IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i19p5470-d273041.html
   My bibliography  Save this article

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Author

Listed:
  • Jun Dong

    (Research Institute of Energy Markets, North China Electric Power University, Beijing 102206, China)

  • Dongxue Wang

    (Research Institute of Energy Markets, North China Electric Power University, Beijing 102206, China)

  • Dongran Liu

    (Research Institute of Energy Markets, North China Electric Power University, Beijing 102206, China)

  • Palidan Ainiwaer

    (Research Institute of Energy Markets, North China Electric Power University, Beijing 102206, China)

  • Linpeng Nie

    (Research Institute of Energy Markets, North China Electric Power University, Beijing 102206, China)

Abstract

The complex power system and trading environment in China has led to higher requirements for the efficient and stable operation of the electricity market. With the continuous advancement of power system reforms, regular evaluation of the operation of the market can help us grasp its status and trends, which is of great significance for ensuring its sustainable development. In order to effectively evaluate the current operational status of the electricity market, the concept of operation health degree of power market (OHDPM) is proposed to measure whether the operation is safe, efficient, and sustainable. This paper establishes an improved model framework based on the matter-element extension theory for evaluation. In order to effectively avoid information distortion and loss in the evaluation process, this paper combines the cloud model, matter element extension theory, ideal point method (IPM), and cloud entropy optimization algorithm to deal with this problem. The matter-element extension cloud model (MEECM) can clearly represent the characteristics of the object to be evaluated. IPM is used to determine the weight of the index. For the improved matter-element extension model, the traditional rules of “3En” and “50% relevance” are taken into account, and the method of solving the entropy is optimized. Then, for the correlation degree between the object to be evaluated and the graded normal cloud, the weight vector solved by the IPM is used to weigh the cloud correlation degree, which can give a reliable evaluation result. The health evaluation index system of power market operation includes 16 sub-indicators in five categories: supply side, demand side, coordinated operation, market security, and sustainable development. In the empirical analysis, the OHDPM situation in Y Province was evaluated in May 2019. The results prove that the OHDPM level is medium, and the importance and health level of each index are given. The reliability of the power system, transaction price stability, Lerner index, residual proportion of producers, and user satisfaction have a greater impact on the health status. Finally, in order to verify the validity and stability of the model, different methods are used to evaluate the evaluation objects, and the advantages of OHDPM evaluation based on the model framework proposed in this paper are proven.

