Discrete Predefined-Time Distributed Optimization Algorithm for Resource Allocation Problem in Smart Grids

The economic dispatch problem in smart grids is studied in this paper. A discrete predefined-time distributed optimization algorithm is proposed based on predefined-time convergence, which can make reasonable decisions on power generation for each generator within a predefined time. In the optimization algorithm designed in this paper, information exchanged between generators in the communication network is only the information of auxiliary variables, which avoids the problem of privacy data leakage. Finally, a set of numerical simulations is provided to verify the feasibility of the proposed algorithm.