GE WENHONG, XU JIA, WANG YUESHENG, et al. Study on Capacitance Prediction of Power Capacitor Bank Based on Artificial Fish Swarm Algorithm. [J]. Power capacitor & reactive power compensation, 2018, 39(3): 11-15.
GE WENHONG, XU JIA, WANG YUESHENG, et al. Study on Capacitance Prediction of Power Capacitor Bank Based on Artificial Fish Swarm Algorithm. [J]. Power capacitor & reactive power compensation, 2018, 39(3): 11-15. DOI: 10.14044/j.1674-1757.pcrpc.2018.03.003.
For achieving accurate capacitance prediction of capacitor bank for 10 kV substation
improving the operation life of the capacitor and stability of the power transmission and transformation system
in this paper
a kind of capacitance prediction model of capacitor for 10 kV substation based on AFSA optimized ELM weight and offset is proposed.In this model
the AFSA algorithm is used to optimize input weight and hidden layer offset of ELM so to achieve ELM’s most optimization prediction.It is known through comparison and analysis of such three methods as PSO-ELM
GA-ELM and DE-ELM that capacitance prediction for capacitor of 10 kV substation with AFSA-ELM has the advantages of high prediction accuracy and the method and the method can provide decision base and reference for the capacitance prediction of capacitor bank.
关键词
鱼群算法(AFSA)极限学习机(ELM)遗传算法电容器差分进化算法
Keywords
artificial fish swarm algorithm(AFSA)extreme learning machine(ELM)genetic algorithmcapacitordifferential evolutionary algorithm