Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving
Computer aided software engineering; Controllers; Electromagnetic wave emission; Emission control; Energy conservation; Energy management; Energy utilization; Optimization; Particle swarm optimization (PSO); Power plants; Renewable energy resources; Binary particle swarm optimization; Carbon reducti...
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2023
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my.uniten.dspace-249672023-05-29T15:29:36Z Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving Hannan M.A. Abdolrasol M.G.M. Faisal M. Ker P.J. Begum R.A. Hussain A. 7103014445 35796848700 57215018777 37461740800 14007780000 57208481391 Computer aided software engineering; Controllers; Electromagnetic wave emission; Emission control; Energy conservation; Energy management; Energy utilization; Optimization; Particle swarm optimization (PSO); Power plants; Renewable energy resources; Binary particle swarm optimization; Carbon reduction; Micro grid; Reducing energy consumption; Scheduling controllers; Sustainable energy management; Virtual power plants; Virtual power plants (VPP); Scheduling This paper introduces a novel optimal schedule controller to manage renewable energy resources (RESs) in virtual power plant (VPP) using binary particle swarm optimization (BPSO) algorithm. It is crucial to minimize the costs giving priority for sustainable resources use instead of purchasing from the national grid. The effectiveness of the proposed approach is examined by the IEEE 14 bus system containing microgrids (MGs) integrated with RESs in the form of VPP. Real load demand recorded is used to model and simulate the test case studies of the system for 24 h in Perlis, Malaysia. Moreover, weather data collected from the Malaysian Meteorological Department such as wind, solar, fuel, and battery status data are used in the BPSO to find the best ON and OFF schedules. The results found that the developed BPSO algorithm is robust in reducing energy consumption and emissions of the VPP. This study contributes to the development of an optimization algorithm for an optimal scheduling controller of MG integrated VPP in order to reduce carbon emissions and manage sustainable energy. Finally, a comparative analysis of the optimal algorithms over conventional justifies the use of RESs integration and validates the developed BPSO for sustainable energy management and emissions reduction. � 2013 IEEE. Final 2023-05-29T07:29:36Z 2023-05-29T07:29:36Z 2019 Article 10.1109/ACCESS.2019.2933010 2-s2.0-85071102319 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071102319&doi=10.1109%2fACCESS.2019.2933010&partnerID=40&md5=30f083f1c95b3eed49e3df2c4e8bf579 https://irepository.uniten.edu.my/handle/123456789/24967 7 8787762 107937 107951 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
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Computer aided software engineering; Controllers; Electromagnetic wave emission; Emission control; Energy conservation; Energy management; Energy utilization; Optimization; Particle swarm optimization (PSO); Power plants; Renewable energy resources; Binary particle swarm optimization; Carbon reduction; Micro grid; Reducing energy consumption; Scheduling controllers; Sustainable energy management; Virtual power plants; Virtual power plants (VPP); Scheduling |
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7103014445 |
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7103014445 Hannan M.A. Abdolrasol M.G.M. Faisal M. Ker P.J. Begum R.A. Hussain A. |
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Article |
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Hannan M.A. Abdolrasol M.G.M. Faisal M. Ker P.J. Begum R.A. Hussain A. |
| spellingShingle |
Hannan M.A. Abdolrasol M.G.M. Faisal M. Ker P.J. Begum R.A. Hussain A. Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving |
| author_sort |
Hannan M.A. |
| title |
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving |
| title_short |
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving |
| title_full |
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving |
| title_fullStr |
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving |
| title_full_unstemmed |
Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving |
| title_sort |
binary particle swarm optimization for scheduling mg integrated virtual power plant toward energy saving |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
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1806424419590995968 |