Suggested Citation

  • Jun Dong & Dongxue Wang & Dongran Liu & Palidan Ainiwaer & Linpeng Nie, 2019. "Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5470-:d:273041
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/19/5470/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/19/5470/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sköld, David & Fornstedt, Helena & Lindahl, Marcus, 2018. "Dilution of innovation utility, reinforcing the reluctance towards the new: An upstream supplier perspective on a fragmented electricity industry," Energy Policy, Elsevier, vol. 116(C), pages 220-231.
    2. Dongxiao Niu & Si Li & Shuyu Dai, 2018. "Comprehensive Evaluation for Operating Efficiency of Electricity Retail Companies Based on the Improved TOPSIS Method and LSSVM Optimized by Modified Ant Colony Algorithm from the View of Sustainable ," Sustainability, MDPI, vol. 10(3), pages 1-26, March.
    3. Lin, Boqiang & Wu, Wei, 2017. "Economic viability of battery energy storage and grid strategy: A special case of China electricity market," Energy, Elsevier, vol. 124(C), pages 423-434.
    4. Ghimire, Laxman Prasad & Kim, Yeonbae, 2018. "An analysis on barriers to renewable energy development in the context of Nepal using AHP," Renewable Energy, Elsevier, vol. 129(PA), pages 446-456.
    5. McMeekin, Andrew & Geels, Frank W. & Hodson, Mike, 2019. "Mapping the winds of whole system reconfiguration: Analysing low-carbon transformations across production, distribution and consumption in the UK electricity system (1990–2016)," Research Policy, Elsevier, vol. 48(5), pages 1216-1231.
    6. Seddiki, Mohammed & Bennadji, Amar, 2019. "Multi-criteria evaluation of renewable energy alternatives for electricity generation in a residential building," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 101-117.
    7. Hu, Maomao & Xiao, Fu, 2018. "Price-responsive model-based optimal demand response control of inverter air conditioners using genetic algorithm," Applied Energy, Elsevier, vol. 219(C), pages 151-164.
    8. Jun Dong & Dongran Liu & Dongxue Wang & Qi Zhang, 2019. "Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    9. Lihui Zhang & He Xin & Zhinan Kan, 2019. "Sustainability Performance Evaluation of Hybrid Energy System Using an Improved Fuzzy Synthetic Evaluation Approach," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
    10. Chang Han & Yuxuan Zhao & Zhenzhi Lin & Yi Ding & Li Yang & Guanqiang Lin & Tianwen Mo & Xiaojun Ye, 2018. "Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method," Energies, MDPI, vol. 11(6), pages 1-18, May.
    11. Guangdong Wu , & Kaifeng Duan & Jian Zuo & Xianbo Zhao & Daizhong Tang, 2017. "Integrated Sustainability Assessment of Public Rental Housing Community Based on a Hybrid Method of AHP-Entropy Weight and Cloud Model," Sustainability, MDPI, vol. 9(4), pages 1-25, April.
    12. Yuan, Jiahai & Li, Xinying & Xu, Chuanbo & Zhao, Changhong & Liu, Yuanxin, 2019. "Investment risk assessment of coal-fired power plants in countries along the Belt and Road initiative based on ANP-Entropy-TODIM method," Energy, Elsevier, vol. 176(C), pages 623-640.
    13. Buonomano, Annamaria & Calise, Francesco & d'Accadia, Massimo Dentice & Vicidomini, Maria, 2018. "A hybrid renewable system based on wind and solar energy coupled with an electrical storage: Dynamic simulation and economic assessment," Energy, Elsevier, vol. 155(C), pages 174-189.
    14. Yuangang Li & Maohua Sun & Guanghui Yuan & Qi Zhou & Jinyue Liu, 2019. "Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    15. Jun Dong & Huijuan Huo & Dongran Liu & Rong Li, 2017. "Evaluating the Comprehensive Performance of Demand Response for Commercial Customers by Applying Combination Weighting Techniques and Fuzzy VIKOR Approach," Sustainability, MDPI, vol. 9(8), pages 1-32, July.
    16. Hache, Emmanuel & Palle, Angélique, 2019. "Renewable energy source integration into power networks, research trends and policy implications: A bibliometric and research actors survey analysis," Energy Policy, Elsevier, vol. 124(C), pages 23-35.
    17. Ahmad, Salman & Nadeem, Abid & Akhanova, Gulzhanat & Houghton, Tom & Muhammad-Sukki, Firdaus, 2017. "Multi-criteria evaluation of renewable and nuclear resources for electricity generation in Kazakhstan," Energy, Elsevier, vol. 141(C), pages 1880-1891.
    18. Parra, David & Zhang, Xiaojin & Bauer, Christian & Patel, Martin K., 2017. "An integrated techno-economic and life cycle environmental assessment of power-to-gas systems," Applied Energy, Elsevier, vol. 193(C), pages 440-454.
    19. Yunna Wu & Meng Yang & Haobo Zhang & Kaifeng Chen & Yang Wang, 2016. "Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method," Energies, MDPI, vol. 9(3), pages 1-20, March.
    20. Niu, Dong-xiao & Song, Zong-yun & Xiao, Xin-li, 2017. "Electric power substitution for coal in China: Status quo and SWOT analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 610-622.
    21. Cavallaro, Fausto & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Mardani, Abbas, 2019. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 258-270.
    22. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Comprehensive Performance Evaluation of Electricity Grid Corporations Employing a Novel MCDM Model," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
    23. Xiaoling Wang & Hongling Yu & Peng Lv & Cheng Wang & Jun Zhang & Jia Yu, 2019. "Seepage Safety Assessment of Concrete Gravity Dam Based on Matter-Element Extension Model and FDA," Energies, MDPI, vol. 12(3), pages 1-21, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingfu Li & Zhipeng Wang & Linfang Lu & Qiang Ma, 2021. "Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    2. Zhaoxi Zhan & Wenna Xu & Lin Xu & Xinyue Qi & Wenjie Song & Chen Wang & Ziye Huang, 2022. "BIM-Based Green Hospital Building Performance Pre-Evaluation: A Case Study," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    3. Qingyou Yan & Hua Dong & Meijuan Zhang, 2021. "Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    4. Jianhua Cheng & Xiaolong Yang & Hui Wang & Hujun Li & Xuan Lin & Yapeng Guo, 2022. "Evaluation of the Emergency Capability of Subway Shield Construction Based on Cloud Model," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    5. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.

