IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i7p634-d73463.html
   My bibliography  Save this article

Analysis and Optimization of Power Supply Structure Based on Markov Chain and Error Optimization for Renewable Energy from the Perspective of Sustainability

Author

Listed:
  • Xiaomin Xu

    (Research Institute of Technology Economics Forecasting and Assessment, School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Dongxiao Niu

    (Research Institute of Technology Economics Forecasting and Assessment, School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jinpeng Qiu

    (Research Institute of Technology Economics Forecasting and Assessment, School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Peng Wang

    (Economic Research Office, Shaanxi Electric Power Design Institute Co., Ltd., China Energy Construction Group, Xi’an 710054, China)

  • Yanchao Chen

    (Nanning Power Supply Company, Guangxi Power Grid, Nanning 530000, China)

Abstract

With the rapid development of renewable energy, power supply structure is changing. However, thermal power is still dominant. With the background in low carbon economy, reasonable adjustment and optimization of the power supply structure is the trend of future development in the power industry. It is also a reliable guarantee of a fast, healthy and stable development of national economy. In this paper, the sustainable development of renewable energy sources is analyzed from the perspective of power supply. Through the research on the development of power supply structure, we find that regional power supply structure development mode conforms to dynamic characteristics and there must exist a Markov chain in the final equilibrium state. Combined with the characteristics of no aftereffect and small samples, this paper applies a Markov model to the power supply structure prediction. The optimization model is established to ensure that the model can fit the historical data as much as possible. Taking actual data of a certain area of Ningxia Province as an example, the models proposed in this paper are applied to the practice and results verify the validity and robustness of the model, which can provide decision basis for enterprise managers.

Suggested Citation

  • Xiaomin Xu & Dongxiao Niu & Jinpeng Qiu & Peng Wang & Yanchao Chen, 2016. "Analysis and Optimization of Power Supply Structure Based on Markov Chain and Error Optimization for Renewable Energy from the Perspective of Sustainability," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:634-:d:73463
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/7/634/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/7/634/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.
    2. Munoz, F.D. & Hobbs, B.F. & Watson, J.-P., 2016. "New bounding and decomposition approaches for MILP investment problems: Multi-area transmission and generation planning under policy constraints," European Journal of Operational Research, Elsevier, vol. 248(3), pages 888-898.
    3. Parpas, Panos & Webster, Mort, 2014. "A stochastic multiscale model for electricity generation capacity expansion," European Journal of Operational Research, Elsevier, vol. 232(2), pages 359-374.
    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. Haijun Zhao & Weichun Ma & Hongjia Dong & Ping Jiang, 2017. "Analysis of Co-Effects on Air Pollutants and CO 2 Emissions Generated by End-of-Pipe Measures of Pollution Control in China’s Coal-Fired Power Plants," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    2. Komeyl Baghizadeh & Nafiseh Ebadi & Dominik Zimon & Luay Jum’a, 2022. "Using Four Metaheuristic Algorithms to Reduce Supplier Disruption Risk in a Mathematical Inventory Model for Supplying Spare Parts," Mathematics, MDPI, vol. 11(1), pages 1-19, 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. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
    2. Kang, Jidong & Ng, Tsan Sheng & Su, Bin, 2020. "Optimizing electricity mix for CO2 emissions reduction: A robust input-output linear programming model," European Journal of Operational Research, Elsevier, vol. 287(1), pages 280-292.
    3. Rong, Aiying & Lahdelma, Risto, 2017. "An efficient model and algorithm for the transmission-constrained multi-site combined heat and power system," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1106-1117.
    4. Tsekrekos, Andrianos E. & Yannacopoulos, Athanasios N., 2016. "Optimal switching decisions under stochastic volatility with fast mean reversion," European Journal of Operational Research, Elsevier, vol. 251(1), pages 148-157.
    5. James H. Merrick & John E. T. Bistline & Geoffrey J. Blanford, 2021. "On representation of energy storage in electricity planning models," Papers 2105.03707, arXiv.org, revised May 2021.
    6. Amir Sadegh Zakeri & Hossein Askarian Abyaneh, 2017. "Transmission Expansion Planning Using TLBO Algorithm in the Presence of Demand Response Resources," Energies, MDPI, vol. 10(9), pages 1-15, September.
    7. Pineda, Salvador & Boomsma, Trine K. & Wogrin, Sonja, 2018. "Renewable generation expansion under different support schemes: A stochastic equilibrium approach," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1086-1099.
    8. Sarid, A. & Tzur, M., 2018. "The multi-scale generation and transmission expansion model," Energy, Elsevier, vol. 148(C), pages 977-991.
    9. Kettunen, Janne & Bunn, Derek W., 2016. "Risk induced resource dependency in capacity investments," European Journal of Operational Research, Elsevier, vol. 250(3), pages 914-924.
    10. Go, Roderick S. & Munoz, Francisco D. & Watson, Jean-Paul, 2016. "Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards," Applied Energy, Elsevier, vol. 183(C), pages 902-913.
    11. Paulo Antônio Xavier Furtado & Antônio Vanderley Herrero Sola, 2020. "Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants," Energies, MDPI, vol. 13(23), pages 1-20, November.
    12. Athanasios P. Vavatsikos & Efstratios Tsesmetzis & Georgios Koulinas & Dimitrios Koulouriotis, 2022. "A robust group decision making framework using fuzzy TOPSIS and Monte Carlo simulation for wind energy projects multicriteria evaluation," Operational Research, Springer, vol. 22(5), pages 6055-6073, November.
    13. Athanasios Kolios & Varvara Mytilinou & Estivaliz Lozano-Minguez & Konstantinos Salonitis, 2016. "A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs," Energies, MDPI, vol. 9(7), pages 1-21, July.
    14. Güner, Yusuf Emre, 2018. "The improved screening curve method regarding existing units," European Journal of Operational Research, Elsevier, vol. 264(1), pages 310-326.
    15. Urošević, Branka Gvozdenac & Marinović, Budimirka, 2021. "Ranking construction of small hydro power plants using multi-criteria decision analysis," Renewable Energy, Elsevier, vol. 172(C), pages 1174-1183.
    16. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Empirical investigation and validation of sustainability indicators for the assessment of energy sources in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    17. Moura Neto, F. & Souza, P. & de Magalhães, M.S., 2019. "Determining baseline profile by diffusion maps," European Journal of Operational Research, Elsevier, vol. 279(1), pages 107-123.
    18. Moiseeva, Ekaterina & Wogrin, Sonja & Hesamzadeh, Mohammad Reza, 2017. "Generation flexibility in ramp rates: Strategic behavior and lessons for electricity market design," European Journal of Operational Research, Elsevier, vol. 261(2), pages 755-771.
    19. Pilar Díaz-Cuevas, 2018. "GIS-Based Methodology for Evaluating the Wind-Energy Potential of Territories: A Case Study from Andalusia (Spain)," Energies, MDPI, vol. 11(10), pages 1-16, October.
    20. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.

    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:8:y:2016:i:7:p:634-:d:73463. 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.