Research on Large-Scale Multi-Objective optimization Algorithm with Irregular Frontier for Operation Dispatching of New Generation Energy System Integration
Xiaozhu Li, Weiqing Wang · 2020
The optimization technology of the complex dispatching model for the new generation Energy Internet system is one of the key technologies restricting its development. In view of the characteristics of complex dispatching model, such as multi-objective, nonlinear, nonconvex, strong coupling, strong constraint, large-scale decision variables and irregular Pareto front shape, we propose an algorithm for solving largescale multi-objective optimization problems with irregular front. The algorithm uses the idea of divide and conquer to deal with different types of decision variables and constraints, aiming to reduce the search space of large-scale multi-objective optimization problems, ensure the feasibility of solutions and improve the effectiveness of the algorithm. Finally, the competitiveness of proposed algorithm is verified by 26 test problems in 3 common sets, and the feasibility is verified by the optimal dispatching problem of multi energy system with large-scale renewable energy integrated by the coupling of IEEE33 node distribution network and CCHP system.