电力建设2024,Vol.45Issue(7):88-99,12.DOI:10.12204/j.issn.1000-7229.2024.07.008
基于灵敏度的光储直流配电网电压/网损自适应优化协调控制
Sensitivity-Based Adaptive Voltage/Network Loss-Coordinated Optimal Control in Photovoltaic-Storage DC Distribution Systems
摘要
Abstract
The configuration of a direct-current(DC)distribution system has prominent advantages in accommodating distributed photovoltaics,energy storage,and other DC power sources,making it an effective approach for achieving emission peaks and carbon neutrality.Random power fluctuations in photovoltaics can cause bidirectional changes in the power flow,frequent voltage beyond the limit,and increased network losses.A sensitivity-based adaptive voltage/network loss-coordinated optimal control strategy is proposed for a DC distribution system with integrated photovoltaics and energy storage(photovoltaic-storage DC distribution system).First,the voltage control characteristics of the photovoltaic-storage DC distribution system were analyzed,and analytical expressions for the voltage and network loss sensitivity suitable for photovoltaic and storage DC distribution networks were derived.Subsequently,a coordinated optimization control strategy based on sensitivity was designed,which included adaptive switching between two modes:voltage correction control and network loss optimization.This strategy performs coordinated control of the voltage source converter(VSC),DC transformer,and controllable energy-storage resources to achieve voltage safety control and network loss optimization.Finally,through simulations and programming combining DIgSILENT and Python,models of 33-node and 69-node photovoltaic-storage DC distribution systems were constructed,and the effectiveness of the proposed control strategy was verified.关键词
直流配电网/灵敏度解析/电压校正/网损优化/自适应协调/协同控制Key words
DC distribution system/sensitivity analysis/voltage correction control/network loss optimization/adaptive switch control/cooperative optimal control分类
信息技术与安全科学引用本文复制引用
李晓庆,张培超,祝炜昊,牛晓光,杨浩,孙正龙..基于灵敏度的光储直流配电网电压/网损自适应优化协调控制[J].电力建设,2024,45(7):88-99,12.基金项目
This work is supported by the National Key R&D Program of China(No.2021YFB2400800)and Science and Technology Program of Shandong Electric Power Engineering Consulting Institute Co.,Ltd.(No.37202345K0005). 国家重点研发计划项目(2021YFB2400800) (No.2021YFB2400800)
山东电力工程咨询院有限公司科技项目(37202345K0005) (37202345K0005)