Joint Optimization of Thermostatically Controlled Appliance and Electric Vehicle Based on Adaptive Dynamic Programming

There are time-varying parameters within the performance index function and dynamic model of home energy optimization (HEO) which contains thermostatically controlled appliances (TCAs) and electric vehicles (EVs).And TCAs and EVs may be off-line.Adaptive dynamic programming (ADP) can not be applied directly to the optimization.In this paper, these problems are solved by transformation of the performance index function and dynamic model, and ADP is applied to the optimization with guarantees of convergence and optimality.The performances of the transformation are given in numerical results. Problem FormulationThe HEO system in the paper includes a controller, HVACs, EVs, and other home appliances.The HVACs and the EVs are controlled by the controller.The other home appliances are uncontrollable.