Abstract: Demand side response is an important means of active distribution network optimization scheduling. Aiming at the problem of poor energy scheduling in power grid operation, firstly, based on the uncertainty characteristics of demand side response, introducing non-economic factors and characteristics of consumer psychology, the active distribution network optimization is modeled with the minimum power grid operation cost and environmental cost as the objective function; secondly, aiming at the premature problem of sparrow algorithm, latin hypercube sampling is used to improve the initial population quality, sine factor is introduced to improve the local search ability of the algorithm, and mutation operation is implemented to optimize the global search accuracy of the algorithm; finally, the improved sparrow search algorithm is applied to the solution of the active power grid optimization model. The simulation results verify the accuracy of the proposed model and the efficiency of the algorithm, and effectively solve the problem of poor energy scheduling. 

Key words: demand side response')">

demand side response, improved sparrow search algorithm, active distribution network, non- economic factors