Flexible interconnection strategy for distribution networks considering multiple soft open points siting and sizing

•Breaking through the existing SOP configuration method theory, this paper proposes a multi-SOP siting and sizing strategy. It satisfies the demand of flexible interconnection of multiple distribution stations under the background of rapid load growth and high proportion DPV grid connection.•This pa...

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Bibliographic Details
Published in:	Electric power systems research Vol. 241; p. 111335
Main Authors:	Zhang, Jing, Wang, Tonghe, Liao, Zhuoying, Tang, Zitong, Wang, Hao, Yue, Jingpeng, Shu, Jie, Dong, Zhaoyang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2025
Subjects:	Bi-level programming model Distributed photovoltaic (DPV) Flexible interconnection Siting and sizing Soft open point (SOP) Soft open point (SOP) Distributed photovoltaic (DPV) Bi-level programming model Flexible interconnection Siting and sizing
ISSN:	0378-7796
Online Access:	Get full text
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Summary:	•Breaking through the existing SOP configuration method theory, this paper proposes a multi-SOP siting and sizing strategy. It satisfies the demand of flexible interconnection of multiple distribution stations under the background of rapid load growth and high proportion DPV grid connection.•This paper introduces a two-layer programming model based on IGWO. Through upper-layer optimization and the lower-layer scheduling, the internal coordination in a single DN and the flexible complementarity across multiple DNs can be achieved. Soft open point (SOP) can control the power flow of distribution network (DN) in real-time and with precision, thereby optimizing system power flow and voltage distribution. Addressing the need for the flexible interconnection of multiple distribution stations under the background of “whole county promotion” of distributed photovoltaics (DPVs), a multi-SOP siting and sizing strategy based on a bi-level programming model and the improved grey wolf optimization (IGWO) algorithm is proposed. The upper-level optimization comprehensively considers configuration costs, operation and maintenance costs, and loss costs, uses IGWO to generate programming schemes, and carries out the siting and sizing of multiple SOPs. Based on the upper-level programming scheme, the lower-level executes the optimal DNs scheduling using second order cone programming (SOCP) algorithm, and then feeds the scheduling costs back to the upper-level. The case study results of this paper indicate that the proposed strategy for siting and sizing of multiple SOPs in multiple DNs effectively combines the internal coordination in a single DN and the flexible complementarity across multiple DNs, thereby reducing system loss and improving economy.
ISSN:	0378-7796
DOI:	10.1016/j.epsr.2024.111335