Research on Optimal Scheduling Strategy of Adjustable Load Based on Particle Swarm Optimization

In recent years, the number of flexible loads on the demand side is increasing rapidly. Adjustable loads participate in the flexible interaction of the power grid, which not only improves the overall energy efficiency of the power grid, but also reduces the electricity cost of users. In this paper, the optimal dispatching strategy of the adjustable load resources participating in the power grid interaction is studied. Firstly, the optimal regulation model of adjustable load is constructed, which takes the minimum operation cost of the system as the objective and considers the constraints of power balance and adjustable load regulation. Then, the improved particle swarm optimization algorithm is used to calculate the model, and the optimal scheduling scheme of each group of devices in the scene is obtained. Finally, a microgrid with captive power plant and energy storage system is taken as an example to verify the effectiveness of the proposed optimization model.