Group Search Optimization for Short Term Hydrothermal Scheduling

摘要

This paper presents group search optimization to determine the optimal hourly schedule of power generation in a hydrothermal system.The algorithm is tested on three hydrothermal multi-reservoir cascaded hydroelectric test systems having prohibited operating zones and thermal units with valve point loading. Test results of the proposed approach are compared with those obtained by other evolutionary methods TLBO (teaching learning based optimization), IPSP (improved particle swarm optimization) and IFEP (improved fast evolutionary programming). It is found that the proposed group search optimization based approach is able to provide better solution.