IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v162y2018icp476-490.html
   My bibliography  Save this article

The impact of energy storage modeling in coordination with wind farm and thermal units on security and reliability in a stochastic unit commitment

Author

Listed:
  • Vatanpour, Mohsen
  • Sadeghi Yazdankhah, Ahmad

Abstract

The environmental concerns and restrictions of fossil fuel resources have led to the deployment of wind power installation. Due to the uncertain nature of wind speed, high penetration of wind power may threaten system reliability and security. Energy storage systems (ESSs) are considered to be a viable solution to this problem. In this study, a stochastic security constrained unit commitment (SCUC) problem is solved in the presence of wind and ESS units. The main concern of this paper is to study the impact of the proposed ESS model on the security and reliability of the system. To assess the reliability of a power system, the expected unserved energy (EUE) for line outage and demand underestimation contingencies is evaluated. The SCUC problem is solved by a scenario-based method incorporated with the Benders decomposition technique to mitigate congestions from power lines and provide feasibility and optimality of the solution in all the scenarios. The performance of the proposed approach has been evaluated using the 6-bus and 39-bus standard power systems. Simulation results demonstrated the economic advantages of the proposed model, while the security constraints are satisfied. Moreover, the impact of energy storage modeling on the EUE in post-contingency circumstances is discussed.

