Multi-objective power supply capacity evaluation method for active distribution network in power market environment

Abstract Aiming at the power supply capability evaluation under the background of controllable source-network-load in power system, a multi-objective power supply capability evaluation method for active distribution network considering the active control cost is proposed. Firstly, uncertain factors such as renewable distributed generations’ output and demand response are modeled. Then, the maximization of regional power supply capacity and the minimization of active control costs are taken as the optimization objective from the perspective of both the planning and operation. Considering the constraints of distributed generations output ability, the network topology, load controllable levels, and so on, a multi-objective optimization uncertainty model for the active distribution network is constructed. In addition, the crossover operator and the selection strategy of NSGA-II are improved based on the non-uniform arithmetic crossover and phase-out strategy, which is used to solve the proposed optimization model. The Pareto optimal solution set obtained by the multi-objective optimization algorithm has a large scale and contains a wealth of information, and a method based on entropy-TOPSIS is also provided to select one eclectic solution set by the operator. Finally, the effectiveness of the proposed evaluation method and the performance of the improved algorithm are verified by the improved IEEE 33-bus distribution system and one of China’s actual power grid.