A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid
The increasing penetration of Distributed Generators (D.G.) into the existing power system has brought some real challenges regarding the transient response of electrical systems. The injection of D.G.s and abrupt load changes may cause massive power, current, and voltage overshoots/undershoots, whi...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/1/348 |
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| author | Ghulam Abbas Aqeel Ahmed Bhutto Touqeer Ahmed Jumani Sohrab Mirsaeidi Mohsin Ali Tunio Hammad Alnuman Ahmed Alshahir |
| author_facet | Ghulam Abbas Aqeel Ahmed Bhutto Touqeer Ahmed Jumani Sohrab Mirsaeidi Mohsin Ali Tunio Hammad Alnuman Ahmed Alshahir |
| author_sort | Ghulam Abbas |
| collection | DOAJ |
| description | The increasing penetration of Distributed Generators (D.G.) into the existing power system has brought some real challenges regarding the transient response of electrical systems. The injection of D.G.s and abrupt load changes may cause massive power, current, and voltage overshoots/undershoots, which consequently affects the equilibrium of the existing power system and deteriorate the performance of the connected electrical appliances. A robust and intelligent control strategy is of utmost importance to cope with these issues and enhance the penetration level of D.G.s into the existing power system. This paper presents a Modified Particle Swarm Optimization (MPSO) algorithm-based intelligent controller for attaining a desired power-sharing ratio between the M.G. and the main grid with an optimal transient response in a grid-tied Microgrid (M.G.) system. The proposed MPSO algorithm includes an additional parameter named best neighbor particles (rbest) in the velocity updating equation to convey additional information to every individual particle about all its neighbor particles, consequently leading to the increased exploration capability of the algorithm. The MPSO algorithm optimizes P.I. parameters for transient and steady-state response improvement of the studied M.G. system. The main dynamic response evaluation parameters are the overshoot and settling time for active and reactive power during the D.G. connection and load change. Furthermore, the performance of the proposed controller is compared with the PI-PSO-based MG controller, which validates the effectiveness of the proposed M.G. control scheme in maintaining the required active and reactive power under different operating conditions with minimum possible overshoot and settling time. |
| first_indexed | 2024-03-11T10:03:22Z |
| format | Article |
| id | doaj.art-dda10d1357be40c1b24eb550a0f5835d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T10:03:22Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-dda10d1357be40c1b24eb550a0f5835d2023-11-16T15:18:00ZengMDPI AGEnergies1996-10732022-12-0116134810.3390/en16010348A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. MicrogridGhulam Abbas0Aqeel Ahmed Bhutto1Touqeer Ahmed Jumani2Sohrab Mirsaeidi3Mohsin Ali Tunio4Hammad Alnuman5Ahmed Alshahir6School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaDepartment of Mechanical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mirs 66020, PakistanDepartment of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mirs 66020, PakistanSchool of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mirs 66020, PakistanDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi ArabiaThe increasing penetration of Distributed Generators (D.G.) into the existing power system has brought some real challenges regarding the transient response of electrical systems. The injection of D.G.s and abrupt load changes may cause massive power, current, and voltage overshoots/undershoots, which consequently affects the equilibrium of the existing power system and deteriorate the performance of the connected electrical appliances. A robust and intelligent control strategy is of utmost importance to cope with these issues and enhance the penetration level of D.G.s into the existing power system. This paper presents a Modified Particle Swarm Optimization (MPSO) algorithm-based intelligent controller for attaining a desired power-sharing ratio between the M.G. and the main grid with an optimal transient response in a grid-tied Microgrid (M.G.) system. The proposed MPSO algorithm includes an additional parameter named best neighbor particles (rbest) in the velocity updating equation to convey additional information to every individual particle about all its neighbor particles, consequently leading to the increased exploration capability of the algorithm. The MPSO algorithm optimizes P.I. parameters for transient and steady-state response improvement of the studied M.G. system. The main dynamic response evaluation parameters are the overshoot and settling time for active and reactive power during the D.G. connection and load change. Furthermore, the performance of the proposed controller is compared with the PI-PSO-based MG controller, which validates the effectiveness of the proposed M.G. control scheme in maintaining the required active and reactive power under different operating conditions with minimum possible overshoot and settling time.https://www.mdpi.com/1996-1073/16/1/348modified PSOgrid-tied microgridoptimizationtransient response enhancementoptimal power sharing controller |
| spellingShingle | Ghulam Abbas Aqeel Ahmed Bhutto Touqeer Ahmed Jumani Sohrab Mirsaeidi Mohsin Ali Tunio Hammad Alnuman Ahmed Alshahir A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid Energies modified PSO grid-tied microgrid optimization transient response enhancement optimal power sharing controller |
| title | A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid |
| title_full | A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid |
| title_fullStr | A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid |
| title_full_unstemmed | A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid |
| title_short | A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid |
| title_sort | modified particle swarm optimization algorithm for power sharing and transient response improvement of a grid tied solar pv based a c microgrid |
| topic | modified PSO grid-tied microgrid optimization transient response enhancement optimal power sharing controller |
| url | https://www.mdpi.com/1996-1073/16/1/348 |
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