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山东理工大学电气与电子工程学院,山东省淄博市 255000
石博(1999—),男,硕士研究生,主要研究方向:大规模分布式电源集群规划。E-mail:shibo_sdut@163.com
肖传亮(1991—),男,通信作者,博士,主要研究方向:分布式发电集群及其关键技术。E-mail:xiaocl@sdut.edu.cn
彭克(1983—),男,教授,博士生导师,主要研究方向:交直流配电系统与综合能源系统。E-mail:pengke@sdut.edu.cn
收稿:2022-08-27,
修回:2022-11-04,
网络出版:2022-12-22,
纸质出版:2023-07-25
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石博,肖传亮,彭克等.基于集群划分的配电网网-源-储双层联合扩展规划策略[J].电力系统自动化,2023,47(14):43-51.
SHI Bo,XIAO Chuanliang,PENG Ke,et al.Two-layer Joint Expansion Planning Strategy of Grid-Source-Storage for Distribution Network Based on Cluster Partition[J].Automation of Electric Power Systems,2023,47(14):43-51.
石博,肖传亮,彭克等.基于集群划分的配电网网-源-储双层联合扩展规划策略[J].电力系统自动化,2023,47(14):43-51. DOI: 10.7500/AEPS20220827003.
SHI Bo,XIAO Chuanliang,PENG Ke,et al.Two-layer Joint Expansion Planning Strategy of Grid-Source-Storage for Distribution Network Based on Cluster Partition[J].Automation of Electric Power Systems,2023,47(14):43-51. DOI: 10.7500/AEPS20220827003.
针对含高比例分布式电源的配电网线路扩展与源-储选址定容问题,文中提出了基于集群划分的配电网网-源-储双层联合扩展规划方法。首先,提出考虑电气距离、集群功率平衡以及集群规模大小的多指标配电网综合集群划分方法。其次,在集群划分的基础上提出双层联合扩展规划模型,上层以线路投资与运行成本最低为目标建立集群线路规划模型,实现对集群线路走向的优化;下层针对集群内源、荷的不确定性建立源-储鲁棒定址、定容模型,并引入不确定性调节参数刻画源-荷不确定性集的范围,以此得到分布式电源以及储能的最佳接入位置和容量,同时,可降低优化结果的保守性。最后,以中国某地区实际光伏配电网络为例进行仿真分析,验证了所提方法的有效性。
For the line expansion and source-storage siting and capacity of distribution networks with high proportion of distributed generators
this paper proposes a two-layer joint expansion planning method of grid-source-storage for distribution networks based on cluster partition. First
this paper proposes a multi-indicator distribution network integrated cluster partition method considering the electrical distance
cluster power balance
and cluster scale. Secondly
a two-layer joint expansion planning model is proposed based on cluster partition. The upper layer establishes the cluster line planning model to minimizie line investment and operation cost and realizes the optimization of cluster line orientation. The lower layer establishes the source-storage robust siting and capacity model for the uncertainty of source and load in the cluster
and introduces uncertainty regulation parameters to describe the range of source-load uncertainty set
so as to obtain the optimal access location and capacity of distributed generator and energy storage. Meanwhile
the conservativeness of the optimization results can be reduced. Finally
the effectiveness of the proposed method is verified by simulating and analyzing an actual photovoltaic distribution network in a certain region of China as a case.
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