Demand Response Strategy for the Smart Home with the Distributed Photovoltaic Generation

With the gradual development of the power grid in the direction of intelligence, the rigid demand for auxiliary resources included in the dispatch and control range of the power system in the past is increasing. The intelligent power utilization system is the key to solve the problem of distribute individual user in the unified dispatch of the grid center. In this paper, a smart electricity consumption algorithm based on user-side demand is proposed. This method can ensure the user's right of independent choice on the basis of satisfying demand response constraints, realizing the interaction of multiple sources and loads to a certain extent. The main task of this paper is to consider the influence of distributed photovoltaic power on the algorithm and put user selection the first under the constraints of satisfying demand response. Firstly, the model of the intelligent power consumption system is introduced, and the classification of different loads under system control and its power supply model are given. Then, the paper proposes the concept of user choice, considering the calculation method of the priority of household appliances from multiple angles, which is the core of the control system algorithm. The control algorithm not only considers the influence of distributed photovoltaic power sources connected to the power consumption system, but also considers that user can independently select the working mode of distributed photovoltaic power sources. Finally, in the process of designing the control algorithm, the concept of user interruption is put forward, which is that the user has the right to first execute his own decision and jump out of the algorithm under the condition of demand response. In the subsequent simulation verification, the paper carried out the demand response power conflict experiment with and without the distributed photovoltaic power sources. The simulation results verify that distributed photovoltaic power sources can improve the comfort of user under demand response conditions. When there is no distributed photovoltaic power, the strategy with user interruption algorithm and the strategy without user interruption algorithm are respectively implemented. This comparative experiment verifies that the interruption algorithm improves the user's right to choose.