Abstract:

The reactive power control of smart substation needs to achieve real-time in situ balance. Capacitor banks were usually configured in traditional substation as reactive power compensation. Along with the development of flexible AC transmission technology, dynamic reactive power compensation device was gradually used in the reactive power compensation of smart substation, but there were few coordination configurations between these two reactive power compensation methods. In view of the above situation, the configuration scheme of reactive power optimization was suggested for smart substation, in which capacitor banks were coordinated with static var compensator （SVC）. On the basis of the original optimal cover that only the considered equal capacity grouping configuration of capacitors, this paper improved the optimal cover method with considering the influence of SVC. Through the analysis of equal capacity grouping and several typical unequal capacity grouping, this paper constructed the multi-objective optimization mathematical model with the minimum reactive power mismatch area and the optimal investment cost as objectives, and then converted it into a single-objective function of the minimum annual loss as an evaluation function for the reactive power configuration of substation. Based on the genetic algorithm optimization, the configuration optimization schemes of SVC with equal or unequal grouping capacitor banks were obtained respectively and compared to get the optimal scheme. Finally, the reactive load data of a smart substation was used to verify the effectiveness and practicality of this configuration method.

Key words: smart substation, reactive power optimization, static var compensator, optimal cover, optimal grouping