摘要
风电等分布式电源(DG)出力的波动性对配电网故障恢复产生很大影响。本文提出一种计及DG出力波动性的配电网故障恢复策略。首先为了形成合理运行的孤岛,提出一种深度优先搜索与广度优先搜索相结合的孤岛划分算法;然后提出利用拟蒙特卡洛方法模拟DG出力的波动性,建立基于机会约束规划的故障恢复重构模型,并利用NSGA2算法进行求解。最后以IEEE 33节点系统进行算例分析,结果表明本文所提方法可以充分发挥间歇性DG的最大出力,并且能在多个重构优化结果中折中出最优方案,验证了本文所提策略的有效性。
Due to the output volatility of distributed generations （DGs）, e.g., wind power, the service restoration in dis- tribution network will be seriously affected. To solve this problem, a service restoration strategy for distribution network considering the output volatility of DGs is presented in this paper. First, to form a reasonably operating island, an is- land partitioning algorithm is proposed based on the combination of depth-first search （DFS） and breadth-first search （BFS）. Second, quasi-Monte Carlo method is used to simulate the output volatility of DGs, and a reconfiguration model for service restoration is established based on chance constrained programming, which is further solved using NSGA2 algorithm, At last, an IEEE 33-node system is adopted as a numerical example. Results show that the proposed algo- rithm can make full use of the maximum output of intermittent DGs, and the best solution can be compromised among multiple reconfiguration optimization results, which verifies the effectiveness of the proposed strategy.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2018年第1期115-120,共6页
Proceedings of the CSU-EPSA
关键词
配电网
故障恢复
孤岛划分
拟蒙特卡洛方法
多目标优化
distribution network
service restoration
island partitioning
quasi-Monte Carlo method
multi-objectiveoptimization
