articles on the topic "Swarm nano grid system"

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Nagarajan, Karthikeyan, Kaliappan Esakkiappan, Dinakaran Kala Pandian, and Dharmaprakash Ramasamy. "Independent swarm grid vehicle charging by a logical DC-DC converter with hybrid boundary conduction mode." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1318. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1318-1326.

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<p>A modern and expanding civilization now takes for granted that future environments will be clean, efficient, and carbon neutral. Energy-efficient electrical loads, such as v ehicle charging now often u sed in schools, companies, and gated communities. Recent articles have focused more on Swarm smart grid technology as a way to transmit power from rooftop solar installations. A major issue with the system is the necessity for inverters and other conversio n equipment. The mechanism consumes part of the power generated by this process. It is possible to utilize the DC supply to power th
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Karthikeyan, N., S. Nanthagopal, R. Dharmaprakash, and R. Ravikumar. "Investigation on implementing the swarm nano grid system for effective utilization of solar-powered agro-industries." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1128. http://dx.doi.org/10.11591/ijpeds.v15.i2.pp1128-1136.

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The agro-industry is the backbone of the global economy, even in the twenty-first century. The agro-industry would not be what it is now without irrigation. The production and use of renewable energy in this sector of the agricultural economy have also expanded rapidly in recent years. Base-load power production and conversions dominate the literature. This research examines user concerns. The swarm nano grid system fixes this. The pulse width modulation (PWM) sinusoidal inverter converted stable DC power from the bidirectional DC-DC converter into sinusoidal AC voltage for the irrigation pump
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Karthikeyan, N., S. Nanthagopal, R. Dharmaprakash, and R. Ravikumar. "Investigation on implementing the swarm nano grid system for effective utilization of solar-powered agro-industries." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1128–36. https://doi.org/10.11591/ijpeds.v15.i2.pp1128-1136.

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The agro-industry is the backbone of the global economy, even in the twenty-first century. The agro-industry would not be what it is now without irrigation. The production and use of renewable energy in this sector of the agricultural economy have also expanded rapidly in recent years. Base-load power production and conversions dominate the literature. This research examines user concerns. The swarm nano grid system fixes this. The pulse width modulation (PWM) sinusoidal inverter converted stable DC power from the bidirectional DC-DC converter into sinusoidal AC voltage for the irrigation pump
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Qayyum, Faiza, Reem Alkanhel, and Ammar Muthanna. "Maximizing Efficiency in Energy Trading Operations through IoT-Integrated Digital Twins." Sensors 23, no. 24 (2023): 9656. http://dx.doi.org/10.3390/s23249656.

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The Internet of Things (IoT) has brought about significant transformations in multiple sectors, including healthcare and navigation systems, by offering essential functionalities crucial for their operations. Nevertheless, there is ongoing debate surrounding the unexplored possibilities of the IoT within the energy industry. The requirement to better the performance of distributed energy systems necessitates transitioning from traditional mission-critical electric smart grid systems to digital twin-based IoT frameworks. Energy storage systems (ESSs) used within nano-grids have the potential to
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Rawa, Muhyaddin, Abdullah Abusorrah, Yusuf Al-Turki, et al. "Optimal Allocation and Economic Analysis of Battery Energy Storage Systems: Self-Consumption Rate and Hosting Capacity Enhancement for Microgrids with High Renewable Penetration." Sustainability 12, no. 23 (2020): 10144. http://dx.doi.org/10.3390/su122310144.

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Recent advances in using renewable energy resources make them more accessible and prevalent in microgrids (MGs) and nano grids (NGs) applications. Accordingly, much attention has been paid during the past few years to design and operate MGs with high renewable energy sources (RESs) penetration. Energy storage (ES) is the crucial enabler for reliable MG operation to help MGs become more resistant to disruptions, particularly with the increased penetration of RESs. In this regard, this paper formulates a two-stage optimization framework to improve a grid-connected MG performance. Firstly, the op
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Bharani Prakash, T., and R. Sankar Ganesh. "Harmonic Minimization in Grid Coupled Photovoltaic Structures Using Selective Harmonic Elimination Pulse-Width Modulation in Multiple Level Series Linked Nano-Scale Double Gate Hetero-Structure MOSFET Based H Type Bridge Inverters." Journal of Nanoelectronics and Optoelectronics 17, no. 1 (2022): 128–35. http://dx.doi.org/10.1166/jno.2022.3178.

