IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p15019-d1262383.html
   My bibliography  Save this article

Research on Performance Evaluation Index System and Assessment Methods for Microgrid Operation in the Port Area

Author

Listed:
  • Xianfeng Xu

    (School of Energy and Electrical Engineering, Chang’an University, Xi’an 710016, China)

  • Ke Wang

    (School of Energy and Electrical Engineering, Chang’an University, Xi’an 710016, China)

  • Yong Lu

    (School of Energy and Electrical Engineering, Chang’an University, Xi’an 710016, China)

  • Yunbo Tian

    (School of Energy and Electrical Engineering, Chang’an University, Xi’an 710016, China)

  • Liqun Hu

    (School of Highway, Chang’an University, Xi’an 710016, China)

  • Ming Zhong

    (Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China)

Abstract

The vertical integration of ‘Generation-Grid-Load-Storage’ in microgrids for port areas is a prevailing trend. To comprehensively and accurately assess the operational efficiency of microgrids and develop an effective means for promoting the sustainable and scalable development of microgrids in port areas, an applicable evaluation index system and comprehensive evaluation method are essential. Addressing the issues of subjectivity in quantitative evaluation decision-making for different configuration and allocation schemes in port areas and the lack of a comprehensive evaluation system for microgrids in port areas, this study aims to scientifically and reasonably evaluate and select the most optimal configuration and energy dispatching schemes for microgrids in port areas. In this paper, the performance indicators of microgrids in port areas are hierarchically structured and classified into five dimensions: economic, energy efficiency, environmental, system reliability, and safety. A comprehensive evaluation index system for microgrid systems in port areas is constructed. Furthermore, an evaluation model for microgrid operational efficiency based on improved CRITIC-TOPSIS is proposed. The coefficient of variation is introduced to measure the relative strength and relative variation of indicators among dimensions, reducing the impact of correlation between indicators and improving the accuracy and objectivity of the evaluation results. Then, the TOPSIS method is used to calculate the comprehensive evaluation values and rank the optimal microgrid schemes in port areas. Finally, the feasibility of the evaluation index system and evaluation method for the operational efficiency of microgrids in port areas is verified through case analysis. The results indicate that the evaluation method based on improved CRITIC-TOPSIS can objectively and quantitatively evaluate the operational efficiency of microgrids in different port areas. The proposed method reasonably avoids the strong subjectivity in weight calculation by traditional expert judgment during the planning phase of microgrids in port areas, providing a new and scientifically effective engineering evaluation and analysis method for the evaluation of microgrid operational efficiency in port areas.

