Fuzzy dynamic programming for robust direct load control

This paper develops a fuzzy dynamic programming (FDP) approach to solving the direct load control (DLC) problem of power system air conditioner loads (ACLs). The interrupted capacities of the ACLs and the system load demands are all regarded as fuzzy variables. The scheduling of the DLC and the unit commitment (UC) is integrated into the FDP structure to reduce the system peak load as well as the total operating costs, The solution approach has been practically tested on the Taiwan power 38-unit system with 15 ACLs groups. In the tests, the Monte-Carlo simulation technique is employed to assess the robustness of the solution obtained from the proposed FDP approach for various load uncertainties. The results are given and compared to those without consideration of the load uncertainties