Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units
An optimal capacity allocation of large-scale wind-photovoltaic- (PV-) battery units was proposed. First, an output power model was established according to meteorological conditions. Then, a wind-PV-battery unit was connected to the power grid as a power-generation unit with a rated capacity under...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/539414 |
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| author | Kehe Wu Huan Zhou Jizhen Liu |
| author_facet | Kehe Wu Huan Zhou Jizhen Liu |
| author_sort | Kehe Wu |
| collection | DOAJ |
| description | An optimal capacity allocation of large-scale wind-photovoltaic- (PV-) battery units was proposed. First, an output power model was established according to meteorological conditions. Then, a wind-PV-battery unit was connected to the power grid as a power-generation unit with a rated capacity under a fixed coordinated operation strategy. Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost (NPC) was calculated through hybrid iteration/adaptive hybrid genetic algorithm (HIAGA). The optimal capacity ratio among wind generator, PV array, and battery device also was calculated simultaneously. A simulation was conducted based on the wind-PV-battery unit in Zhangbei, China. Results showed that a wind-PV-battery unit could effectively minimize the NPC of power-generation units under a stable grid-connected operation. Finally, the sensitivity analysis of the wind-PV-battery unit demonstrated that the optimization result was closely related to potential wind-solar resources and government support. Regions with rich wind resources and a reasonable government energy policy could improve the economic efficiency of their power-generation units. |
| format | Article |
| id | doaj-art-04a533253286483b98eec117329353c7 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-04a533253286483b98eec117329353c72025-02-03T07:25:58ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/539414539414Optimal Capacity Allocation of Large-Scale Wind-PV-Battery UnitsKehe Wu0Huan Zhou1Jizhen Liu2State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaSchool of Control and Computer Engineering, North China Electric Power University, P.O. Box 570, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaAn optimal capacity allocation of large-scale wind-photovoltaic- (PV-) battery units was proposed. First, an output power model was established according to meteorological conditions. Then, a wind-PV-battery unit was connected to the power grid as a power-generation unit with a rated capacity under a fixed coordinated operation strategy. Second, the utilization rate of renewable energy sources and maximum wind-PV complementation was considered and the objective function of full life cycle-net present cost (NPC) was calculated through hybrid iteration/adaptive hybrid genetic algorithm (HIAGA). The optimal capacity ratio among wind generator, PV array, and battery device also was calculated simultaneously. A simulation was conducted based on the wind-PV-battery unit in Zhangbei, China. Results showed that a wind-PV-battery unit could effectively minimize the NPC of power-generation units under a stable grid-connected operation. Finally, the sensitivity analysis of the wind-PV-battery unit demonstrated that the optimization result was closely related to potential wind-solar resources and government support. Regions with rich wind resources and a reasonable government energy policy could improve the economic efficiency of their power-generation units.http://dx.doi.org/10.1155/2014/539414 |
| spellingShingle | Kehe Wu Huan Zhou Jizhen Liu Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units International Journal of Photoenergy |
| title | Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units |
| title_full | Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units |
| title_fullStr | Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units |
| title_full_unstemmed | Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units |
| title_short | Optimal Capacity Allocation of Large-Scale Wind-PV-Battery Units |
| title_sort | optimal capacity allocation of large scale wind pv battery units |
| url | http://dx.doi.org/10.1155/2014/539414 |
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