ADHDP-Based Housing Energy Management For Two Housing Units With Mobile Storage

摘要

In this paper, a new optimal learning control scheme for discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) approach is developed to obtain the optimal control law for two-house energy systems. First, the operation modes of the battery are analyzed, and the problem statement is carried out. Next, according to the data of the users, action dependent heuristic dynamic programming (ADHDP) is developed to obtain the optimal control law. Numerical results are given to illustrate the performance of the present method.