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基于无功监测引导的绿色变电站光伏消纳运行策略

王维 杨逸凡 季振亚 韩雪 蔡千慧

电力工程技术2026,Vol.45Issue(2):41-50,10.
电力工程技术2026,Vol.45Issue(2):41-50,10.DOI:10.12158/j.2096-3203.2026.02.005

基于无功监测引导的绿色变电站光伏消纳运行策略

Operational strategy for renewable energy consumption in green substations guided by reactive power monitoring

王维 1杨逸凡 1季振亚 1韩雪 1蔡千慧1

作者信息

  • 1. 南京师范大学南瑞电气与自动化工程学院,江苏 南京 210046||江苏省综合能源设备及集成国际联合实验室,江苏 南京 210046
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摘要

Abstract

In response to the challenges posed by grid-connected node voltage exceeding the limit and output consumption during photovoltaic(PV)consumption systems into green substations,the operational strategy for renewable energy consumption in green substations guided by reactive power monitoring is proposed in this research.The primary objective of this strategy is to maximize PV consumption by analyzing the relationship between reactive power-voltage sensitivity and the load coverage rate.Through the decoupling of reactive power monitoring from active power consumption and the precise prediction of crucial variables such as active power surplus and reactive power compensation control correction quantities,a reactive power-voltage relationship model is constructed.Furthermore,through considering their current charge status and capacity constraints,a green substation consumption model with energy storage systems is established.Operational strategy for renewable energy consumption in green substations guided is formulated based on a reactive power-voltage relationship model.The model is solved using a improved particle swarm algorithm and validated via simulations on the IEEE 33-node system.Results demonstrate that the proposed strategy ensures stable grid-connected voltage while significantly enhancing PV consumption capacity.

关键词

无功监测/新能源消纳/运行策略/电压越限/储能系统/粒子群算法

Key words

reactive power monitoring/renewable energy consumption/operational strategy/voltage exceeding the limit/energy storage system/particle swarm algorithm

分类

信息技术与安全科学

引用本文复制引用

王维,杨逸凡,季振亚,韩雪,蔡千慧..基于无功监测引导的绿色变电站光伏消纳运行策略[J].电力工程技术,2026,45(2):41-50,10.

基金项目

国家自然科学基金资助项目(52107100) (52107100)

电力工程技术

2096-3203

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