IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v31y2020i4p549-569.html
   My bibliography  Save this article

A profit-based self-scheduling framework for generation company energy and ancillary service participation in multi-constrained environment with renewable energy penetration

Author

Listed:
  • Srikanth Reddy
  • Lokesh Panwar
  • Bijaya Ketan Panigrahi
  • Rajesh Kumar
  • Lalit Goel
  • Ameena Saad Al-Sumaiti

Abstract

This paper presents a profit-based self-scheduling framework for generation company participation in energy and ancillary service markets under multi-constrained environment with renewable energy participation. The participation strategies of generation company include various objectives incorporating economic (profit maximization), environmental (emission minimization), and social (maximum load satisfaction) aspects. The total objective under single, dual and multi-constrained approaches is formulated along with appropriate constraints for energy, spinning reserve, and non-spinning reserve offerings in various markets. In addition, the impact of renewable energy participation in energy market on scheduling decisions of generation company in different markets is also examined. The renewable energy independent power producers namely wind energy and solar photovoltaic energy generators are considered in this study. The sensitivity analysis is also carried out to examine the impact of reserve deployment probability on optimal offerings and generation company surplus in energy as well as ancillary service markets. To solve the proposed framework, binary fireworks algorithm is used, considering the binary natured commitment problem of generation company’s thermal units. The simulation results of proposed framework tested using thermal units, wind energy independent power producer, solar photovoltaic independent power producer are presented for base case and various scenarios involving single, dual and multi objectives. The comparison shows the effectiveness of proposed multi-constrained approach in arriving at optimal offering of generation company under economic, environmental and social constraints. Therefore, this integrated approach can prove to be an effective tool for generation company participation in energy and ancillary service market under renewable participation.

Suggested Citation

  • Srikanth Reddy & Lokesh Panwar & Bijaya Ketan Panigrahi & Rajesh Kumar & Lalit Goel & Ameena Saad Al-Sumaiti, 2020. "A profit-based self-scheduling framework for generation company energy and ancillary service participation in multi-constrained environment with renewable energy penetration," Energy & Environment, , vol. 31(4), pages 549-569, June.
    • Handle: RePEc:sae:engenv:v:31:y:2020:i:4:p:549-569
    DOI: 10.1177/0958305X19878426
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X19878426
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0958305X19878426?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Krupnick, Alan J. & Burtraw, Dallas, 1996. "The social costs of electricity: Do the numbers add up?," Resource and Energy Economics, Elsevier, vol. 18(4), pages 423-466, December.
    2. Bhattacharya, S.C. & Jana, Chinmoy, 2009. "Renewable energy in India: Historical developments and prospects," Energy, Elsevier, vol. 34(8), pages 981-991.
    3. Dubey, Hari Mohan & Pandit, Manjaree & Panigrahi, B.K., 2016. "Hydro-thermal-wind scheduling employing novel ant lion optimization technique with composite ranking index," Renewable Energy, Elsevier, vol. 99(C), pages 18-34.
    4. Lykidi, Maria & Gourdel, Pascal, 2015. "How to manage flexible nuclear power plants in a deregulated electricity market from the point of view of social welfare?," Energy, Elsevier, vol. 85(C), pages 167-180.
    5. Pascal Gourdel & Maria Lykidi, 2015. "How to manage flexible nuclear power plants in a deregulated electricity market from the point of view of social welfare?," PSE-Ecole d'économie de Paris (Postprint) hal-01477134, HAL.
    6. Larsen, Erik R. & van Ackere, Ann & Dyner, Isaac, 2007. "Introduction to the Special Issue: The deregulation of electricity markets," Socio-Economic Planning Sciences, Elsevier, vol. 41(4), pages 269-271, December.
    7. Pascal Gourdel & Maria Lykidi, 2015. "How to manage flexible nuclear power plants in a deregulated electricity market from the point of view of social welfare?," Post-Print hal-01477134, HAL.
    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. Abdi, Hamdi, 2021. "Profit-based unit commitment problem: A review of models, methods, challenges, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    2. Dong, Weijie & He, Guoqing & Cui, Quansheng & Sun, Wenwen & Hu, Zhenlong & Ahli raad, Erfan, 2022. "Self-scheduling of a novel hybrid GTSOFC unit in day-ahead energy and spinning reserve markets within ancillary services using a novel energy storage," Energy, Elsevier, vol. 239(PE).
    3. Ying-Yi Hong & Gerard Francesco DG. Apolinario, 2021. "Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications," Energies, MDPI, vol. 14(20), pages 1-47, October.
    4. Lan, Liuhan & Zhang, Xingping & Zhang, Youzhong, 2023. "Low carbon and efficiency oriented day-ahead joint electrical energy and ancillary services market clearing model for generation-side in China," Energy Economics, Elsevier, vol. 121(C).

