Interactive gravitational search algorithm and pattern search algorithms for practical dynamic economic dispatch

摘要

Dynamic economic dispatch strategy consists in determining the output of generation of each unit withrnrespect to predicted load demand over a period of time satisfying the practical unit constraints. In dynamicrnoperation of units, ramp rates (ramp down limit and ramp up limit) are the important constraints that affectrnconsiderably the life of the rotor of the generating unit. Recently, a new category of metaheuristic optimization methods has been introduced and attracted many researchers and expert engineers due to their capacity and efficiency tofind the near global optimal solution. In this work, a new optimization technique knownrnas gravitational search algorithm (GSA) is proposed and adapted in coordination with pattern searchrnalgorithm (PS) to solving the dynamic economic dispatch considering valve point loading effects, ramprnrates of generating units and power losses. The proposed hybrid method named communicated GSA–PSrnallows balancing between exploitation and exploration capability, which makes agents to react more byrnchanging experiences with local search mechanism. The proposed approach has been examined and appliedrnto three practical power systems, 40 generating units to solving the static economic dispatch, 5 generatingrnunits, and 10 generating units considering ramp rates limits, valve point effect, and transmission powerrnlosses. From the different case studies, it is observed that the results compared with the other recent techniques demonstrate the particularity of the proposed approach and show clearly its effectiveness to solvernpractical dynamic ED problem.