Research on Highway Self-Consistent Energy System Planning with Uncertain Wind and Photovoltaic Power Output

Ruifeng Shi, Yuqin Gao, Jin Ning, Keyi Tang and Limin Jia ()
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Ruifeng Shi: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Yuqin Gao: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Jin Ning: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Keyi Tang: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Limin Jia: China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China

Sustainability, 2023, vol. 15, issue 4, 1-30

Abstract: Highways are a critical consumer of energy. The integration of the highway and the energy system (ES) is a proven method towards carbon neutrality. The increasing energy demands of highway transportation infrastructure and the development of distributed energy and energy storage technologies drive the coupling between the highway system (HS) and the energy supply network, which is becoming tighter than ever before. Many scholars have explored the mode and path of integrated transportation and energy development. However, the energy and transportation systems’ coupling relationship and the collaborative planning scheme have not been thoroughly studied. Facing the increasing interconnection between transportation and energy networks, as well as addressing the demand for clean energy in highway transportation effectively, this paper proposes a highway self-consistent energy system (HSCES) planning model integrating uncertain wind and photovoltaic (PV) power output, so as to analyze the energy supply mode of the HS and determine the multi-energy capacity configuration of the self-consistent energy system (SCES). Firstly, the mathematical model related to each micro-generator of the SCES and the load aggregation scenario of the HS is established. Secondly, considering the uncertainty of renewable energy, this paper focuses on wind and PV power generation, and abatement technology, under uncertain conditions to ensure the best solution for reliability. Thirdly, taking the economy, reliability and the renewable energy utilization rate of the system into account, the system planning model is established under the condition of ensuring the system correlation constraints. Finally, the proposed method is validated using a section of the highway transportation system in western China. The results show that the hybrid energy storage planning scheme can cause the system’s renewable energy utilization rate to reach 99.61%, and the system’s power supply reliability to reach 99.74%. Therefore, it is necessary to carry out coordinated planning while considering the characteristics of the HS and the ES, which can minimize the planning cost of a HSCES, reduce the waste of wind and solar energy, and ensure the reliability of the power supply for the HS.

Keywords: energy transportation integration; highway self-consistent energy system; optimal configuration; uncertainty modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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