Robust Energy Management of High-Speed Railway Co-Phase Traction Substation With Uncertain PV Generation and Traction Load

Liu, Yuanli; Chen, Minwu; Cheng, Zhe; Chen, Yinyu; Li, Qunzhan

doi:10.1109/tits.2020.3046696

Cited by 41 publications

(20 citation statements)

References 34 publications

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“…An optimal energy management model for CCTPSs is proposed in [40] with an economic saving point of view. Liu et al [41] presented a multistage robust model in which the uncertainties of PV and traction load have been considered. However, in references [40,41], the VUR is just taken into account as a constraint, but not as a goal.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Liu et al [41] presented a multistage robust model in which the uncertainties of PV and traction load have been considered. However, in references [40,41], the VUR is just taken into account as a constraint, but not as a goal. Table 1 provides a summary of the literature review.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, regarding the PQ problems, which could result in penalty charges for ERSs [12], the independence index of CCTPS has been introduced and considered as the second objective. erefore, unlike references [10,[34][35][36][37][38][39][40][41], the proposed model improves the independence of the CCTPS from the external grid because TSSs can exchange power and utilize the dispatchable resources of other TSSs. Moreover, compared to references [35][36][37][38][39], the three-phase VUR is taken into account, and unlike references [40,41], the VUR is considered as the third objective of the proposed model.…”

Section: Contributions and Papermentioning

confidence: 99%

“…erefore, unlike references [10,[34][35][36][37][38][39][40][41], the proposed model improves the independence of the CCTPS from the external grid because TSSs can exchange power and utilize the dispatchable resources of other TSSs. Moreover, compared to references [35][36][37][38][39], the three-phase VUR is taken into account, and unlike references [40,41], the VUR is considered as the third objective of the proposed model. According to the simulation results, the proposed model will improve simultaneously the VUR and the independence of CCTPS without any increase in operation cost, which is not addressed by previous studies.…”

Section: Contributions and Papermentioning

confidence: 99%

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Multistage Multiobjective Optimization for Optimal Energy Management of the Connected Cophase Traction Power System

Akbari

Fazel

2022

International Transactions on Electrical Energy Systems

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This study presents a multiobjective energy management model for the connected cophase traction power system (CCTPS). Each traction substation (TSS) includes a power flow controller (PFC), energy storage systems (ESS), wind turbine, and PV modules beside a single-phase traction power transformer. Also, in order to exchange the power between the adjacent TSSs, power transfer controllers (PTCs) are used. The proposed energy management model is formulated as a multistage multiobjective optimization problem with a lexicography approach. In the first stage, the cost of purchased energy is minimized. In the second stage, the independence of the CCTPS from the external grid improved. Finally, minimizing the voltage unbalanced ratio (VUR) of CCTPS is considered as the third stage goal. According to the simulation results, utilizing GAMS optimization software, the proposed model will decrease remarkably VUR and dependency of CCTPS without any increase in operation cost.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Contributions and Papermentioning

confidence: 99%

Section: Contributions and Papermentioning

confidence: 99%

See 2 more Smart Citations

Multistage Multiobjective Optimization for Optimal Energy Management of the Connected Cophase Traction Power System

Akbari

Fazel

2022

International Transactions on Electrical Energy Systems

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“…Furthermore, a comprehensive framework was developed for the AI applications in high-speed rail transportation, considering operational efficiency and customer comfort criteria. Along with the aforementioned efforts, many other studies applied various AI-based methods, optimization, simulation, and other operations research techniques to address different decision problems and issues that are related to train operations, including energy and power sources [80][81][82][83][84][85][86][87][88][89][90][91][92][93][94][95][96], train speed control and trajectory control [97][98][99][100][101][102][103][104][105][106], timetable synchronization and optimization [107][108][109][110][111][112][113][114][115][116][117], as well as intelligent maintenance and prognostics [118][119][120][121][122][123]…”

Section: Figure 16 Iiot-enabled Technologies For Rail Transportationmentioning

confidence: 99%

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

et al. 2021

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Automation is expected to effectively address the growing demand for passenger and freight transportation, safety issues, human errors, and increasing congestion. The growth of autonomous vehicles using the state-of-the-art connected vehicle technologies has paved the way for the development of passenger and freight autonomous trains (ATs), also known as driverless trains. ATs are fully automated trains that are centrally controlled using advanced communication and internet technologies, such as highspeed internet (5G) technology, Internet of Things, dedicated short range communications, digital video detection cameras, and artificial intelligence-based methods. The current study focuses on a detailed up-todate review of the existing trends, technologies, advancements, and challenges in the deployment of ATs with a full automation level in rail transportation. The basic AT features along with the key technologies that are instrumental for the AT deployment and operations are discussed in detail. Furthermore, a comprehensive evaluation of the state-of-the-art research efforts is performed as well with a specific emphasis on the issues associated with the AT deployment, user perception and outlook for ATs, innovative concepts and models that could be used for the AT design, and the AT operations at highway-rail grade crossings. Based on the conducted review, this study determines the main advantages and challenges from the AT deployment. The identified challenges have to be collaboratively addressed by the relevant stakeholders, including railroad companies, researchers, and government representatives, to facilitate the AT development and deployment considering the perspectives of future users and without affecting the safety level.INDEX TERMS Autonomous trains, driverless trains, connected vehicles, autonomous vehicles, automation trends, automation challenges.

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Grounding Grids Corrosion Evaluation of Electrified Railway Based on Two‐Stage Optimization Algorithm

Chen,

Zhang,

Han

et al. 2024

IEEJ Transactions Elec Engng

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Due to the complex soil environment and continuous traction ground return, the electrified railway grounding grids (ERGG) are easily susceptible to corrosion, which seriously threatens the safe operation of the traction power supply system (TPSS). In this paper, the corrosion evaluation model is presented based on electrical network theory. In order to solve the equations with multi‐variable and high‐dimension characteristics of the model, a two‐stage optimization (TSO) algorithm is proposed. In the first stage, the CPLEX solver (CPLEX optimizer produced by IBM) is adopted to obtain the resistance value of multiple branches, which provides the initial solver and search scope for the next step. In the second stage, the particle swarm optimization (PSO) algorithm is used to determine the optimal solution so as to minimize the node potential difference. Finally, a corrosion experimental system is designed and established to verify the effectiveness of the above algorithm. The results show that TSO algorithm can accurately diagnose the corrosion state of grounding conductors and adapt to the various scenarios of ERGG. © 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Robust Energy Management of High-Speed Railway Co-Phase Traction Substation With Uncertain PV Generation and Traction Load

Cited by 41 publications

References 34 publications

Multistage Multiobjective Optimization for Optimal Energy Management of the Connected Cophase Traction Power System

Multistage Multiobjective Optimization for Optimal Energy Management of the Connected Cophase Traction Power System

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

Grounding Grids Corrosion Evaluation of Electrified Railway Based on Two‐Stage Optimization Algorithm

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