Decentrailised control for combined heat and power system in energy community

Abstract

The combined heat and power systems seeks to maximize the value between heat and electricity. To integrate CHP system into local energy trading whist optimally utilize low carbon resources in the local energy community, the centralized optimization model suffers from challenges in twofold: i) additional communication devices between prosumers, and ii) large scale optimization model that can handle the large volume of controllable components (battery storage, EV, fuel cells) engaged. Therefore, this paper attempts to achieve optimal operation of the CHP system in local energy community. To reduce the computational complexity, this paper proposes a decentralized energy management system to achieve both benefits of individual prosumers as well as the system level targets. Results indicate the proposed system can: i) largely reduce energy cost for prosumers; ii) the proposed method can achieve system level targets, i.e., system peak reduction, in a decentralized way.