Residential thermostatically controlled appliances for smoothing tie line power based on multiple state-queueing model

Abstract

Currently renewable energy including wind and solar power has been widely applied in microgrid. But its intermittency and randomness bring obvious challenge for the control of microgrid. Being different from the high cost of energy storage system, demand response (DR) aiming at changing the user's electricity consumption behaviors is considered as an efficient tool for energy management. This paper proposes a multiple state-queueing method using three types of residential thermostatically controlled appliances (TCAs) to respond the target of tie line power smoothing. Different types of TCAs are aggregated and managed through different queues, and masses of TCAs switch status is controlled using multiple state-queueing (MSQ) model. Based on a reliable bi-directional communication system, a new weighted fair queueing (WFQ) allocation algorithm is proposed to achieve real time resource allocation. The proposed approach of thermostatically controlled appliances for smoothing the tie line power is assessed through a set of simulation experiments and the numerical result demonstrates its effectiveness.