Multi-objective Optimization Scheduling of Micro-grid with Energy Storage under Time-of-Use Price Mechanism

During the operation of the microgrid, because the output power of some distributed power sources is fluctuating and intermittent, it will affect the reliability and stability of the power supply of the system. Therefore, it is particularly important to study the optimal dispatch of the microgrid. Proposed an optimal dispatch strategy considering energy storage status under time-of-use electricity price mechanism, took the lowest economic cost of system operation, the lowest environmental pollution and the highest power supply reliability as objectives. A combination weighting method that combines AHP and entropy method to achieve the unity of subjective and objective calculations is proposed to calculate the weight coefficients of each sub-objective. The multi-objective model is converted into a single-objective model and the improved cuckoo algorithm is used to solve the established model. Under the grid-connected operation mode, study the optimized output characteristics of controllable distributed micro-sources, energy storage and the interaction with the large power grid. The simulation results show that the optimal scheduling strategy considering the time-of-use electricity price and energy storage status reduces the total operating cost of the system and verifies the effectiveness of the improved cuckoo algorithm.