Distribution Network Planning Method Considering Flexibility Resource Attribute of Microgrids

XU Jiayin, WANG Tao, WANG Jiaqing, LIU Chen, MA Yinghao

Electric Power Construction ›› 2022, Vol. 43 ›› Issue (6) : 84-92.

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Electric Power Construction ›› 2022, Vol. 43 ›› Issue (6) : 84-92. DOI: 10.12204/j.issn.1000-7229.2022.06.009
Power System Planning

Distribution Network Planning Method Considering Flexibility Resource Attribute of Microgrids

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Abstract

Aiming at the distribution network with microgrid, a distribution network planning method considering the flexibility resource attribute of microgrids is proposed. The flexibility resource attribute of microgrids is considered from substation planning and grid planning. Firstly, the mathematical models of flexible resources in microgrids are established and then the external equivalent model of microgrids is formed. Then, the flexibility resources are considered by updating the constant volume formula and adding constraints in network planning. Finally, a distribution network programming model with minimum investment and operating cost as the objective function is established and it is solved by improved genetic algorithm. Case study is designed according to the area to be planned with three microgrids. The results show that the planning method proposed in the paper can improve the system transmission flexibility with a small increase in cost, so when the distributed power supply fluctuates or the load forecast is inaccurate during the operation of the distribution network in the future, the line will have enough flexibility for the main network or the microgrid to transmit power, which proves the rationality and effectiveness of the proposed model.

Key words

microgrid / flexibility resource / substation planning / network planning / improved genetic algorithm / distribution network flexibility

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Jiayin XU , Tao WANG , Jiaqing WANG , et al . Distribution Network Planning Method Considering Flexibility Resource Attribute of Microgrids[J]. Electric Power Construction. 2022, 43(6): 84-92 https://doi.org/10.12204/j.issn.1000-7229.2022.06.009

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Funding

State Grid Anhui Electric Power Co., Ltd. Research Program(521209200013)
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