10kV distribution line reactive optimal configuration based

on twopoint probability load flow

 

 

SUN Yanchao1, LV Haican2, ZHANG Jianmin1, LU Xianchuan2, XV Fuyuan1

 

(1. Automation College of Hangzhou Dianzi University, Hangzhou 310018, China;

 

2. State Grid Xinchang County Electric Power Company, Xinchang 310006, China)

 

 

Abstract: Aiming at the problems of a lot of uncertainties in the operation of the power system,such as the stochastic volatility of load,power or power output of random variation, electrical equipment out of operation due to random failures and other issues,the two point estimation of probabilistic load flow method was adopted to calculate the network loss.From the perspective of reducing loss as well as improving of power quality, a reactive power compensation optimization model was established.The optimal scheme of reactive power configuration optimization for distribution network was achieved by using of genetic algorithm and based on the modeling of the actual power grid load historical data. Through computational analysis of actual cases and the corresponding results, the results indicate that the two point estimation of probabilistic load flow method has accurate qualitative and effectiveness in the optimal allocation of reactive power distribution applications.

 

Key words: two point estimate method(2PEM); probabilistic load flow(PLF); reactive power allocation; genetic algorithm