Abstract: With the continuous development of distributed power supply, the load in distribution network presents a trend of diversification. The reactive power regulation strategy and traditional algorithm of traditional distribution network can not meet the demand of reactive power compensation of modern distribution network. Therefore, a dynamic reactive power optimization strategy of active distribution network based on improved krill swarm algorithm is proposed to solve the above problems. First of all, the reactive power optimization process is divided into two parts, the dynamic compensation regulation and days before recently considered discrete reactive compensation devices of reactive power compensation capacity, days after fully considering scenery output to compensate the system and other continuous adjusting equipment, active power distribution network based-days before dynamic reactive power optimization model of multiple time scales. Secondly, an improved krill colony algorithm based on cosine control factor and Cauchy factor is proposed to solve the model. Finally, the feasibility and effectiveness of this strategy are verified by the modified IEEE33 node system experiment, which can ensure the smooth operation of active distribution network and realize the maximum economic benefit.

Key words: reactive power optimization,  , improved krill herd algorithm,  , multi-time scale,  , active distribution network