Joint Planning and Operation Optimization of Renewable Energy Systems Considering Bi-Directional Electric-Thermal Storage and Conversion

Song Gao, Yuqi Wang, Yang Li (), Tianbao Liang and Kun Liu
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Song Gao: State Grid Shandong Electric Power Company, Jinan 250003, China
Yuqi Wang: State Grid Shandong Electric Power Company, Jinan 250003, China
Yang Li: School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Tianbao Liang: School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Kun Liu: School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Sustainability, 2024, vol. 16, issue 23, 1-19

Abstract: Renewable energy systems have emerged as a crucial research area due to the escalating demand for sustainable energy solutions. With the advancement of renewable energy, the electric-thermal coupling within multi-energy systems has become more intricate. Bi-directional electric-thermal storage and conversion technologies have emerged as a potential solution to address the challenges associated with efficient energy utilization. This paper focuses on the joint planning and operation optimization of renewable energy systems considering bi-directional electric-thermal storage and conversion. The integrated framework for renewable energy systems incorporating a bi-directional electric-thermal storage and conversion unit is designed, and the joint planning and operation optimization method is proposed. Case studies are conducted based on typical annual energy demand and solar radiation characteristics in Beijing, China. Numerical results show that the proposed method can effectively handle the coupling and bi-directional conversion characteristics of electrical and thermal energy, achieving energy cost savings while fulfilling the energy demands of the system. The proposed system has a capital expenditure of USD 261,251.4 and an operating expenditure of USD 177,007.1, which shows a total cost reduction of 12.28% compared to the lithium-ion battery system, providing better economic performance while further enhancing the flexibility of energy utilization. These research findings contribute to the development of more efficient and sustainable renewable energy systems, providing a valuable reference for future research and practical applications within the energy field.

Keywords: renewable energy systems; planning and operation optimization; energy cost savings; electric-thermal storage and conversion; mixed integer linear programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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