Optimal operation modes of photovoltaicbatteryenergy storage system basedpower plants considering typical scenarios

Yajing Gao; Fushen Xue; Wenhai Yang; Qiang Yang; Yongjian Sun; Yanping Sun; Haifeng Liang; Peng Li

doi:10.1186/s41601-017-0066-9

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Optimal operation modes of photovoltaicbatteryenergy storage system basedpower plants considering typical scenarios

Contents | 更新时间：2026-06-25

- Optimal operation modes of photovoltaicbatteryenergy storage system basedpower plants considering typical scenarios
- Protection and Control of Modern Power Systems Vol. 2, Issue 4, (2017)
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- DOI：10.1186/s41601-017-0066-9
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- Published：2017
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Yajing Gao, Fushen Xue, Wenhai Yang, et al. Optimal operation modes of photovoltaicbatteryenergy storage system basedpower plants considering typical scenarios[J]. Protection and Control of Modern Power Systems, 2017, 2(4).
DOI：

Yajing Gao, Fushen Xue, Wenhai Yang, et al. Optimal operation modes of photovoltaicbatteryenergy storage system basedpower plants considering typical scenarios[J]. Protection and Control of Modern Power Systems, 2017, 2(4). DOI： 10.1186/s41601-017-0066-9.

摘要

Recent advances in battery energy storage technologies enable increasing number of photovoltaic-battery energy storage systems (PV-BESS) to be deployed and connected with current power grids. The reliable and efficient utilization of BESS imposes an obvious technical challenge which needs to be urgently addressed. In this paper

the optimal operation of PV-BESS based power plant is investigated. The operational scenarios are firstly partitioned using a self-organizing map (SOM) clustering based approach. The revenue optimization model is adopted for the PV-BESS power plants to determine the optimal operational modes under typical conditions for a set of considerations

e.g. power generation revenue

assessing rewards/penalties as well as peak shaving/valley filling revenue. The solution is evaluated through a set of case studies

and the numerical result demonstrates the effectiveness of the suggested solution can optimally operate the BESS with the maximal revenue.

Abstract

e.g. power generation revenue

assessing rewards/penalties as well as peak shaving/valley filling revenue. The solution is evaluated through a set of case studies

and the numerical result demonstrates the effectiveness of the suggested solution can optimally operate the BESS with the maximal revenue.

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