摘要
研究表明配电网中位于同一风带、同一辐射带上相邻地点的风速间、太阳辐照强度间具有较强的相关性。为此,基于Nataf变换完成了风速相关性和辐照强度相关性的建模,设计了基于无向生成树的并行遗传算法求解含DG的配网重构随机模型,以IEEE 33节点配网系统为例分析了不同相关系数对配网重构方案的影响,包括开关状态、节点电压、系统网损,并验证了所提采样方法的有效性,凸显了在进行配电网运行调度工作中考虑风光资源相关性的必要性。
Research shows that there is a strong correlation between wind speeds at adjacent locations in the same wind belt, and the conclusion is the same with radiation in the same radiation belt. Thus, a method based on Nataf transformation is proposed in this paper to model the correlations of wind speed and radiation respectively. Undirected spanning tree-based parallel genetic algorithm (PSTGA) is devised to solve the stochastic distribution network reconfiguration model with distribution generation (DG). IEEE 33-node distribution system is used as an example for the analysis of the impacts of correlation on the distribution network reconfiguration, including states of switches, nodal voltage as well as overall power loss. Finally, the sampling method proposed in this paper is verified, indicating the necessity of considering the correlations between wind and solar resources in the operation and dispatching of distribution network.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2017年第5期83-90,共8页
Proceedings of the CSU-EPSA
关键词
配电网重构
分布式电源
资源相关性
Nataf变换
遗传算法
并行计算
distribution network reconfiguration
distributed generation
resource correlation
Natal transformation
genetic algorithm
parallel computation