A Fully Distributed Economic Dispatch Strategy for Integrated Electrical and Heating Systems Considering Flexible Loads

Due to the fluctuation of renewable energy and the randomness of loads, it has posed significant challenges to the economic operation of integrated energy systems. To address the drawbacks of traditional centralized optimization algorithms in solving the economic dispatch problem of integrated energy systems, a fully distributed optimization algorithm based on multi-agent double-consensus is proposed. Then taking the incremental cost of production units and the incremental benefits of flexible loads as consensus variables, two mutually coupled consensus protocols are constructed, and the economic dispatch problem is solved by using the principle of the equal incremental cost criterion. Through simulation analysis, it has been verified that the consensus algorithm is effective in resolving the economic dispatch problem of integrated electrical and heating systems with flexible loads in a fully distributed mode.