Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods

李黄强; 赵发金; 舒征宇; 陈 林; 童华敏; 鲍 刚

doi:10.3969/j.issn.1009-1831.2025.02.013

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Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods

更新时间：2026-03-05

- Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods
- Vol. 27, Issue 2, (2025)
- 作者机构：
  
  1. 国网湖北省电力有限公司宜昌供电公司,湖北,宜昌,443000
  2. 三峡大学电气与新能源学院,湖北,宜昌,443002
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.02.013
  CLC：
- Published：2025
- 稿件说明：
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李黄强, 赵发金, 舒征宇, et al. Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods[J]. 2025, 27(2).
DOI：

李黄强, 赵发金, 舒征宇, et al. Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods[J]. 2025, 27(2). DOI： 10.3969/j.issn.1009-1831.2025.02.013.

摘要

为了提升配电网分布式光伏承载能力

提出了一种考虑多种调控手段的分布式光伏承载能力提升优化模型。首先

考虑电源侧逆变器无功调控、配网侧附加无功补偿及网络重构

建立了以配电网光伏接入容量最大、经济性最优的多目标优化规划模型；其次

针对配电网中光伏-负荷的不确定性

构建了考虑光伏-负荷时序相关性的联合时序典型场景；最后

通过NSGA-II多目标优化算法求解所建模型

得到优化结果。算例仿真验证

逆变器无功调控、附加无功补偿及网络重构3种调控手段相配合可以在兼顾经济性的前提下有效提升配电网的分布式光伏承载能力。

Abstract

In order to improve the distributed photovoltaic carrying capacity of the distribution network

a distributed photovoltaic carrying capacity improvement method considering a variety of regulation and control methods is proposed. Firstly

considering the reactive power control of the inverter on the power supply side

the additional reactive power compensation on the distribution network side and the network reconstruction

a multi-objective optimization planning model with the largest photovoltaic access capacity and the best economy in the distribution network is established. Secondly

aiming at the uncertainty of PV-load in the distribution network

a typical joint timing scenario considering the correlation between PV-load timing is constructed. Finally

the NSGA-II multi-objective optimization algorithm is used to solve the model

and the optimization results are obtained. The simulation results show that the combination of three control methods

namely inverter reactive power control

additional reactive power compensation and network reconstruction

can effectively improve the distributed photovoltaic carrying capacity of the distribution network under the premise of taking into account the economy.

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