A Model Reference Adaptive Control Strategy for Interruptible Load Management

Abstract

This paper presents a model reference adaptive control (MRAC) strategy for interruptible load management (ILM). The proposed MRAC strategy consists of fuzzy dynamic programming (FDP) and priority-based heuristics inference rule (PBHIR) to offer a flexible solution and a real-time adjusting scheme for the ILM problem. The customers' requirements can be dealt with by the fuzzy variables, and the optimal or near optimal schedule of interrupted load can be acquired through DP search scheme. Additionally, a PBHIR is further employed as a regulator for the MRAC to modulate the schedule of the interrupted load in real time. The influences of the load variations and forecasting errors on the outputs of the FDP can be eliminated by the MRAC. The proposed MRAC strategy is tested practically on the Dar-Gun substation in Taiwan power (Taipower) system. The test results demonstrate the feasibility and effectiveness of applying the proposed method to the ILM problem.