Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm
Despite the vast benefits of integrating renewable energy sources (RES) with the utility grid, they pose stability and power quality problems when interconnected with the existing power system. This is due to the production of high voltages and current overshoots/undershoots during their injection o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019
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| Online Access: | http://eprints.utm.my/88729/1/TouqeerAhmedJumani2019_OptimalPowerFlowControllerforGrid.pdf |
| _version_ | 1796864687918284800 |
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| author | Jumani, Touqeer Ahmed Mustafa, Mohd. Wazir Md. Rasid, Madihah Mirjat, Nayyar Hussain Baloch, Mazhar Hussain Salisu, Sani |
| author_facet | Jumani, Touqeer Ahmed Mustafa, Mohd. Wazir Md. Rasid, Madihah Mirjat, Nayyar Hussain Baloch, Mazhar Hussain Salisu, Sani |
| author_sort | Jumani, Touqeer Ahmed |
| collection | ePrints |
| description | Despite the vast benefits of integrating renewable energy sources (RES) with the utility grid, they pose stability and power quality problems when interconnected with the existing power system. This is due to the production of high voltages and current overshoots/undershoots during their injection or disconnection into/from the power system. In addition, the high harmonic distortion in the output voltage and current waveforms may also be observed due to the excessive inverter switching frequencies used for controlling distributed generator’s (DG) power output. Hence, the development of a robust and intelligent controller for the grid-connected microgrid (MG) is the need of the hour. As such, this paper aims to develop a robust and intelligent optimal power flow controller using a grasshopper optimization algorithm (GOA) to optimize the dynamic response and power quality of the grid-connected MG while sharing the desired amount of power with the grid. To validate the effectiveness of proposed GOA-based controller, its performance in achieving the desired power sharing ratio with optimal dynamic response and power quality is compared with that of its precedent particle swarm optimization (PSO)-based controller under MG injection and abrupt load change conditions. The proposed controller provides tremendous system’s dynamic response with minimum current harmonic distortion even at higher DG penetration levels. |
| first_indexed | 2024-03-05T20:45:36Z |
| format | Article |
| id | utm.eprints-88729 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:45:36Z |
| publishDate | 2019 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | utm.eprints-887292020-12-29T04:17:15Z http://eprints.utm.my/88729/ Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm Jumani, Touqeer Ahmed Mustafa, Mohd. Wazir Md. Rasid, Madihah Mirjat, Nayyar Hussain Baloch, Mazhar Hussain Salisu, Sani TK Electrical engineering. Electronics Nuclear engineering Despite the vast benefits of integrating renewable energy sources (RES) with the utility grid, they pose stability and power quality problems when interconnected with the existing power system. This is due to the production of high voltages and current overshoots/undershoots during their injection or disconnection into/from the power system. In addition, the high harmonic distortion in the output voltage and current waveforms may also be observed due to the excessive inverter switching frequencies used for controlling distributed generator’s (DG) power output. Hence, the development of a robust and intelligent controller for the grid-connected microgrid (MG) is the need of the hour. As such, this paper aims to develop a robust and intelligent optimal power flow controller using a grasshopper optimization algorithm (GOA) to optimize the dynamic response and power quality of the grid-connected MG while sharing the desired amount of power with the grid. To validate the effectiveness of proposed GOA-based controller, its performance in achieving the desired power sharing ratio with optimal dynamic response and power quality is compared with that of its precedent particle swarm optimization (PSO)-based controller under MG injection and abrupt load change conditions. The proposed controller provides tremendous system’s dynamic response with minimum current harmonic distortion even at higher DG penetration levels. MDPI AG 2019-01-01 Article PeerReviewed application/pdf en http://eprints.utm.my/88729/1/TouqeerAhmedJumani2019_OptimalPowerFlowControllerforGrid.pdf Jumani, Touqeer Ahmed and Mustafa, Mohd. Wazir and Md. Rasid, Madihah and Mirjat, Nayyar Hussain and Baloch, Mazhar Hussain and Salisu, Sani (2019) Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm. Electronics (Switzerland), 8 (1). pp. 1-21. ISSN 2079-9292 http://dx.doi.org/10.3390/electronics8010111 DOI:10.3390/electronics8010111 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Jumani, Touqeer Ahmed Mustafa, Mohd. Wazir Md. Rasid, Madihah Mirjat, Nayyar Hussain Baloch, Mazhar Hussain Salisu, Sani Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm |
| title | Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm |
| title_full | Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm |
| title_fullStr | Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm |
| title_full_unstemmed | Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm |
| title_short | Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm |
| title_sort | optimal power flow controller for grid connected microgrids using grasshopper optimization algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/88729/1/TouqeerAhmedJumani2019_OptimalPowerFlowControllerforGrid.pdf |
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