Multi-Objective Optimal Power Flow Considering Small-Signal Stability Based on MOPSO

Abstract

Optimal power flow with small-signal stability constraint has attracted extensive attention because it can consider both small-signal stability and economy. However, the appropriate small-signal stability constraint threshold is not known in advance. In this paper, firstly, a multi-objective optimal power flow model is constructed with the objectives of small-signal stability and generation cost, and considering the constraints and limitations of system operation. Secondly, to obtain the Pareto optimal set, multi-objective particle swarm optimization is used to solve the proposed model. Finally, a fuzzy membership function is introduced to select the best compromise solution objectively and fairly. Simulation results for an 8-machine 24-bus system show that the proposed model can provide a reference for system operators to trade-off the small-signal stability and economy.