    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. Bilgili, Faik & Zarali, Fulya & Ilgün, Miraç Fatih & Dumrul, Cüneyt & Dumrul, Yasemin, 2022. "The evaluation of renewable energy alternatives for sustainable development in Turkey using ‌intuitionistic‌ ‌fuzzy‌-TOPSIS method," Renewable Energy, Elsevier, vol. 189(C), pages 1443-1458.
    2. Jianxue Chai & Lihui Zhang & Meng Yang & Qingyun Nie & Lei Nie, 2020. "Investigation on the Coupling Coordination Relationship between Electric Power Green Development and Ecological Civilization Construction in China: A Case Study of Beijing," Sustainability, MDPI, vol. 12(21), pages 1-29, October.
    3. Sen Guo & Wenyue Zhang & Xiao Gao, 2020. "Business Risk Evaluation of Electricity Retail Company in China Using a Hybrid MCDM Method," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    4. Yigit Kazancoglu & Yalcin Berberoglu & Cisem Lafci & Oleksander Generalov & Denys Solohub & Viktor Koval, 2023. "Environmental Sustainability Implications and Economic Prosperity of Integrated Renewable Solutions in Urban Development," Energies, MDPI, vol. 16(24), pages 1-24, December.
    5. Du, Puliang & Chen, Zhong & Gong, Xiaomin, 2020. "Load response potential evaluation for distribution networks: A hybrid decision-making model with intuitionistic normal cloud and unknown weight information," Energy, Elsevier, vol. 192(C).
    6. Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    7. Vivek Agrawal & Nitin Seth & Jitendra Kumar Dixit, 2022. "A combined AHP–TOPSIS–DEMATEL approach for evaluating success factors of e-service quality: an experience from Indian banking industry," Electronic Commerce Research, Springer, vol. 22(3), pages 715-747, September.
    8. Yana Duan & Yang Sun & Yu Zhang & Xiaoqi Fan & Qinghuan Dong & Sen Guo, 2021. "Risk Evaluation of Electric Power Grid Investment in China Employing a Hybrid Novel MCDM Method," Mathematics, MDPI, vol. 9(5), pages 1-22, February.
    9. Mehrnaz Jalali & Bo Feng & Junwen Feng, 2022. "An Analysis of Barriers to Sustainable Supply Chain Management Implementation: The Fuzzy DEMATEL Approach," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    10. Pratibha Rani & Jabir Ali & Raghunathan Krishankumar & Arunodaya Raj Mishra & Fausto Cavallaro & Kattur S. Ravichandran, 2021. "An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem," Energies, MDPI, vol. 14(15), pages 1-23, July.
    11. Jun Dong & Dongran Liu & Dongxue Wang & Qi Zhang, 2019. "Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    12. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    13. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    14. Prashamsa Thapa & Brijesh Mainali & Shobhakar Dhakal, 2023. "Focus on Climate Action: What Level of Synergy and Trade-Off Is There between SDG 13; Climate Action and Other SDGs in Nepal?," Energies, MDPI, vol. 16(1), pages 1-32, January.
    15. Danijela Tuljak-Suban & Patricija Bajec, 2022. "A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes," Energies, MDPI, vol. 15(21), pages 1-23, October.
    16. Mostafa Shaaban & Jürgen Scheffran & Jürgen Böhner & Mohamed S. Elsobki, 2018. "Sustainability Assessment of Electricity Generation Technologies in Egypt Using Multi-Criteria Decision Analysis," Energies, MDPI, vol. 11(5), pages 1-25, May.
    17. Sergey Obukhov & Ahmed Ibrahim & Mohamed A. Tolba & Ali M. El-Rifaie, 2019. "Power Balance Management of an Autonomous Hybrid Energy System Based on the Dual-Energy Storage," Energies, MDPI, vol. 12(24), pages 1-15, December.
    18. Sungho Son & Nam-Wook Cho, 2020. "Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    19. Rômulo de Oliveira Azevêdo & Paulo Rotela Junior & Luiz Célio Souza Rocha & Gianfranco Chicco & Giancarlo Aquila & Rogério Santana Peruchi, 2020. "Identification and Analysis of Impact Factors on the Economic Feasibility of Photovoltaic Energy Investments," Sustainability, MDPI, vol. 12(17), pages 1-40, September.
    20. Ceran, Bartosz, 2019. "The concept of use of PV/WT/FC hybrid power generation system for smoothing the energy profile of the consumer," Energy, Elsevier, vol. 167(C), pages 853-865.

    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:11:y:2019:i:19:p:5470-:d:273041. 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.