SPSO-TVAC Congestion Management in a Practical Electricity Market Based Generator Sensitivity

摘要

Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. This paper presents a new method of Speed Particle Swarm Optimization with Time-Varying Acceleration Coefficients (SPSO-TVAC)-based Congestion Management (CM) by optimal rescheduling of active powers of generators. In the proposed method, generators are selected based on their sensitivity to the congested line for efficient utilization. The task of optimally rescheduling the active powers of the participating generators to reduce congestion in the transmission line is attempted by SPSO-TVAC. The SPSO-TVAC algorithms are tested on the IEEE 30-bus, IEEE 118-bus and Practical Indian 75-bus systems, after which the results are compared with conventional PSO to determine the effectiveness of CM. Compared with PSO-TVAC, PSO-TVTW, FPSO and PSO, SPSO-TVAC can better perform the optimal rescheduling of generators to relieve congestion in the transmission line.