中国电机工程学报2017，Vol.37Issue(16)：4630-4640,11.DOI:10.13334/j.0258-8013.pcsee.161208
基于时序电压灵敏度的有源配电网储能优化配置
Optimal Allocation of ESS in Distribution Network Containing DG Base on Timing-Voltage-Sensitivity Analysis
摘要
Abstract
Distribution power system voltage violation problem caused by distributed generation (DG) integration is becoming more and more significant.As have a flexible power regulation capability,energy storage system (ESS) is an effective way to support distribution network voltage control.A calculation method for ESS location based on timing sensitivity has been presented,in order to improve the distribution system voltage control ability.Firstly,the node voltage violation quantity was adopted as the weighting factor to improve the sensitivity index.Secondly,different node voltage adjustment direction was considered.Third,based on time series model,sequential sensitivity index was proposed.Fourth,and effect of different distribution network operation modes was accounted,increases the adaption of ESS allocation scheme.Finally,genetic algorithm was used to optimize the capacity of ESS.The modified IEEE33 bus system and a actual distribution system are simulated and result shows that:the method presented in this paper considering the variety characteristics of active distribution network,effectively improve the ESS voltage support ability of active distribution network,taking into account the different node voltage adjust demands.Moreover,the observed allocation scheme and can meet the requirements of different distribution network operation modes.关键词
分布式电源/电压偏移/调压需求/时序灵敏度/储能配置Key words
distributed generation (DG)/voltage deviation/voltage regulation requirements/timing-sensitivity/allocation of energy storage system分类
信息技术与安全科学引用本文复制引用
李振坤,陈思宇,符杨,董成明,张静炜..基于时序电压灵敏度的有源配电网储能优化配置[J].中国电机工程学报,2017,37(16):4630-4640,11.基金项目
国家自然科学基金项目(51407113) （51407113）
上海绿色能源并网工程技术研究中心项目(13DZ2251900).Project Supported by National Natural Science Foundation of China(51407113) （13DZ2251900）
Shanghai Engineering Research Center of Green Energy Grid-Connected Technology(13DZ2251900). （13DZ2251900）
