Design of Multi-Objective Optimal Control Algorithm for Flexible Load of Urban Electric Warehouse Based on Model Prediction

FL (flexible load) refers to the load that can change the power consumption time or load size to match the DR strategy of power operators, so as to obtain economic benefits. Load management improves the load curve by actively adjusting the user load, which is an important method of demand side response. Based on the model-based prediction, this paper designs the multi-objective optimal control algorithm of urban electric warehouse FL. The system optimization model consists of the objective function, decision variables and constraints that need to be solved in this paper. GA (Genetic Algorithm) is adopted as the solution algorithm, and the FL control model of urban electricity warehouse is solved and calculated by establishing a joint optimization program of Matlab and Simulink. There is a certain discrepancy between the predicted power and the actual power, and the average absolute percentage error of the power is 8.12 %, which meets the requirements. Through the scheduling of time-of-use electricity price and FL, the fluctuation of new energy is effectively absorbed and matched in most time periods, thus verifying the effectiveness and feasibility of the model.