Robust Optimization of Distributed Photovoltaic Hosting Capacity of Active Distribution Network with Soft Open Point

Yichen FANG; Shenxi ZHANG; Haozhong CHENG; Xiuwen CAI; Mingxi LIN; Hanghai XU

doi:10.7500/AEPS20200916002

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Robust Optimization of Distributed Photovoltaic Hosting Capacity of Active Distribution Network with Soft Open Point

Basic Research | 更新时间：2025-06-16

- Robust Optimization of Distributed Photovoltaic Hosting Capacity of Active Distribution Network with Soft Open Point
- Automation of Electric Power Systems Vol. 45, Issue 7, Pages: 8-17(2021)
- 作者机构：
  
  1.电力传输与功率变换控制教育部重点实验室（上海交通大学），上海市 200240
  2.国网福建省电力有限公司泉州供电公司，福建省泉州市 362000
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China;National Natural Science Foundation of China-State Grid Joint Fund for Smart Grid;Shanghai Sailing Program
- DOI：10.7500/AEPS20200916002
  CLC：
- Received：16 September 2020，
  
  Revised：2020-11-25，
  
  Published Online：18 February 2021，
  
  Published：10 April 2021
- 稿件说明：
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方一晨,张沈习,程浩忠等.含智能软开关的主动配电网分布式光伏准入容量鲁棒优化[J].电力系统自动化,2021,45(7):8-17.

FANG Yichen,ZHANG Shenxi,CHENG Haozhong,et al.Robust Optimization of Distributed Photovoltaic Hosting Capacity of Active Distribution Network with Soft Open Point[J].Automation of Electric Power Systems,2021,45(7):8-17.
方一晨,张沈习,程浩忠等.含智能软开关的主动配电网分布式光伏准入容量鲁棒优化[J].电力系统自动化,2021,45(7):8-17. DOI： 10.7500/AEPS20200916002.

FANG Yichen,ZHANG Shenxi,CHENG Haozhong,et al.Robust Optimization of Distributed Photovoltaic Hosting Capacity of Active Distribution Network with Soft Open Point[J].Automation of Electric Power Systems,2021,45(7):8-17. DOI： 10.7500/AEPS20200916002.

摘要

考虑分布式光伏和负荷功率的不确定性，建立了二阶段鲁棒优化模型，用于评估主动配电网（ADN）的分布式光伏的最大准入容量。若干主动管理（AM）措施被应用于ADN中，包括带储能的多端智能软开关（E-SOP）调节、有载调压变压器（OLTC）调节、无功补偿、分布式光伏无功调节和网络重构。基于凸松弛技术，原问题可以分解为主问题和子问题。主问题优化典型日AM措施模拟运行策略，以计算待选节点上分布式光伏最大准入容量；子问题寻找不确定性的最恶劣场景。针对凸松弛引入的间隙，提出了一种将渐紧线切割算法和列与约束生成算法相结合的求解策略，以获得间隙足够小的原问题最优解。在改进的IEEE 33节点ADN上验证了模型和算法的有效性，分析了不确定性和AM措施对ADN中分布式光伏最大准入容量的影响。

Abstract

A two-stage robust optimization model is established for the assessment of the maximum hosting capacity of distributed photovoltaic (PV) of an active distribution network (ADN) considering the uncertainties of distributed PV and load power. Several active management (AM) strategies are applied in the ADN

including the regulation of the multi-terminal soft open point with energy storage (E-SOP)

the regulation of on-load tap changers (OLTC)

the reactive power compensation

the reactive power control of distributed PV

and the network reconfiguration. Based on the technology of convex relaxation

the original problem can be decomposed into a master problem and a subproblem. The master problem optimizes the simulated operation mode of AM strategies on a typical day to calculate the maximum hosting capacity of distributed PV at the candidate nodes. The subproblem searches for the worst scenario of uncertainties. In view of the gap introduced by the convex relaxation

a solving strategy combined the algorithm of increasingly tight linear cut (ITLC) with the column-and-constraint generation (C&CG) algorithm is proposed to obtain the optimal solution of the original problem with a sufficiently small gap. The validation of the model and algorithm is investigated on a modified IEEE 33-bus ADN. And the impact of the uncertainties and the AM strategies on the maximum hosting capacity of distributed PV in the ADN is analyzed.

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