Energy Storage Configuration Optimization Method for Industrial Park Microgrid Based on Demand Side Response

With the development of the industrial Internet, China's traditional industrial energy industry is constantly changing in the direction of digitalization, networking, and intellectualization. The energy dispatching system enabled by industrial Internet technology integrates more advanced information technology, which can effectively improve the dispatching and management efficiency of the system compared with the traditional energy dispatching system. However, there are still many problems with energy management and scheduling in the existing industrial enterprises. In this paper, the objective function is to minimize the operating cost. The constraints are to meet the energy needs of users and the limits of energy storage capacity and power. The fitness-related optimization algorithm is adopted to solve the problem, and optimal scheduling is completed. Taking the operation cost of the system as the objective function, the energy demand of users, the power of equipment and the capacity of energy storage devices as the constraints, a complete integrated energy optimal dispatching operation is realized. Compared with the single energy system, the system can not only better meet the various energy needs of users, but also improve the level of renewable energy generation and consumption, and smooth the load demand curve. Experiments verify that the microgrid energy load curve and the peak and valley electricity price are considered to participate in the demand side response. The output of each piece of equipment is adjusted to further obtain better economic and environmental benefits.