基于机会约束规划的含多微网主动配电网分布式优化管理OA北大核心CSTPCD

To achieve global stability and the optimal economic cost of a system after integrating multiple microgrids(MG)into a distribution network,this paper proposes a distributed optimization management model for an active distribution network(ADN)with multiple microgrids based on chance-constrained programming.On the microgrid side,the objective is to minimize the operating cost of each microgrid,whereas on the distribution network side,the network loss and new energy consumption of the system are optimized and adjusted.Considering the uncertainty of wind power and photovoltaic power,the modeling of the distribution network with multiple microgrids is solved through analytical target cascading(ATC).Subsequently,the distributed model is equivalently replaced through interactive power,thus decoupling the operation between distribution networks with multiple microgrids and distributed solutions for different entities.While the privacy of each entity is protected,the conservatism of conventional constraints is overcome,and energy is allocated reasonably.The optimization results for different operating conditions of the system were analyzed using chance-constrained programming with various exceedance probabilities.An improved IEEE 33-node system was used for simulation verification.Numerical analysis shows that the distributed optimization model is feasible,and the active distribution network system with multiple microgrids under this model has good economic and operational reliability.