Optimal Scheduling and Multi-objective Assessment of CCHP system

With increasing demand of energy, air pollution is on rising. To mitigate this issue, combined production of cooling, heat, and power (CCHP) system getting worldwide attention due to its effectiveness. A case study recommends that CCHP system should be run under the optimal scheme. This paper focuses on the optimal scheduling and analysis of CCHP system in comparison to the separate production of cooling, heat, and power (SPCHP) system. In this article, two different model designs are proposed to ensure electric, cooling and heating loads in summer and winter to maximize the energy saving by reducing the total cost and carbon dioxide emission. An interior point (IP) based algorithm is designed in Matlab for optimal energy flow. The IP is a fascinating method because of its convergence time, robustness, ease of handling the inequality constraints and few numbers of iterations to the optimum power flow problems. Furthermore, the analysis is performed in order to exhibit how the economic, energetic and environmental behavior of CCHP system changes under different conditions as compared to separate production of cooling, heat, and power (SPCHP) system. Finally, results show that overall performance of CCHP system is better than SPCHP systems.