Day-Ahead Scheduling Method for Multi-Type Resource Demand Response for Power Grid Regulation Demand

In order to solve the problem of long solving time caused by the complexity of the optimization model in the optimal scheduling of distribution network, this paper proposes a multi-type resource demand response day-ahead scheduling method for grid regulation demand. Firstly, aiming at the difference of different types of resources participating in the reduction, a multi-type resource adjustable potential evaluation model was proposed. Secondly, a multi-type resource scheduling model was established. With the maximum total profit of the virtual power plant as the objective function, a user incentive cost model was formulated according to the principle that the electricity price was higher when the resource scheduling amount was closer to its upper limit. Then, the knapsack algorithm is used for optimization. The proposed method is tested in the example analysis. The solution results show that the knapsack algorithm can allocate various resources more effectively to meet the regulation needs of the power grid, and reduce the cost and shorten the solving time of the model.