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Research on Multi-Time Scale Optimization Strategy of Cold-Thermal-Electric Integrated Energy System Considering Feasible Interval of System Load Rate

Bin Ouyang, Zhichang Yuan, Chao Lu, Lu Qu and Dongdong Li
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Bin Ouyang: Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Zhichang Yuan: Department of Electrical Engineer, Tsinghua University, Beijing 100084, China
Chao Lu: Department of Electrical Engineer, Tsinghua University, Beijing 100084, China
Lu Qu: Department of Electrical Engineer, Tsinghua University, Beijing 100084, China
Dongdong Li: Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Energies, 2019, vol. 12, issue 17, 1-27

Abstract: The integrated energy system coupling multi-type energy production terminal to realize multi-energy complementarity and energy ladder utilization is of great significance to alleviate the existing energy production crisis and reduce environmental pollution. In this paper, the topology of the cold-thermal-electricity integrated energy system is built, and the decoupling method is adopted to analyze the feasible interval of load rate under the strong coupling condition, so as to ensure the “source-load” power balance of the system. Establishing a multi-objective optimization function with the lowest system economic operation and pollution gas emission, considering the attribute differences and energy scheduling characteristics of different energy sources of cold, heat and electricity, and adopting different time scales to optimize the operation of the three energy sources of cold, heat and electricity, wherein the operation periods of electric energy, heat energy and cold energy are respectively 15 min, 30 min and 1 h; The multi-objective problem is solved by standard linear weighting method. Finally, the mixed integer nonlinear programming model is calculated by LINGO solver. In the numerical simulation, the hotel summer front load parameters of Zhangjiakou, China are selected for simulation and compared with a single time scale system. The simulation results show that the multi-time scale system reduces the economic operation cost by 15.6% and the pollution gas emission by 22.3% compared with the single time scale system, it also has a wider feasible range of load rate, flexible time allocation, and complementary energy selection.

Keywords: cold-thermal-electricity integrated energy system; multi-energy complementation; feasible interval of load rate; multi-objective; multi time scales; optimize operation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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