Intelligent distribution network reconstruction method concerning distributed power generation and energy storage unit

The invention discloses an intelligent distribution network reconstruction method concerning a distributed power generation and energy storage unit. The method comprises the following steps: building a multi-target multi-constraint mathematical model for distribution network reconstruction, encoding control variables in the model, then adopting the improved NSGA-II (Nondominated Sorting Genetic Algorithm II) for solution, repeatedly calling a three-phase load flow calculation module in the calculation process, decoding individuals of all generations of population in the NSGA-II, conducting three-phase load flow calculation to the decoded network reconstruction schemes to further obtain the adaptation degree of all the network reconstruction schemes, and feeding back to the NSGA-II for optimal treatment. The multi-target multi-constraint mathematical model built in the invention can simultaneously concern the influences of the distributed power supply and energy storage unit; the adopted multi-supply three-phase forward-backward sweep method can well put the three-phase unbalance characteristic of the distribution network into consideration, and is high in computing speed; the quick NSGA with the out-of-limit rejection strategy can avoid weight setting blindness, can promptly eliminate infeasible solution and is high in computational efficiency.