微电网黑启动中考虑负荷恢复优化的分布式电源恢复方案  

Microgrid black-start considering DG startup sequence and load restoration optimization

作　　者：刘仲[1] 牟龙华[1] 许旭锋[1] 

机构地区：[1]同济大学电气工程系,上海201804

出　　处：《电力自动化设备》2016年第3期46-52,共7页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(51407128);浙江省科技计划项目(2013C01063);上海市科学技术委员会资助项目(12ZR1451300)~~

摘　　要：孤立微电网发生大面积停电后,微电网内部分布式电源(DG)恢复方案的制定对微电网黑启动的成功实施有重要作用。研究了DG启动顺序的优化及DG启动过程中负荷恢复的优化。根据DG特性评估了不同类型DG的黑启动能力,建立了以DG发电量最大和DG附近负荷重要度最大为目标的多目标优化模型。将DG恢复过程按时步划分后,采用多目标粒子群优化(MOPSO)算法对模型进行求解;然后选定最优的DG启动顺序,并为其搜索恢复路径。采用相同的时步划分方案,为DG启动过程中的负荷恢复建立了单目标优化模型,并利用改进的二进制粒子群优化(MBPSO)算法求解得到最优负荷恢复方案。算例分析结果验证了所提方案的有效性。The restoration scheme of DG（Distributed Generation） plays an important role in the successful black-start of islanded microgrid after a large-area blackout. The optimization of DG startup sequence and the optimization of load restoration during the startup are studied. The black-start ability is assessed for different DG types according to their characteristics and a DG startup optimization model with the maximum energy generated by DGs and the greatest importance degree of their loads as its multiple objectives is then established. The DG restoration sequence is divided into several steps and the MOPSO（Multi-Objective Particle Swarm Optimization） algorithm is applied to solve the optimization model for each step. The optimal DG startup scheme is then selected and its optimal restoration path is searched. A single-objective optimization model is established for the load restoration and the MBPSO（Modified Binary Particle Swarm Optimization） algorithm is applied to solve the model for each step of DG restoration sequence. The effectiveness of the proposed scheme is verified by the results of case analysis.

关 键 词：微电网 黑启动 分布式电源 启动顺序 负荷恢复 多目标粒子群优化算法 

分 类 号：TM72[电气工程—电力系统及自动化] TM61