Multi-objective Dynamic Reactive Power Optimization Based on OLTC and Reactive Power Compensation

Abstract

Reactive power optimization is to minimize the active power losses of the distribution network by coordinating on-load tap-changing(OLTC) transformer and reactive power compensation(RPC) equipment, such as capacitor banks(CB) and static var compensator(SVC), etc.. Aside from power losses, minimizing voltage deviation is also an important aspect of reactive power optimization. Traditional reactive power optimization only considers the optimization effect of a single period, not the overall day's optimization. In view of this, a multi-objective dynamic reactive power optimization model is established in this paper, with the objective of minimizing the active power losses and voltage deviation, and the constraints of OLTC and RPC equipment. The second-order cone relaxation (SOCR) is used to convert the mixed integer nonlinear programming (MINLP) problem into the mixed integer second-order cone programming (MISOCP) problem, and the multi-objective variable-weight method is adapted to achieve the multi-objective dynamic reactive power optimization. Case studies are carried out on the modified IEEE 33-node system to verify the feasibility and effectiveness of the proposed method.