Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system
Renewable Energy Source (RES) based Distributed Generation (DG) like Photovoltaic (PV) is widely integrated into the distribution network, particularly for residential. With proper planning, the installation of optimal PV in the network is capable of minimizing the dependency on the power grid gener...
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2023
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| Online Access: | http://eprints.utm.my/105046/1/MadihahMdRasid2023_CostEffectiveEnergyManagementSystems.pdf |
| _version_ | 1796867777933344768 |
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| author | Shamsuddin, Noor Ilham Md. Rasid, Madihah Anuar, Mohd. Shafiq |
| author_facet | Shamsuddin, Noor Ilham Md. Rasid, Madihah Anuar, Mohd. Shafiq |
| author_sort | Shamsuddin, Noor Ilham |
| collection | ePrints |
| description | Renewable Energy Source (RES) based Distributed Generation (DG) like Photovoltaic (PV) is widely integrated into the distribution network, particularly for residential. With proper planning, the installation of optimal PV in the network is capable of minimizing the dependency on the power grid generation. However, the optimum use of solar energy has been limited by the weather and the load variation. At the particular time, the generated PV output is not fully utilized during the minimum load. The excessive generation of PV power occurs and causes an increase in the cost of electricity consumption. Therefore, the purpose of this paper is to optimize the PV size for the grid-connected system considering the Battery Energy Storage System (BESS) and the proper Energy Management System (EMS) Strategy in order to reduce the grid power consumption. BESS is introduced to store the excess PV power generated during peak hours, while the cost-effective EMS strategy is proposed to ensure the RES is fully employed. The number of PV panels is optimized using Particle Swarm Optimization (PSO) technique. The implementation of PSO in optimising PV size can reduce the number of PV panels by 21% compared to the conventional method. |
| first_indexed | 2024-04-09T03:45:58Z |
| format | Article |
| id | utm.eprints-105046 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-04-09T03:45:58Z |
| publishDate | 2023 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-1050462024-04-02T06:39:40Z http://eprints.utm.my/105046/ Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system Shamsuddin, Noor Ilham Md. Rasid, Madihah Anuar, Mohd. Shafiq TK Electrical engineering. Electronics Nuclear engineering Renewable Energy Source (RES) based Distributed Generation (DG) like Photovoltaic (PV) is widely integrated into the distribution network, particularly for residential. With proper planning, the installation of optimal PV in the network is capable of minimizing the dependency on the power grid generation. However, the optimum use of solar energy has been limited by the weather and the load variation. At the particular time, the generated PV output is not fully utilized during the minimum load. The excessive generation of PV power occurs and causes an increase in the cost of electricity consumption. Therefore, the purpose of this paper is to optimize the PV size for the grid-connected system considering the Battery Energy Storage System (BESS) and the proper Energy Management System (EMS) Strategy in order to reduce the grid power consumption. BESS is introduced to store the excess PV power generated during peak hours, while the cost-effective EMS strategy is proposed to ensure the RES is fully employed. The number of PV panels is optimized using Particle Swarm Optimization (PSO) technique. The implementation of PSO in optimising PV size can reduce the number of PV panels by 21% compared to the conventional method. Penerbit UTM Press 2023-01 Article PeerReviewed application/pdf en http://eprints.utm.my/105046/1/MadihahMdRasid2023_CostEffectiveEnergyManagementSystems.pdf Shamsuddin, Noor Ilham and Md. Rasid, Madihah and Anuar, Mohd. Shafiq (2023) Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system. Jurnal Teknologi, 85 (1). pp. 115-124. ISSN 0127-9696 http://dx.doi.org/10.11113/jurnalteknologi.v85.17688 DOI:10.11113/jurnalteknologi.v85.17688 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Shamsuddin, Noor Ilham Md. Rasid, Madihah Anuar, Mohd. Shafiq Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system |
| title | Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system |
| title_full | Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system |
| title_fullStr | Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system |
| title_full_unstemmed | Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system |
| title_short | Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system |
| title_sort | cost effective energy management systems strategy in optimization of photovoltaic for grid connected system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/105046/1/MadihahMdRasid2023_CostEffectiveEnergyManagementSystems.pdf |
| work_keys_str_mv | AT shamsuddinnoorilham costeffectiveenergymanagementsystemsstrategyinoptimizationofphotovoltaicforgridconnectedsystem AT mdrasidmadihah costeffectiveenergymanagementsystemsstrategyinoptimizationofphotovoltaicforgridconnectedsystem AT anuarmohdshafiq costeffectiveenergymanagementsystemsstrategyinoptimizationofphotovoltaicforgridconnectedsystem |