A Distribution Network Planning Method Considering the Distributed Energy Resource Flexibility of Virtual Power Plants

Zhichun Yang (), Gang Han, Fan Yang, Yu Shen, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Wei Hu and Yang Lei
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Zhichun Yang: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Gang Han: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Fan Yang: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Yu Shen: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Yu Liu: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Huaidong Min: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Zhiqiang Zhou: State Grid Hubei Electric Power Co., Ltd., Wuhan 430037, China
Bin Zhou: State Grid Hubei Electric Power Co., Ltd., Wuhan 430037, China
Wei Hu: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China
Yang Lei: Electric Power Research Institute of State Grid Hubei Co., Ltd., Wuhan 430037, China

Sustainability, 2023, vol. 15, issue 19, 1-17

Abstract: To solve the overload problem caused by the high proportion of renewable energy into the power system, it is particularly important to find a suitable distribution network planning scheme. Existing studies have effectively reduced the planning cost by incorporating virtual power plants into the distribution planning process, but there is no quantitative analysis of the flexible resources inside the virtual power plant. At the same time, the traditional planning process does not pay much attention to the acquisition of photovoltaic and load data. Therefore, in this paper, we propose a distribution network planning method considering the flexibility of distributed energy resources in virtual power plants. Firstly, taking the distribution network planning including the virtual power plant as the research object, the flexibility of the distributed energy resource of the virtual power plant was quantified. Then, in order to achieve the goal of minimizing the operating cost of system planning, a distribution network planning model considering the flexibility of distributed energy resources in the virtual power plant is established. In this model, the impact of virtual power plants flexibility on the distribution network planning process is mainly considered. Secondly, this paper uses the improved k-means clustering algorithm to obtain the typical data of PV and load. The algorithm effectively overcomes the impact of PV and load output fluctuations on the planning process. Finally, the simulation results show that the proposed planning model can effectively reduce the operation cost of system planning by using distributed energy storage system and distributed energy resource flexibility. At the same time, the PV absorption rate of the PV power station inside the distribution network is improved.

Keywords: virtual power plant; distributed energy resource; distribution network planning; distributed energy storage system; flexibility quantization; improved k-means clustering algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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