Optimal planning of distributed generation in urban power system based on load weight distribution

Taking the huge economical loss on power grid caused by the overwhelming nature disaster into account, a mutil-object model of distributed interconnected-grid generation is established. The model is based on the function of node islanding operation, construction investment and network loss when major accidents occur in electrical power system. Improved Differential Evolution(IDE) algorithm is adopted to resolve the model. This algorithm can enhance the research efficiency and enlarge the research range by means of dynamic characteristics regulation mechanism and chaos researching scheme avoiding the local optimization of basic Differential Evolution. Compared with genetic algorithm and basic differential algorithm, the efficiency and robustness of proposed IDE algorithm is verified through the 33-node distribution system.