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Semiconductor Chip makers and semiconductor device designers denote that, a reliable device should have a character with high speed and low power loss in its operation, which could be done in a nano-scale regime. A nano-scale double gate hetero-structure MOSFET based multilevel inverter is a power electronic arrangement system that generates multilevel output voltage with lower harmonic distortion and reduced power switching loss. In a grid-connected photovoltaic device, this power electronic inverter is a critical and essential component. Series coupled H-bridge multilayered inverter is a wid
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Toshi Mandloi, Shailendra Kumar Sharma, S. C. Choube. "Energy Management in Grid Integrated Microgrid System using Demand Response." Power System Technology 49, no. 1 (2025): 767–83. https://doi.org/10.52783/pst.1621.

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This paper presents an energy management system (EMS) for a grid integrated microgrid with demand response program (DRP) using a farmland fertility algorithm (FFA). A demand response program (DRP) is incorporated with FFA for an EMS. This paper proposes an application of a new metaheuristic algorithm i.e., FFA on incentive based DRP for optimization of the operational and procurement cost and adjusting the load demand of customers during the peak load hours. The technique is applied on IEEE three and ten unit systems integrated with wind and solar system. The proposed FFA algorithm with DRP is
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Reddy, Kumeshan, and Akshay Kumar Saha. "An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced Grid Voltages." Energies 15, no. 20 (2022): 7476. http://dx.doi.org/10.3390/en15207476.

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This work presents an investigation into the use of swarm intelligence techniques for the control of the doubly fed induction generator under unbalanced grid voltages. Swarm intelligence is a concept that was introduced in the late 20th century but has since undergone constant evolution and modifications. Similarly, the doubly fed induction generator has recently come under intense investigation. Owing to the direct grid connection of the DFIG, an unbalanced grid voltage harshly impacts its output power. Established mitigation measures include the use of the dual vector and proportional–resona
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Li, Junwei, Yafang Tang, and Junke Li. "Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System." Journal of Electrical and Computer Engineering 2020 (April 28, 2020): 1–9. http://dx.doi.org/10.1155/2020/1959073.

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LCL-type converters are widely used in grid-connected systems due to their small size and good filtering performance. However, the resonance suppression problem brought by the LCL filter cannot be ignored. The capacitive current feedback is a commonly used resonance suppression method. In applications, the grid impedance can cause LCL filter resonance. Thus, this paper presents an adaptive resonance suppression method based on the RBF network optimized by particle swarm optimization. This method optimizes the initial parameters of the RBF network through particle swarm optimization, identifies
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Kumar, Devineni Gireesh, Aman Ganesh, Nagineni Venkata Sireesha, et al. "Performance Analysis of an Optimized Asymmetric Multilevel Inverter on Grid Connected SPV System." Energies 15, no. 20 (2022): 7665. http://dx.doi.org/10.3390/en15207665.

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The purpose of this research is to develop an efficient single-phase grid-connected PV system using a better performing asymmetrical multilevel inverter (AMI). Circuit component reduction, harmonic reduction, and grid integration are critical criteria for better inverter efficiency. The proposed inverter’s optimized topology requires seven unidirectional switches, three symmetric dc sources, and three diodes to produce an asymmetric fifteen level output; whereas, the same configuration will generate 7, 11, and 15-level output with an appropriate choice of dc source magnitudes. It is possible t
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Dissertations / Theses on the topic "Swarm nano grid system"

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Reichman, Aaron Michael. "Development of nano-characterization system for polymer film measurement and single BGA solder joint forming experiment." Diss., Online access via UMI:, 2007.

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Mustafa, Mehran. "OPTIMAL SIZING OF GRID CONNECTED MICROGRID IN RURAL AREA OF PAKISTAN WITH WIND TURBINES AND ENERGY STORAGE SYSTEM USING PARTICLE SWARM OPTIMIZATION." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2132.

