XIE Min, DU Yuxin, CHENG Peijun, HU Xintong, LIU Mingbo
This paper proposes the membrane computing method to solve the dynamic economic dispatch problem of power system. For convenient calculation, the multi-constrained dynamic economic dispatch problem is transformed into an unconstrained optimization problem through the quadratic penalty function. As for the three basic elements of the membrane computing method, membrane objects, membrane structure and evolution rules, this method takes the unit generation power during 24 hours as the membrane object, and adopts the cell type nested membrane structure including the parallel basic membranes and the golgi membranes. A set of evolution rules including crossover, mutation, correction and reserve are established in the parallel basic membranes, besides, transition, abstraction and target indication rules are established in the golgi membranes after its activated. Thus the objects in the membranes are constantly evolved and picked over, and the dynamic economic dispatch problem can be optimized and solved. The simulation results on IEEE 39 and IEEE 118-bus test system show that the proposed membrane computing method can effectively solve the optimization problem of the dynamic economic dispatch of power system, which can obtain a better optimal solution and has a more stable results compared with the genetic algorithm and particle swarm algorithm. This proposed membrane computing method has a good application prospect.