电力系统自动化2025，Vol.49Issue(20)：73-83,11.DOI:10.7500/AEPS20250304004
基于馈线负荷集群直控的虚拟电厂调节能力动态评估方法
Dynamic Assessment Method for Regulation Capability of Virtual Power Plant Based on Direct Control of Feeder Load Clusters
摘要
Abstract
As a vital component of flexible regulation resources in power grids,feeder loads exhibit significant regulation potential and can serve as a critical component of the virtual power plant(VPP),playing an important role in the power grid security,stability control,and demand-side response.This paper focuses on the assessment of adjustable capacity of feeder loads,aiming to provide capacity constraints for their participation in grid optimization control in scenarios such as non-routine regulation and emergency balancing.Firstly,the voltage-power coupling characteristics of feeder loads are validated through engineering tests.On this basis,a time-varying characteristic-based model for conservation voltage reduction(CVR)coefficient is established,and a corresponding parameter identification method is proposed.Secondly,on the premise of using on-load tap changers(OLTCs)as the primary regulation means and shunt reactive power regulation devices as auxiliary means,a dynamic optimization model for assessing the adjustable capacity of feeder loads is proposed based on analytical voltage sensitivity.This model maximizes the voltage regulation boundaries while reducing the total regulation of reactive power.And combined with the CVR coefficient model,the regulation capability of the feeder cluster is updated every minute on a rolling basis.Finally,an modified IEEE 33-bus model is built on the MATLAB simulation platform to verify the effectiveness of the proposed method.关键词
虚拟电厂/馈线负荷/调压/电压灵敏度/可调容量/动态评估Key words
virtual power plant(VPP)/feeder load/voltage regulation/voltage sensitivity/adjustable capacity/dynamic assessment引用本文复制引用
廖思阳,石丰铭,徐箭,柯德平,孙元章,张恒荣..基于馈线负荷集群直控的虚拟电厂调节能力动态评估方法[J].电力系统自动化,2025,49(20):73-83,11.基金项目
贵州省科技计划项目(黔科合支撑[2023]一般292). This work is supported by Guizhou Provincial Science and Technology Program(No.[2023]292). （黔科合支撑[2023]一般292）
