Combinatorial optimization of micro-sources in standalone microgrid based on chaotic binary particle swarm optimization algorithm
A multi-objective multi-constraint optimization model is built for the operation of standalone microgrid,which takes the minimum operational cost and the minimum grid loss as its multi-objective function,applies the weight assignment to convert the multiple objectives into single objective,considers the constraints of power balance,voltage limit and unit startup/shutdown time,and takes into account the startup/shutdown control strategy of controllable micro-sources in micrgrid.The binary particle swarm algorithm combined with the chaotic optimization algorithm is adopted to solve the model.The simulative results of a typical microgrid model verify the correctness of the proposed algorithm and model,which can be applied to ensure the optimized economic operation of microgrid.
NETL
NSTL
万方数据
维普
