Research on Adaptive Control Strategy for Building Air Conditioning Participating in Power Grid Operation

The research shows that large-scale building air conditioning can take into account the comfort of energy consumption while participating in power grid regulation, and has become an important flexible controllable resource for power grid peak regulation in summer. Therefore, this paper constructs an adaptive control strategy model for large-scale building air conditioning to participate in power grid operation with the goal of economic optimization and uses the multi-population genetic algorithm to solve it. Then, considering the factors such as time and capacity, the multi-dimensional accurate evaluation system is proposed and the attribute interval recognition method is used to complete the post-evaluation of the implementation effect of building air conditioning. Finally, the scenario assumes that the air-conditioning load of buildings participates in the actual situation of power grid regulation. Through the selection of adaptive control strategies in different scenarios under three different objectives: economic operation, participating users and temperature comfort, the superiority of the proposed strategy is analyzed and obtained, thus verifying the effectiveness and rationality of the proposed method.