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Pakistan has been riddled with energy shortage crisis. Long hours of load shedding have caused major economic setbacks in urban areas and rural areas do not even make the cut. Some rural parts, which are connected to the grid, suffer major load shedding and so economic growth is minimal. Most energy is directed towards industrial demand; hence the domestic demand suffers and causes long hours of load shedding. To aid this supply-demand gap, microgrids can be helpful in relieving some of the domestic load on the grid. A microgrid may be more economical only as a support for the main grid in an
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Zhang, Wei. "Energy Management System in DC Future Home." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56489.

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Making electricity grids smarter and facilitating them with integration of renewable energy sources (RES) and energy storage are fairly accepted as the necessary steps to achieve a sustainable and secure power industry. To enable Net-zero energy and optimize power management for future homes or buildings, DC electric distribution systems (DC Nano-grid) find feasibility and simplicity for integrating renewable energy sources and energy storage. However, integrating the sources and loads in a simple, robust and smart way is still challenging. High voltage lithium-ion battery should be seri
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Sandoval, Marcelo. "Electric vehicle-intelligent energy management system for frequency regulation application using a distributed, prosumer-based grid control architecture." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47708.

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The world faces the unprecedented challenge of the need change to a new energy era. The introduction of distributed renewable energy and storage together with transportation electrification and deployment of electric and hybrid vehicles, allows traditional consumers to not only consume, but also to produce, or store energy. The active participation of these so called "prosumers", and their interactions may have a significant impact on the operations of the emerging smart grid. However, how these capabilities should be integrated with the overall system operation is unclear. Intelligent energ
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Rana, Rohit Singh. "Multi-Dimensional Energy Consumption Scheduling for Event Based Demand Response." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39854.

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The global energy demand in residential sector is increasing steadily every year due to advancement in technologies. The present electricity grid is designed to support peak demand rather than Peak to Average (PAR) demand. Utilities are investigating the residential Demand Response (DR) to lower the (PAR) ratio and eliminate the need of building new power infrastructure. This requires Home Energy Management System (HEMS) at grid edge to manage and control the energy demand. In this thesis, we presented an MDPSO based DR enabled HEMS model for optimal allocation of energy resources in a smart d
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Cheng, Yu-Shan, and 鄭于珊. "Computational Intelligence in Smart Grid System: Application Cases of Particle Swarm Optimization in Renewable Energy System." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/39zg8h.

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博士<br>國立臺灣科技大學<br>電機工程系<br>105<br>The transition from mitigating fossil fuel to clean and sustainable energy sources, such as solar power and wind power, involves the entire upgrade and the fundamental reengineering for current electricity grids. Smart grid is introduced under the growing consciousness of this grid evolution. Many challenges arise in terms of technology, economy and regulation when developing smart grid. Considering a high level of uncertainty and dynamism of smart grid system, computational intelligence is expected to solve problems in smart grid technology which are full of
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Andersson, Oskar. "Savonius wind turbine innovation integrated in a constructed nano grid system." Thesis, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387540.

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A nanogrid system for supplying neutrino detectors on Antarctica with electricity is designed and built. The nanogrid system could later on be implemented in various configurations where suppling electricity to neutrino detectors is one area of use. The energy system that is acting on site in Antarctica is based around solar panels to provide power to the measuring equipment. However, providing electricity in such a way is not optimal due to its failure in delivering electricity at times. A nanogrid that can stand the demands of constant energy supply to the measurement station are therefore c
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"Adaptive Operation Decisions for a System of Smart Buildings." Doctoral diss., 2012. http://hdl.handle.net/2286/R.I.15032.

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abstract: Buildings (approximately half commercial and half residential) consume over 70% of the electricity among all the consumption units in the United States. Buildings are also responsible for approximately 40% of CO2 emissions, which is more than any other industry sectors. As a result, the initiative smart building which aims to not only manage electrical consumption in an efficient way but also reduce the damaging effect of greenhouse gases on the environment has been launched. Another important technology being promoted by government agencies is the smart grid which manages energy usa
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Chellal, Majd. "Experimental evaluation of Kalman filter based MPPT in grid-connected PV system." Master's thesis, 2022. http://hdl.handle.net/10198/25144.