Suggested Citation

  • Xianfeng Xu & Ke Wang & Yong Lu & Yunbo Tian & Liqun Hu & Ming Zhong, 2023. "Research on Performance Evaluation Index System and Assessment Methods for Microgrid Operation in the Port Area," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15019-:d:1262383
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/15019/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/20/15019/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Lifen & Liang, Chengji & Shi, Jian & Molavi, Anahita & Lim, Gino & Zhang, Yue, 2021. "A bilevel hybrid economic approach for optimal deployment of onshore power supply in maritime ports," Applied Energy, Elsevier, vol. 292(C).
    2. Molavi, Anahita & Shi, Jian & Wu, Yiwei & Lim, Gino J., 2020. "Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach," Applied Energy, Elsevier, vol. 258(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yue & Liang, Chengji & Shi, Jian & Lim, Gino & Wu, Yiwei, 2022. "Optimal Port Microgrid Scheduling Incorporating Onshore Power Supply and Berth Allocation Under Uncertainty," Applied Energy, Elsevier, vol. 313(C).
    2. Abu Bakar, Nur Najihah & Bazmohammadi, Najmeh & Vasquez, Juan C. & Guerrero, Josep M., 2023. "Electrification of onshore power systems in maritime transportation towards decarbonization of ports: A review of the cold ironing technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    3. Mao, Anjia & Yu, Tiantian & Ding, Zhaohao & Fang, Sidun & Guo, Jinran & Sheng, Qianqian, 2022. "Optimal scheduling for seaport integrated energy system considering flexible berth allocation," Applied Energy, Elsevier, vol. 308(C).
    4. Zixiao Ban & Fei Teng & Huifeng Zhang & Shuo Li & Geyang Xiao & Yajuan Guan, 2023. "Distributed Fixed-Time Energy Management for Port Microgrid Considering Transmissive Efficiency," Mathematics, MDPI, vol. 11(17), pages 1-13, August.
    5. Alaa Othman & Sara El Gazzar & Matjaz Knez, 2022. "Investigating the Influences of Smart Port Practices and Technology Employment on Port Sustainable Performance: The Egypt Case," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    6. Wang, Lifen & Liang, Chengji & Shi, Jian & Molavi, Anahita & Lim, Gino & Zhang, Yue, 2021. "A bilevel hybrid economic approach for optimal deployment of onshore power supply in maritime ports," Applied Energy, Elsevier, vol. 292(C).
    7. Huiru Zhao & Hao Lu & Bingkang Li & Xuejie Wang & Shiying Zhang & Yuwei Wang, 2020. "Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response," Energies, MDPI, vol. 13(5), pages 1-16, March.
    8. Anthony Roy & François Auger & Jean-Christophe Olivier & Emmanuel Schaeffer & Bruno Auvity, 2020. "Design, Sizing, and Energy Management of Microgrids in Harbor Areas: A Review," Energies, MDPI, vol. 13(20), pages 1-24, October.
    9. Song, Dongran & Tu, Yanping & Wang, Lei & Jin, Fangjun & Li, Ziqun & Huang, Chaoneng & Xia, E & Rizk-Allah, Rizk M. & Yang, Jian & Su, Mei & Hoon Joo, Young, 2022. "Coordinated optimization on energy capture and torque fluctuation of wind turbines via variable weight NMPC with fuzzy regulator," Applied Energy, Elsevier, vol. 312(C).
    10. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    11. Hokey Min, 2022. "Developing a smart port architecture and essential elements in the era of Industry 4.0," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 189-207, June.
    12. Molavi, Anahita & Lim, Gino J. & Shi, Jian, 2020. "Stimulating sustainable energy at maritime ports by hybrid economic incentives: A bilevel optimization approach," Applied Energy, Elsevier, vol. 272(C).
    13. Li, Kevin X. & Li, Mengchi & Zhu, Yuhan & Yuen, Kum Fai & Tong, Hao & Zhou, Haoqing, 2023. "Smart port: A bibliometric review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    14. Licheng Fang & Pangpang Gao & Shuguang Wang & Zhenhao Ma, 2023. "Coupling Fuzzy Bi-Level Chance Constraint Programming and Spatial Analysis for Urban Ecological Management," Land, MDPI, vol. 12(4), pages 1-25, April.
    15. Wang, Meng & Yu, Hang & Lin, Xiaoyu & Jing, Rui & He, Fangjun & Li, Chaoen, 2020. "Comparing stochastic programming with posteriori approach for multi-objective optimization of distributed energy systems under uncertainty," Energy, Elsevier, vol. 210(C).
    16. Alaa Othman & Sara El-gazzar & Matjaz Knez, 2022. "A Framework for Adopting a Sustainable Smart Sea Port Index," Sustainability, MDPI, vol. 14(8), pages 1-26, April.
    17. Ahmadian, Navid & Lim, Gino J. & Cho, Jaeyoung & Bora, Selim, 2020. "A quantitative approach for assessment and improvement of network resilience," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    18. Chen, Tengpeng & Cao, Yuhao & Qing, Xinlin & Zhang, Jingrui & Sun, Yuhao & Amaratunga, Gehan A.J., 2022. "Multi-energy microgrid robust energy management with a novel decision-making strategy," Energy, Elsevier, vol. 239(PA).
    19. Marcelo Amaral & Nuno Amaro & Pedro Arsénio, 2023. "Methodology for Assessing Power Needs for Onshore Power Supply in Maritime Ports," Sustainability, MDPI, vol. 15(24), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15019-:d:1262383. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.