    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. Alhadhrami, Saeed & Soto, Gabriel J & Lindley, Ben, 2023. "Dispatch analysis of flexible power operation with multi-unit small modular reactors," Energy, Elsevier, vol. 280(C).
    2. Crampes, Claude & Renault, Jérôme, 2018. "Supply flexibility in electricity markets," TSE Working Papers 18-964, Toulouse School of Economics (TSE).
    3. Lauer, Markus & Thrän, Daniela, 2017. "Biogas plants and surplus generation: Cost driver or reducer in the future German electricity system?," Energy Policy, Elsevier, vol. 109(C), pages 324-336.
    4. Lykidi, Maria & Gourdel, Pascal, 2017. "Optimal management of flexible nuclear power plants in a decarbonising competitive electricity market: The French case," Energy, Elsevier, vol. 132(C), pages 171-185.
    5. Dong, Zhe & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Multi-layer perception based model predictive control for the thermal power of nuclear superheated-steam supply systems," Energy, Elsevier, vol. 151(C), pages 116-125.
    6. Chen, Yingwen & Chen, Liuliu & Li, Peiwen & Xu, Yuan & Fan, Mengjie & Zhu, Shemin & Shen, Shubao, 2016. "Enhanced performance of microbial fuel cells by using MnO2/Halloysite nanotubes to modify carbon cloth anodes," Energy, Elsevier, vol. 109(C), pages 620-628.
    7. Dong, Zhe & Liu, Miao & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2019. "Automatic generation control for the flexible operation of multimodular high temperature gas-cooled reactor plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 11-31.
    8. Crampes, Claude & Renault, Jérôme, 2019. "How many markets for wholesale electricity when supply ispartially flexible?," Energy Economics, Elsevier, vol. 81(C), pages 465-478.
    9. Scharff, Richard & Amelin, Mikael, 2016. "Trading behaviour on the continuous intraday market Elbas," Energy Policy, Elsevier, vol. 88(C), pages 544-557.
    10. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2017. "Model-free adaptive control law for nuclear superheated-steam supply systems," Energy, Elsevier, vol. 135(C), pages 53-67.
    11. Jiang, Di & Dong, Zhe, 2019. "Practical dynamic matrix control of MHTGR-based nuclear steam supply systems," Energy, Elsevier, vol. 185(C), pages 695-707.
    12. Dong, Zhe & Pan, Yifei, 2018. "A lumped-parameter dynamical model of a nuclear heating reactor cogeneration plant," Energy, Elsevier, vol. 145(C), pages 638-656.
    13. Zhe Dong & Yifei Pan & Zuoyi Zhang & Yujie Dong & Xiaojin Huang, 2017. "Modeling and Control of Fluid Flow Networks with Application to a Nuclear-Solar Hybrid Plant," Energies, MDPI, vol. 10(11), pages 1-21, November.
    14. Sarin, Amit & Singh, N.P. & Sarin, Rakesh & Malhotra, R.K., 2010. "Natural and synthetic antioxidants: Influence on the oxidative stability of biodiesel synthesized from non-edible oil," Energy, Elsevier, vol. 35(12), pages 4645-4648.
    15. Anandarajah, Gabrial & Gambhir, Ajay, 2014. "India’s CO2 emission pathways to 2050: What role can renewables play?," Applied Energy, Elsevier, vol. 131(C), pages 79-86.
    16. Krupnick, Alan & Austin, David & Morton, Brian & McConnell, Virginia & Stoessell, Terrell & Cannon, Matthew, 1998. "The Chesapeake Bay and the Control of NOx Emissions: A Policy Analysis," RFF Working Paper Series dp-98-46, Resources for the Future.
    17. Sakthivel, V.P. & Thirumal, K. & Sathya, P.D., 2022. "Short term scheduling of hydrothermal power systems with photovoltaic and pumped storage plants using quasi-oppositional turbulent water flow optimization," Renewable Energy, Elsevier, vol. 191(C), pages 459-492.
    18. Hynek Roubík & Jana Mazancová & Phung Le Dinh & Dung Dinh Van & Jan Banout, 2018. "Biogas Quality across Small-Scale Biogas Plants: A Case of Central Vietnam," Energies, MDPI, vol. 11(7), pages 1-12, July.
    19. Jain, Sanjay V. & Patel, Rajesh N., 2014. "Investigations on pump running in turbine mode: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 841-868.
    20. Burtraw, Dallas & Palmer, Karen & Bharvirkar, Ranjit & Paul, Anthony, 2001. "Cost-Effective Reduction of NOx Emissions from Electricity Generation," RFF Working Paper Series dp-00-55-rev, Resources for the Future.

    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:sae:engenv:v:31:y:2020:i:4:p:549-569. 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: SAGE Publications (email available below). General contact details of provider: .

    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.