Fault location method for distribution lines with distributed generators based on a novel hybrid BPSOGA

作者：Jin, Tao^*; Li, Hongnan

来源：IET Generation Transmission & Distribution, 2016, 10(10): 2454-2463.

DOI：10.1049/iet-gtd.2015.1262

• distributed power generation
• fault location
• power distribution lines
• particle swarm optimisation
• genetic algorithms
• ground resistance
• fault angle
• fault distance
• transmission lines
• double-end steady-state positive sequence voltage distribution regulations
• coding criterion
• transient zero sequence current
• mutation direction differences
• distance detection
• section line location
• information sharing technology
• double population evolution strategy
• genetic algorithm

By researching models of hybrid cable-overhead multiple branch distribution lines with distributed generators, a novel fault location method is proposed which combines binary particle swarm optimisation (BPSO) and a genetic algorithm. These two methods are mixed using a double population evolution strategy and information sharing technology. The proposed fault location method consists of section line location and distance detection. On the basis of the mutation direction differences of the transient zero sequence current and voltage of each section line when a fault occurs, the authors propose a new coding criterion and method capable of section line location. Distance detection equations are built through double-end steady-state positive sequence voltage distribution regulations along the transmission lines and are then solved by the proposed hybrid BPSO genetic algorithm. Through simulation and experiment, the proposed hybrid algorithm is shown to have good performance. The effectiveness of the proposed fault location method is proven to be accurate and reliable and it is insensitive to impact factors such as fault distance, fault angle, and ground resistance.

• 出版日期2016-7-7
• 单位福州大学