Optimal Operation of a Combined Heat and Power System Considering Real-time Energy Prices

IEEE Access

Da Xie¹  Yupu Lu¹  Guojie Li¹  Junbo Sun¹  Chenghong Gu² 

[1] Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Electronic and Electrical Engineering, University of Bath, Bath, U.K.;

关键词: Combined heat and power (CHP);    operation optimization model;    heat to electricity (H2E) ratio;    maximum benefits;    dynamic programming;   

DOI  :  10.1109/ACCESS.2016.2580918

来源: DOAJ

【 摘 要 】

The combined heat and power (CHP) systems can provide heat and electricity simultaneously. They are promising in the future energy landscape because of high efficiency and low emissions. This paper proposes a new operation optimization model of CHPs in deregulated energy markets. Both CHPs' overall efficiency and heat to electricity ratio are closely linked with the loading level, which are dynamically determined in this paper. A discrete optimization model is then proposed to determine the optimal real-time operation strategies for the CHPs. The optimization problem is solved by the interior point method with discrete time intervals, in which the discrete optimal operation points can be identified effectively. This step projects the potential operation strategies that could produce maximum benefits. Finally, a dynamic programming algorithm is developed to maximize the profits of CHPs through dynamically modifying the operation strategies projected in the previous step considering transient constraints. The proposed new methodology is demonstrated on a 1-MW CHP system with real-time data.

【 授权许可】

Unknown