RESERVE CLEARING IN DEREGULATED ENVIRONMENT USING DYNAMIC MULTI-SWARM OF PARTICLE SWARM OPTIMIZER

Reserve clearing is an important part of electricity markets and is done in both aggregated and disaggregated market. The amount of required reserve is determined by using either deterministic or probabilistic methods. In disaggregated market that energy and reserve are cleared separately, we have to optimize the total market cost. In this paper we propose a method to clear energy and reserve markets separately with considering probabilistic approach to determine sufficient amount of required reserve. We use dynamic multi-swarm particle swarm optimizer (DMS-PSO) to solve the proposed model. Constraint handling is based on penalty factors. The IEEE Reliability Test System - 1996 (RTS-96) with 24 buses is used to examine the effectiveness of DMSPSO in solving problems.