Optimal operation for residential micro-grids based on load resources classification modelling and heuristic strategy

Residential micro-grid is one of the many forms for network. Generally, energy consumption and patterns of electricity usage is fuzzy to users. From the perspective of user side and based on the generalized demand side resources, this paper proposes a collaborative optimization model including heuristic strategies and intelligent optimization. Based on the classification of controllable residential load, hybrid binary differential evolution algorithm is used to optimize the operation mode of different load and renewable energy utilization ratio. The linkage mechanism among real-time pricing, schedulable loads and users' dissatisfaction is established in the objective function. The model solution method including double cycle synchronization progressive swarm update is proposed. Based on the optimal data of actual residential micro-grid system, the influence of energy storage system operation mode on optimization objects is analyzed and the robustness of proposed model is verified. The model could provide data and theoretical support for application promotion of residential micro-grids. ©, 2015, Power System Technology Press. All right reserved.