Increment-Exchange-Based Decentralized Multiobjective Optimal Power Flow for Active Distribution Grids

Abstract

To increase distributed energy resource (DER) utilization while reducing their negative influence, this article proposes an increment-exchange-based decentralized multiobjective optimal power flow (MO-OPF) algorithm for distribution grids with high-DER integration. In the MO-OPF model, the network operator and DER owners pursue their own operational and economic objectives while ensuring that voltages and branch power limits are satisfied throughout the network. The proposed algorithm enables the solution of the MO-OPF problem in a decentralized manner, without exposing any DER's private information to the network operator. Its core idea is to use the quadratic functions of coupling variables' increments to describe the impact of DER owners on the network operator; then the network operator computes variables' increments by solving accumulated quadratic programming problems. The resulting method can provide the same evenly distributed Pareto-optimal solutions as the centralized model, and it has plug-and-play features and scalability properties. Case studies on an IEEE 33-bus and a real 266-bus distribution system are carried out to demonstrate the merits of the proposed algorithm.