摘要
针对传统配电网无法脱离主电网实现黑启动的问题,本文提出一种基于源荷依赖度累积恢复效率指标的含分布式电源配电网黑启动策略.该方法以黑启动电源为中心,通过最小路径进行系统电源聚类,形成区域黑启动电源.利用模糊层次分析法建立负荷与各区域电源的源荷依赖度模型,以源荷依赖度最大为目标将系统划分为以区域电源为中心的多个区域;建立区域内负荷与电源的源荷依赖度恢复效率模型,以负荷恢复过程中源荷依赖度累积恢复效率最高为目标,根据黑启动过程中系统动态变化自动优化负荷恢复顺序,使得更多重要负荷优先恢复.对含分布式电源IEEE69节点配电系统进行算例分析,结果验证了所提方案的有效性.
To solve the problem that the traditional distribution network cannot realize black-start without the main pow⁃er grid,a black-start strategy for distribution network with distributed generations(DGs)is proposed based on the in⁃dex of cumulative recovery efficiency for source-load dependence.This method is centered on the black-start power sup⁃ply,and the system power supply clustering is carried out through the minimum path to form the black-start power sup⁃ply in one area.Based on the fuzzy hierarchical analysis,a source-load dependency model of load and regional power supplies is established,and the system is divided into several regions centered on the regional power supply with the ob⁃jective of maximum source-load dependency.To optimize the source-load accumulative recovery efficiency in the load recovery process,a model of source-load dependency recovery efficiency is established,which optimizes the load recov⁃ery sequences automatically according to system’s dynamic changes during the black-start process,thus recovering more important loads in priority.An IEEE 69-node distribution system with DGs is taken as an example,and results ver⁃ify the effectiveness of the proposed scheme.
作者
钟浩
阮建雄
王凌云
ZHONG Hao;RUAN Jianxiong;WANG Lingyun(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station,China Three Gorges University,Yichang 443002,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2020年第6期65-73,共9页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51707102)
湖北省重点实验室开放基金资助项目(2018KJX07)。
关键词
分布式电源
模糊层次分析
源荷依赖度
黑启动
负荷恢复顺序
distributed generation
fuzzy hierarchical analysis
source-load dependency
black-start
load recovery se⁃quence