Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program
A distributed power generation system uses an intermittent power source that provides low power. Furthermore, it cannot be centrally controlled from the perspective of the system operator. The photovoltaic (PV) power generation system is installed with an energy storage system (ESS) to increase the...
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| Format: | Article |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8438454/ |
| _version_ | 1819162260955725824 |
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| author | Hyun Gu Lee Gyu-Gwang Kim Byeong Gwan Bhang David Kwangsoon Kim Neungsoo Park Hyung-Keun Ahn |
| author_facet | Hyun Gu Lee Gyu-Gwang Kim Byeong Gwan Bhang David Kwangsoon Kim Neungsoo Park Hyung-Keun Ahn |
| author_sort | Hyun Gu Lee |
| collection | DOAJ |
| description | A distributed power generation system uses an intermittent power source that provides low power. Furthermore, it cannot be centrally controlled from the perspective of the system operator. The photovoltaic (PV) power generation system is installed with an energy storage system (ESS) to increase the power source quality compared to that possible with PV-only power generation. In this paper, an estimation algorithm is proposed for improving battery capacity to construct a suitable and economical system. In addition, an optimal algorithm is proposed that considers different factors. For example, the cost of constructing the battery and the amount of electric power sales reflecting the renewable energy certificate weighting factor of 5.0 are based on the cost of the battery construction, depth of battery discharge, charge/discharge cycle of the battery, cost of the energy conversion device, operation maintenance cost, and charge cycle of the battery. The optimized battery capacity is calculated by considering the correlation between PV power and meteorological parameters, construction cost, and the benefit of the amount of electricity sold, with an error rate of 5.75%. |
| first_indexed | 2024-12-22T17:25:25Z |
| format | Article |
| id | doaj.art-aaa454ebc13c4d72b2e40b0ff1223811 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T17:25:25Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aaa454ebc13c4d72b2e40b0ff12238112022-12-21T18:18:44ZengIEEEIEEE Access2169-35362018-01-016458994590610.1109/ACCESS.2018.28657448438454Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS ProgramHyun Gu Lee0Gyu-Gwang Kim1Byeong Gwan Bhang2David Kwangsoon Kim3Neungsoo Park4Hyung-Keun Ahn5https://orcid.org/0000-0001-9589-9458Department of Electrical Engineering, Konkuk University, Seoul, South KoreaDepartment of Electrical Engineering, Konkuk University, Seoul, South KoreaDepartment of Electrical Engineering, Konkuk University, Seoul, South KoreaDepartment of Electrical Engineering, Konkuk University, Seoul, South KoreaDepartment of Computer Science and Engineering, Konkuk University, Seoul, South KoreaDepartment of Electrical Engineering, Konkuk University, Seoul, South KoreaA distributed power generation system uses an intermittent power source that provides low power. Furthermore, it cannot be centrally controlled from the perspective of the system operator. The photovoltaic (PV) power generation system is installed with an energy storage system (ESS) to increase the power source quality compared to that possible with PV-only power generation. In this paper, an estimation algorithm is proposed for improving battery capacity to construct a suitable and economical system. In addition, an optimal algorithm is proposed that considers different factors. For example, the cost of constructing the battery and the amount of electric power sales reflecting the renewable energy certificate weighting factor of 5.0 are based on the cost of the battery construction, depth of battery discharge, charge/discharge cycle of the battery, cost of the energy conversion device, operation maintenance cost, and charge cycle of the battery. The optimized battery capacity is calculated by considering the correlation between PV power and meteorological parameters, construction cost, and the benefit of the amount of electricity sold, with an error rate of 5.75%.https://ieeexplore.ieee.org/document/8438454/Design algorithmenergy storage system (ESS)optimum ESS capacityrenewable energy certificate (REC) weighting factorrenewable portfolio standard (RPS) |
| spellingShingle | Hyun Gu Lee Gyu-Gwang Kim Byeong Gwan Bhang David Kwangsoon Kim Neungsoo Park Hyung-Keun Ahn Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program IEEE Access Design algorithm energy storage system (ESS) optimum ESS capacity renewable energy certificate (REC) weighting factor renewable portfolio standard (RPS) |
| title | Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program |
| title_full | Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program |
| title_fullStr | Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program |
| title_full_unstemmed | Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program |
| title_short | Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program |
| title_sort | design algorithm for optimum capacity of ess connected with pvs under the rps program |
| topic | Design algorithm energy storage system (ESS) optimum ESS capacity renewable energy certificate (REC) weighting factor renewable portfolio standard (RPS) |
| url | https://ieeexplore.ieee.org/document/8438454/ |
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