Abstract—The development of combined cooling, heating, and power (CCHP) microgrids using distributed cogeneration equipment and renewable energy sources has drawn considerable research attention. In this study, we propose an interval mixed-integer linear programming (IMILP) dispatching model for supporting the economic dispatch of a CCHP microgrid under uncertainties. Our model is based on the interval programming method, where uncertainties can be incorporated and communicated into the economic dispatch problem using interval values. The proposed IMILP dispatching model is decomposed into two sets of deterministic sub-models, f – and f +, which are solved sequentially. We use a case study of a hotel in China to demonstrate how this model can be applied to support economic dispatch decisions for a CCHP microgrid. Simulation results indicated that load and PV power uncertainties mainly affect the dispatching results of the power exchange, gas boiler and electricity chiller, while the power generation unit is consistent under different uncertainty levels. The obtained dispatching results can provide more flexibility for decision makers by generating alternative decisions for CCHP microgrid dispatching under uncertainties.
Index Terms—CCHP, economic dispatch, interval programming, microgrid, uncertainty.
Zhao Luo, Wei Gu, Zhihe Wang, and Yiyuan Tang are with the School of Electrical Engineering, Southeast University, Nanjing, Jiangsu 210096, China (e-mail: waiting.1986@live.com).
Song Gao is with Jiangsu Electric Power Company, Nanjing, Jiangsu 210024, China.
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Cite:Zhao Luo, Wei Gu, Song Gao, Zhihe Wang, and Yiyuan Tang, "Optimal Operation of a CCHP Microgrid Using Interval Mixed-Integer Linear Programming," Journal of Clean Energy Technologies vol. 5, no. 3, pp. 174-182, 2017.
