PSO-based contingency management strategy assessment of distribution system using multiple severity indices

Abstract

Due to the competitive nature of the electrical market, ensuring the electrical system's secure, efficient, and cost-effective functioning is one of the most crucial challenges. This paper presents a new contingency management strategy for distribution systems to successfully deal with routine maintenance by applying the appropriate control action while taking operational requirements for voltage deviation and transmission line overloading into account. The proposed management strategy can help electricity company operators: 1) reduce generation costs by reducing the number of generators, 2) meet the required load demand with the least amount of generation consumption, and 3) ensure the system is secure so that all load lines are not loaded to their maximum power. The effectiveness of the proposed strategy is assessed using a multiple severity indices, which includes five indices. The five severity indices are real power performance index (PI), voltage deviation index (VDI), active power loss index (PLI), reactive power loss index (QLI), and line utilization factor (LUF). The proposed contingency management strategy has been implemented in MATLAB software utilizing the particle swarm optimization (PSO) technique for typical IEEE 14-bus distribution system operation considering three probable contingency cases. Case A considers the failure of a bus-containing generator. Case B considers the failure of a transmission line. Case C considers the failure of two transformers. The simulation results indicate a satisfactory range of proposed indices within safe limits.