Optimised Two-Layer Configuration of SESS-CCHP System Considering Wind and Light Output Correlation and Load Sensitivity

Mingxi Cai, Tiejun Zeng (), Linjun Zeng, Xinying Zhou and Xin Huang
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Mingxi Cai: School of Electrical Engineering, Nanhua University, Hengyang 421001, China
Tiejun Zeng: School of Electrical Engineering, Nanhua University, Hengyang 421001, China
Linjun Zeng: School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410000, China
Xinying Zhou: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410000, China
Xin Huang: School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410000, China

Energies, 2024, vol. 17, issue 18, 1-19

Abstract: With the gradual depletion of fossil energy sources and the diversification of users’ energy demand, combined cooling, heating and power (CCHP) microgrids have become a hot technology to improve energy efficiency and promote efficient and synergistic energy operation. However, the uncertainty and correlation of wind power and photovoltaic (PV) outputs have posed a great challenge to the reliability of CCHP system operation, so CCHP systems are often equipped with energy storage devices to improve system flexibility to ensure the reliability of energy supply. However, system-owned reserves still have shortcomings such as high investment O&M costs and large space requirements. As an emerging model, “shared energy storage” can reduce the investment pressure of users and open up new ways for the economic and stable operation of CCHP systems. Therefore, based on the scenario of wind and solar power correlation and considering different types of load flexibility, this paper proposes to construct a shared energy storage station (SESS)-CCHP double-layer synergistic optimal allocation model. The model incorporates the consideration of the actual operation strategy of the CCHP system in the planning stage of energy storage. An example analysis shows that SESS reduces the total operating cost of the CCHP system by 25.96% and improves the new energy consumption rate by 10.46% compared with no energy storage. Compared with the system independently configured with energy storage, the cost saving is 2.14%, thus validating the effectiveness of the proposed model.

Keywords: CCHP; shared energy storage station; wind and solar output correlation; load flexibility; two-tier synergistic optimal allocation (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: 2024
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