OPTIMAL CONFIGURATION OF CAPACITORS IN RADIAL DISTRIBUTION NETWORK BASED ON GENETIC-IMPROVED SIMULATED ANNEALING ALGORITHM

Along with the continuous enlargement of distribution network the limitation of traditional experience based capacitor configuration reveals the lack or excess of configured capacitors, more seriously, when part of capacitors should be put into operation, they cannot be switched on because of the restriction of local voltage. The authors applied the genetic-simulated annealing algorithm to the solution of optimal capacitor configuration of distribution network and built up corresponding mathematical model, in which the minimized sum of minimum active power loss charge, the purchasing cost and the installation cost was the objective function. In this algorithm the positions where the capacitors were installed and the installed capacity of capacitors were discrete and the proposed algorithm was improved in both aspects of population generation and strategy of colony evolution strategy. The optimal capacitor configuration result of a 30-bus distribution network by the proposed algorithm showed that this algorithm was reasonable and feasible.