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Mestrado de dupla diplomação com a Ecóle Supérieur en Sciences Apliquées<br>Photovoltaic (PV) energy is becoming an important alternative energy source, since it is abundant in nature, non-polluting and requires low maintenance. However, it suffers from low energy conversion efficiency, which can be even lower if the photovoltaic generator does not operate around a so-called Maximum Power Point (MPP). Tracking this point, which changes its location depending on weather conditions, is a very important step in the design of a photovoltaic system. Several techniques have been investigated in
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Books on the topic "Swarm nano grid system"

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LAND.TECHNIK 2022. VDI Verlag, 2022. http://dx.doi.org/10.51202/9783181023952.

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INHALT Electrical Agricultural Machines Structuring of electrified agricultural machine systems – Diversity of solutions and analysis methods .....1 GridCON2 – Development of a Cable Drum Vehicle Concept to Power 1MW Fully Electric Agricultural Swarms ..... 11 GridCON Swarm – Development of a Grid Connected Fully Autonomous Agricultural Production System ..... 17 Fully electric Tractor with 1000 kWh battery capacity ..... 23 Soil and Modelling The Integration of a Scientific Soil Compaction Risk Indicator (TERRANIMO) into a Holistic Tractor and Implement Optimization System (CEMOS) .....29 Ide
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Book chapters on the topic "Swarm nano grid system"

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Rajalingam, S., and V. Malathi. "Augmented Current Controller with SHC Technique for Grid Current Compensation in the Distribution System." In Swarm, Evolutionary, and Memetic Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_29.

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Biswal, Saubhagya Ranjan, and Gauri Shankar. "Optimal Capacitor Placement in Radial Distribution System Using Chicken Swarm Optimization Algorithm." In Advances in Smart Grid Automation and Industry 4.0. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7675-1_11.

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Tudu, Bhimsen, Sibsankar Majumder, Kamal K. Mandal, and Niladri Chakraborty. "Comparative Performance Study of Genetic Algorithm and Particle Swarm Optimization Applied on Off-grid Renewable Hybrid Energy System." In Swarm, Evolutionary, and Memetic Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27172-4_19.

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Ahmed, Aram M., Bryar A. Hassan, Tarik A. Rashid, et al. "GMOCSO: Multi-objective Cat Swarm Optimization Algorithm based on a Grid System." In Multi-objective Optimization Techniques. CRC Press, 2025. https://doi.org/10.1201/9781003601555-4.

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Bharti and Akhil Gupta. "A Work on Grid Connected Solar Photovoltaic System Using Particle Swarm Optimization Technique." In Advances in Communication, Devices and Networking. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7901-6_25.

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Kotwal, Abhijeet Vijay, Divya Rishi Shrivastava, and Priyank Singh Hada. "Reactive Power Control of Stand-Alone Hybrid Power System Using Genetic Algorithm and Particle Swarm Optimization." In Advances in Smart Grid Automation and Industry 4.0. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7675-1_1.

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Avhad, Akshay, Casper Schou, and Ole Madsen. "Topology Planning in Swarm Production System: Framework and Optimization." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_13.

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AbstractA Swarm Production System (SPS) aims to be an agile and resilient Reconfigurable manufacturing system (RMS) paradigm that incorporates mobile workstations and transport robots on the factory production floor. This paper primarily focuses on SPS’s initial but recurring planning stage termed topology planning, which dynamically changes throughout the production runtime with spatially adaptive workstations and transporters handled exclusively by a Topology Manager (TM). TM is essential to multi-variant production with the optimal positioning of the workstations and provides a topology that optimizes the traffic flow for the product carrier robots. TM is a bridge to enable SPS to integrate with general planning and scheduling systems like ERP and MES and is comprised of a Topology Planner (TP) that evaluates the ideal configuration of on factory floor for a batch of product mix and a Reconfiguration Decision System (RDS) that decides on applying the estimated new topology during the batch changeover. The paper proposes a framework for the TM to identify its essential functionalities, responsibilities and working principle in a swarm production system. The paper also describes a grid-based heuristic approach applicable to two-dimensional spatial problems to reduce the complexity of the NP-hard problem. The paper focuses on a framework to estimate a reconfigurable shop floor layout with a Force-directed Graph-theory algorithm. A stochastic statistical model evaluates the performance of the optimal topology for throughput and makespan.
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Sondhiya, Vandana, and Kaustubh Dwivedi. "Simulation and Modelling of Nano Grid System Using Solar PV and Hydro Power Plant." In Springer Proceedings in Energy. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4492-6_20.

