Power Optimization Scheduling Strategy for Multi-Household Energy Management System Considering Load Aggregators

With the widespread penetration of distributed photovoltaic power generation on the user side, the popularity of independent photovoltaic systems for homes makes the demand for optimal scheduling of home energy management systems increasingly prominent. However, due to the small scale of power consumption and insufficient flexible load capacity, it is difficult for single household users to efficiently consume photovoltaic power generation and participate in the demand response of the power market. Therefore, this paper proposes a multi-household power cooperative optimal scheduling model considering load aggregators, which integrates scattered demand response resources of small and medium-sized household users through load aggregators, establishes a comprehensive scheduling framework aiming at economic optimization, coordinates multi-household photovoltaic power generation, energy storage equipment and flexible load resources, and introduces a subsidy mechanism to encourage users to participate. Through the analysis of examples, the model significantly reduces the cost of power consumption for household users and the cost of power purchase for load aggregators through the centralized optimal scheduling of load aggregators, and realizes the flexible interaction and efficient utilization of user-side resources.