中国电机工程学报2024，Vol.44Issue(15)：5934-5946,中插8,14.DOI:10.13334/j.0258-8013.pcsee.230415
考虑光伏电源可靠性的新能源配电网数据驱动无功电压优化控制
Data-driven Voltage/Var Optimization Control of Active Distribution Network Considering the Reliability of Photovoltaic Power Supply
摘要
Abstract
Fully exploiting the reactive power support capability of distributed photovoltaic power supply is instrumental in addressing issues related to voltage fluctuation,voltage over-limit and new energy consumption in the distribution network caused by a high proportion of photovoltaic access.However,the reactive power output of the photovoltaic power supply will cause the junction temperature of its power device to exceed the limit or fluctuate sharply,which seriously threatens the reliable operation of the photovoltaic power supply.Therefore,this paper proposes a data-driven voltage/var optimization control strategy for the new energy distribution network considering the reliability of the photovoltaic power supply.First,a data-driven reliability evaluation method for photovoltaic power supply is proposed.This method uses the XGBoost machine learning model to calculate IGBT junction temperature,which improves the calculation efficiency of IGBT junction temperature and avoids the dependence of evaluation accuracy on IGBT parameters.Then,the voltage/var optimization model of the distribution network considering the reliability of the photovoltaic power supply is established,and the average junction temperature and junction temperature fluctuation of IGBT are introduced into the model optimization goal.Then the model is transformed into the Markov decision process,and the agent training is completed based on the deep deterministic strategy gradient algorithm.Finally,the advantages of the proposed strategy in ensuring the speed of reactive voltage optimization and improving the reliability of photovoltaic power supply are verified through simulations on the IEEE 33-bus system.关键词
配电网/IGBT可靠性/无功电压优化/马尔可夫决策过程/强化学习Key words
distribution network/IGBT reliability assessment/reactive voltage optimization/Markov decision process/reinforcement learning分类
信息技术与安全科学引用本文复制引用
张波,高远,李铁成,胡雪凯,贾焦心..考虑光伏电源可靠性的新能源配电网数据驱动无功电压优化控制[J].中国电机工程学报,2024,44(15):5934-5946,中插8,14.基金项目
国家自然科学基金项目(52207102) （52207102）
河北省自然科学基金项目(E2022502059). Project Supported by National Natural Science Foundation of China(52207102) （E2022502059）
Natural Science Foundation of Hebei Province(E2022502059). （E2022502059）
