ZHAO Li1, QIU Chenglong2, ZHEN Lianqing1

 

(1. Dopartment of Mechanical & Electrical Engineering, Xingxin Vocational and Technical College

 

of the Xinjiang Production and Construction Corps, Wulumuqi 830074, China;

 

2. Qingdao Power Supply Company of State Grid, Qingdao 266000, China)

 

 

Abstract: Aiming at the correct selection of the capacity of unified power flow controller (UPFC), the method of determination of the capacity of UPFC installed by the cost and profit functions was introduced. The installed capacity of UPFC using a new intelligent algorithmartificial fish swarm algorithm was presented to find the optimal compensation voltage (p.u.) and determine the UPFC capacity. In order to compare the algorithm′s optimization, the genetic algorithm was compared with the artificial fish swarm algorithm. Finally, taking IEEE 14 node system for example, the method was used to find the optimal size of UPFC. Through Matlab simulation the relationship curve between income and UPFC series injected voltage amplitude was got. After the analysis, the calculation results show that the algorithm has ability to overcome the local extremum and achieve global extremum; only using the values in the algorithm, there is a certain adaptive ability of the search space; initial value to the parameter selection is insensitivity, strong robustness, simple and easy to implement, fast convergence speed.

 

Key words: unified power flow controller(UPFC); capacity; artificial fish swarm algorithm; genetic algorithm