Optimized Dispatch of Regional Integrated Energy System Considering Wind Power Consumption in Low-Temperature Environment

Liangkai Li (), Jingguang Huang, Zhenxing Li and Hao Qi
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Liangkai Li: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Jingguang Huang: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Zhenxing Li: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Hao Qi: College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China

Energies, 2023, vol. 16, issue 23, 1-19

Abstract: The wind abandonment phenomenon of cogeneration units in regional integrated energy systems (RIES) under the operation mode of “heat for electricity” and the improvement in the operation efficiency of the energy storage system under a low-temperature environment are problems that need to be solved urgently. To this end, a regional integrated energy system optimization scheduling method based on fine energy storage and wind power consumption is proposed in the paper. First, a fine energy storage model more adapted to a low-temperature environment is established on the power side to accurately simulate the actual working state of the energy storage components and quantify the uncertainty of the wind power output using the conditional value-at-risk (CVaR) theory. Then, a combined heat and power demand response mechanism is introduced on the load side to reduce the peak-to-valley difference in the heat and power loads, it is realized to promote the system’s consumption of wind power without increasing the transmission power of the contact line. Finally, the example is solved on the MATLAB platform with the objective of minimizing the total cost of the RIES optimal dispatch. The simulation results show that the proposed model is not only more adaptable to a low-temperature environment compared with the traditional model but also reduces the overall cost of the system by 2.58% while realizing the complete consumption of wind power. This innovative study provides a feasible and efficient solution to improve the performance of integrated energy systems, especially the operation capability in extreme environments.

Keywords: regional integrated energy system; fine energy storage model; wind power consumption condition; value at risk; demand response mechanism (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: 2023
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