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Acharya, D. S., S. K. Mishra, B. Sarkar, and D. Bharti. "Fractional Order Particle Swarm Optimization to Optimize a Fractional Order PID Controller for a Vertical Take-Off and Landing System." In Advances in Smart Grid Automation and Industry 4.0. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7675-1_14.

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Hassan, Syed, and Jungwon Yoon. "Hybrid Potential Field Swarm Optimization Based Novel Targeted Drug Delivery System Using Drug Loaded Nano Carriers." In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33515-0_34.

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Conference papers on the topic "Swarm nano grid system"

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Zeb, Haris, Waqas Ahmed, Ammar Arshad, Hadeed Ahmed Sher, and Attique-Ur-Rehman. "MPPT-Enhanced Nano Grids with Swarm DC Grid Framework for Rural Electrification." In 2025 International Conference on Emerging Power Technologies (ICEPT). IEEE, 2025. https://doi.org/10.1109/icept66058.2025.11036245.

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Zhang, Guangqiang, and Guozhi Bao. "Capacity Optimization of Marine Power Generation System Based on Adaptive Particle Swarm Algorithm." In 2024 5th International Conference on Smart Grid and Energy Engineering (SGEE). IEEE, 2024. https://doi.org/10.1109/sgee64306.2024.10865858.

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Yang, Xiaonan, Han Gu, Quan Sun, et al. "Optimized Scheduling of Heating System Electrical Load Using an Improved Particle Swarm Optimization Algorithm Considering Power Quality." In 2025 4th International Conference on Smart Grid and Green Energy (ICSGGE). IEEE, 2025. https://doi.org/10.1109/icsgge64667.2025.10985178.

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Shi, Zhuang, Shaoxin Li, Lei Ding, Manman Ren, Zinan Li, and Nannan Zhou. "Dynamic Modeling of pH in a Dual-Tower Desulfurization System Based on an Improved Particle Swarm Optimization Algorithm." In 2025 2nd International Conference on Smart Grid and Artificial Intelligence (SGAI). IEEE, 2025. https://doi.org/10.1109/sgai64825.2025.11009391.

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Ghosh, Debadyoti, Soupama Maiti, Rupayan Pal, Maloy Deb Roy, and Bratyabandhu Bbattacharyya. "Design and Cost Analysis of Solar UPS Based 3kWp Off-Grid Solar System with Generation of 12–15 Units/day for 2.5kW Household Load." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959485.

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Bharti, Shivam, and Anmol Ratna Saxena. "DC Nano-Grid with Power Management System." In 2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3). IEEE, 2023. http://dx.doi.org/10.1109/ic2e357697.2023.10262417.

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Ding, Yiyuan, Zhijun Wang, Shichao Liu, and Xiaoyu Wang. "Energy Management Strategy of PV Grid-Connected Household Nano-Grid System." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973404.

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Welch, Richard, and Ganesh K. Venayagamoorthy. "A Fuzzy-PSO Based Controller for a Grid Independent Photovoltaic System." In 2007 IEEE Swarm Intelligence Symposium. IEEE, 2007. http://dx.doi.org/10.1109/sis.2007.367942.

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Yan, W. H., T. S. Bi, S. F. Huang, A. C. Xue, and Q. X. Yang. "Identification of backbone-grid in power grid based on binary particle swarm optimization." In 2010 International Conference on Power System Technology - (POWERCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/powercon.2010.5666532.

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Li, Zhijie, Xiangdong Liu, Xiaodong Duan, and Jian Yun. "Grid resource allocation based on particle swarm optimization." In 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS). IEEE, 2009. http://dx.doi.org/10.1109/peits.2009.5406903.

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