Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics
The problems associated with the deployment of intermittent, unpredictable and uncontrollable solar photovoltaics (PV) can be feasibly solved with battery energy storage systems (BESS), particularly in terms of optimizing the available capacity, increasing reliability and reducing system losses. Con...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/1/140 |
| _version_ | 1828394558272045056 |
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| author | Ahmed Alzahrani Hussain Alharthi Muhammad Khalid |
| author_facet | Ahmed Alzahrani Hussain Alharthi Muhammad Khalid |
| author_sort | Ahmed Alzahrani |
| collection | DOAJ |
| description | The problems associated with the deployment of intermittent, unpredictable and uncontrollable solar photovoltaics (PV) can be feasibly solved with battery energy storage systems (BESS), particularly in terms of optimizing the available capacity, increasing reliability and reducing system losses. Consequently, the degree of importance of BESS increases in proportion to the level of PV penetration. Nevertheless, the respective high cost of BESS imposes a huge concern and the need to establish a techno-economic solution. In this paper, we investigate the system losses and power quality issues associated with the high deployment of PV in a grid network and hence formulate BESS capacity optimization and placement methodology based on a genetic algorithm. The concept of the proposed methodology has been tested and validated on a standard IEEE 33 bus system. A brief stepwise analysis is presented to demonstrate the effectiveness and robustness of the proposed methodology in reducing the incremental system losses experienced with increased PV penetration. Furthermore, based on the proposed optimization objectives, a comparative study has also been performed to quantify the impact and effectiveness of aggregated and distributed placement of BESS. The results obtained exhibit a substantial reduction in system losses, particularly in the case of distributed BESS placement. |
| first_indexed | 2024-12-10T07:56:23Z |
| format | Article |
| id | doaj.art-a6fa947e59d54a78ace90b727fcc63e6 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T07:56:23Z |
| publishDate | 2019-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a6fa947e59d54a78ace90b727fcc63e62022-12-22T01:56:53ZengMDPI AGEnergies1996-10732019-12-0113114010.3390/en13010140en13010140Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of PhotovoltaicsAhmed Alzahrani0Hussain Alharthi1Muhammad Khalid2Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaThe problems associated with the deployment of intermittent, unpredictable and uncontrollable solar photovoltaics (PV) can be feasibly solved with battery energy storage systems (BESS), particularly in terms of optimizing the available capacity, increasing reliability and reducing system losses. Consequently, the degree of importance of BESS increases in proportion to the level of PV penetration. Nevertheless, the respective high cost of BESS imposes a huge concern and the need to establish a techno-economic solution. In this paper, we investigate the system losses and power quality issues associated with the high deployment of PV in a grid network and hence formulate BESS capacity optimization and placement methodology based on a genetic algorithm. The concept of the proposed methodology has been tested and validated on a standard IEEE 33 bus system. A brief stepwise analysis is presented to demonstrate the effectiveness and robustness of the proposed methodology in reducing the incremental system losses experienced with increased PV penetration. Furthermore, based on the proposed optimization objectives, a comparative study has also been performed to quantify the impact and effectiveness of aggregated and distributed placement of BESS. The results obtained exhibit a substantial reduction in system losses, particularly in the case of distributed BESS placement.https://www.mdpi.com/1996-1073/13/1/140battery energy storage systemdistribution networkrenewable energy sources |
| spellingShingle | Ahmed Alzahrani Hussain Alharthi Muhammad Khalid Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics Energies battery energy storage system distribution network renewable energy sources |
| title | Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics |
| title_full | Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics |
| title_fullStr | Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics |
| title_full_unstemmed | Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics |
| title_short | Minimization of Power Losses through Optimal Battery Placement in a Distributed Network with High Penetration of Photovoltaics |
| title_sort | minimization of power losses through optimal battery placement in a distributed network with high penetration of photovoltaics |
| topic | battery energy storage system distribution network renewable energy sources |
| url | https://www.mdpi.com/1996-1073/13/1/140 |
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