Charging and Discharging Strategies of Independent Energy Storage for Distribution Grid Side Considering Distributed PV Carrying Capacity
In the context of carbon peaking and carbon neutrality goals and new power system construction, China’s distributed photovoltaic (PV) development accelerates. Areas with a high proportion of distributed PV access are prone to grid voltage rise over the limit, reverse tide equipment overload, and oth...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2024-04-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305016 |
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| Summary: | In the context of carbon peaking and carbon neutrality goals and new power system construction, China’s distributed photovoltaic (PV) development accelerates. Areas with a high proportion of distributed PV access are prone to grid voltage rise over the limit, reverse tide equipment overload, and other problems, affecting the distribution grid carrying capacity with the distributed PV access. This paper fully considers the regulating role of independent energy storage on the distribution grid side and proposes an optimal configuration of independent energy storage and charging/discharging strategy for improving the carrying capacity of the grid with distributed PV access. Specifically, the comprehensive cost effectiveness of the independent energy storage application of the distribution grid side based on the time-series tide and two-step iteration is considered, and the independent energy storage configuration capacity and charging/discharging control strategy are scientifically and reasonably determined based on the principle of the minimum system cost. The low-voltage distribution grid of a village is selected as a case study, and the effectiveness of the independent energy storage charging and discharging control strategy proposed in this paper is simulated and analyzed by the Distribution System Analysis and Optimization Platform (DSAP). |
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| ISSN: | 1004-9649 |