Demand Response Optimization Strategy for Multi-Level Intelligent Regulation under the Power Internet of Things

With the power internet of things developing, China pays more and more attention to manage and regulate power demand side load resources. In order to improve the management and control of the demand-side adjustable load resources by the power grid, an optimal control strategy is proposed to realize that through multi-level interconnection and flexible management and control. In this hierarchical structure, the load aggregator is responsible for the overall control of the regulation tasks. The regional agents sign contracts with users to promote them to participate actively and ensure the completion of demand response services. They also adjust the electricity price to ensure the user satisfaction and maximize the revenue of load aggregators. Finally, the comparative analysis of numerical examples verifies that the proposed demand response optimization strategy can meet the demand of power grid regulation and achieve revenue maximization of load aggregators, under the premise of ensuring user satisfaction.