基于概率潮流的含分布式电源配电网优化  

OPTIMIZATION OF DISTRIBUTED POWER DISTRIBUTION NETWORK BASED ON PROBABILISTIC LOAD FLOW

作　　者：杨晓萍[1] 王李瑾 Yang Xiaoping;Wang Lijin(Sohool of Electrical Engineering,Xi’an University of Technology,Xi’an 710048,China)

机构地区：[1]西安理工大学电气工程学院,西安710048

出　　处：《太阳能学报》2021年第8期71-76,共6页Acta Energiae Solaris Sinica

摘　　要：针对风电和光伏之间、风电和负荷之间呈负相关,光伏和负荷之间呈正相关问题,在进行含分布式电源的配电网优化时考虑不确定因素间的相关性问题,利用概率潮流中的拉丁超立方采样法和Cholesky分解进行相关性样本的采集,将生成的秩相关系数矩阵加入概率潮流计算中,在对配电网网架优化的基础上进行分布式电源的规划,应用改进的粒子群算法在IEEE 33节点配电系统进行仿真,结果表明,优化出电网电压偏差有小幅上升,年综合费用和电能损耗都相应降低,证明了在进行含分布式电源的配电网优化中利用概率潮流计及相关性的必要性。In view of the negative correlation between wind power and photovoltaic,between wind power and load,and the positive correlation between photovoltaic and load,the correlation factor is added in the distribution network planning. Latin hypercube sampling method in probabilistic power flow and Cholesky is used to represent the correlation among wind speed,illumination intensity and load.Then the rank correlation coefficient matrix is added to the probabilistic power flow calculation. Distributed generation planning is carried out on the basis of distribution network planning. In this paper,a modified particle swarm optimization algorithm is applied to simulate the distribution system of IEEE 33 bus. The results show that the voltage deviation of the planned power network increases slightly with the addition of the correlation factors,and the annual comprehensive cost and active power loss decrease correspondingly,which proves the necessity of considering the correlation factors in the planning of the distribution network including the distributed power supply.

关 键 词：配电网优化 风力发电 光伏发电 概率潮流 相关性 

分 类 号：TM743[电气工程—电力系统及自动化]