Suggested Citation

  • Vatanpour, Mohsen & Sadeghi Yazdankhah, Ahmad, 2018. "The impact of energy storage modeling in coordination with wind farm and thermal units on security and reliability in a stochastic unit commitment," Energy, Elsevier, vol. 162(C), pages 476-490.
    • Handle: RePEc:eee:energy:v:162:y:2018:i:c:p:476-490
    DOI: 10.1016/j.energy.2018.07.181
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218314786
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.07.181?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anagnostopoulos, J.S. & Papantonis, D.E., 2008. "Simulation and size optimization of a pumped–storage power plant for the recovery of wind-farms rejected energy," Renewable Energy, Elsevier, vol. 33(7), pages 1685-1694.
    2. Rodrigues, E.M.G. & Osório, G.J. & Godina, R. & Bizuayehu, A.W. & Lujano-Rojas, J.M. & Matias, J.C.O. & Catalão, J.P.S., 2015. "Modelling and sizing of NaS (sodium sulfur) battery energy storage system for extending wind power performance in Crete Island," Energy, Elsevier, vol. 90(P2), pages 1606-1617.
    3. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    4. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    5. Hajibandeh, Neda & Shafie-khah, Miadreza & Osório, Gerardo J. & Aghaei, Jamshid & Catalão, João P.S., 2018. "A heuristic multi-objective multi-criteria demand response planning in a system with high penetration of wind power generators," Applied Energy, Elsevier, vol. 212(C), pages 721-732.
    6. Jurasz, Jakub & Mikulik, Jerzy & Krzywda, Magdalena & Ciapała, Bartłomiej & Janowski, Mirosław, 2018. "Integrating a wind- and solar-powered hybrid to the power system by coupling it with a hydroelectric power station with pumping installation," Energy, Elsevier, vol. 144(C), pages 549-563.
    7. Jiang, Yibo & Xu, Jian & Sun, Yuanzhang & Wei, Congying & Wang, Jing & Ke, Deping & Li, Xiong & Yang, Jun & Peng, Xiaotao & Tang, Bowen, 2017. "Day-ahead stochastic economic dispatch of wind integrated power system considering demand response of residential hybrid energy system," Applied Energy, Elsevier, vol. 190(C), pages 1126-1137.
    8. Denholm, Paul & Sioshansi, Ramteen, 2009. "The value of compressed air energy storage with wind in transmission-constrained electric power systems," Energy Policy, Elsevier, vol. 37(8), pages 3149-3158, August.
    9. Barbour, Edward & Wilson, I.A. Grant & Radcliffe, Jonathan & Ding, Yulong & Li, Yongliang, 2016. "A review of pumped hydro energy storage development in significant international electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 421-432.
    10. Dursun, Bahtiyar & Alboyaci, Bora, 2010. "The contribution of wind-hydro pumped storage systems in meeting Turkey's electric energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1979-1988, September.
    11. Reddy, S. Surender, 2017. "Optimal scheduling of thermal-wind-solar power system with storage," Renewable Energy, Elsevier, vol. 101(C), pages 1357-1368.
    12. Azcárate, Cristina & Mallor, Fermín & Mateo, Pedro, 2017. "Tactical and operational management of wind energy systems with storage using a probabilistic forecast of the energy resource," Renewable Energy, Elsevier, vol. 102(PB), pages 445-456.
    13. Zafirakis, D. & Kaldellis, J.K., 2009. "Economic evaluation of the dual mode CAES solution for increased wind energy contribution in autonomous island networks," Energy Policy, Elsevier, vol. 37(5), pages 1958-1969, May.
    14. Aliari, Yashar & Haghani, Ali, 2016. "Planning for integration of wind power capacity in power generation using stochastic optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 907-919.
    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. Mesfun, Sennai & Leduc, Sylvain & Patrizio, Piera & Wetterlund, Elisabeth & Mendoza-Ponce, Alma & Lammens, Tijs & Staritsky, Igor & Elbersen, Berien & Lundgren, Joakim & Kraxner, Florian, 2018. "Spatio-temporal assessment of integrating intermittent electricity in the EU and Western Balkans power sector under ambitious CO2 emission policies," Energy, Elsevier, vol. 164(C), pages 676-693.
    2. Qing, Ke & Huang, Qi & Du, Yuefang & Jiang, Lin & Bamisile, Olusola & Hu, Weihao, 2023. "Distributionally robust unit commitment with an adjustable uncertainty set and dynamic demand response," Energy, Elsevier, vol. 262(PA).
    3. Cisek, Piotr & Taler, Dawid, 2019. "Numerical analysis and performance assessment of the Thermal Energy Storage unit aimed to be utilized in Smart Electric Thermal Storage (SETS)," Energy, Elsevier, vol. 173(C), pages 755-771.
    4. Haiyan Zheng & Liying Huang & Ran Quan, 2023. "Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
    5. Dong, Jizhe & Li, Yuanhan & Zuo, Shi & Wu, Xiaomei & Zhang, Zuyao & Du, Jiang, 2023. "An intraperiod arbitrary ramping-rate changing model in unit commitment," Energy, Elsevier, vol. 284(C).
    6. Luis Montero & Antonio Bello & Javier Reneses, 2022. "A Review on the Unit Commitment Problem: Approaches, Techniques, and Resolution Methods," Energies, MDPI, vol. 15(4), pages 1-40, February.
    7. Zhu, Xiaodong & Zhao, Shihao & Yang, Zhile & Zhang, Ning & Xu, Xinzhi, 2022. "A parallel meta-heuristic method for solving large scale unit commitment considering the integration of new energy sectors," Energy, Elsevier, vol. 238(PC).
    8. Yong-Rae Lee & Hyung-Joon Kim & Mun-Kyeom Kim, 2021. "Optimal Operation Scheduling Considering Cycle Aging of Battery Energy Storage Systems on Stochastic Unit Commitments in Microgrids," Energies, MDPI, vol. 14(2), pages 1-21, January.
    9. Dong, Jizhe & Han, Shunjie & Shao, Xiangxin & Tang, Like & Chen, Renhui & Wu, Longfei & Zheng, Cunlong & Li, Zonghao & Li, Haolin, 2021. "Day-ahead wind-thermal unit commitment considering historical virtual wind power data," Energy, Elsevier, vol. 235(C).
    10. da Silva, Ramon Gomes & Ribeiro, Matheus Henrique Dal Molin & Moreno, Sinvaldo Rodrigues & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2021. "A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting," Energy, Elsevier, vol. 216(C).
    11. Kim, Tae Hyun & Shin, Hansol & Kwag, Kyuhyeong & Kim, Wook, 2020. "A parallel multi-period optimal scheduling algorithm in microgrids with energy storage systems using decomposed inter-temporal constraints," Energy, Elsevier, vol. 202(C).
    12. Jain, Tanmay & Verma, Kusum, 2024. "Reliability based computational model for stochastic unit commitment of a bulk power system integrated with volatile wind power," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    13. Ahmad, Tanveer & Zhang, Dongdong & Huang, Chao, 2021. "Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and energy policy applications," Energy, Elsevier, vol. 231(C).
    14. Lu, Mengke & Guan, Jun & Wu, Huahua & Chen, Huizhe & Gu, Wei & Wu, Ye & Ling, ChengXiang & Zhang, Linqiang, 2022. "Day-ahead optimal dispatching of multi-source power system," Renewable Energy, Elsevier, vol. 183(C), pages 435-446.
    15. Mansourshoar, Paria & Yazdankhah, Ahmad Sadeghi & Vatanpour, Mohsen & Mohammadi-Ivatloo, Behnam, 2022. "Impact of implementing a price-based demand response program on the system reliability in security-constrained unit commitment problem coupled with wind farms in the presence of contingencies," Energy, Elsevier, vol. 255(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. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    2. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    3. Benato, Alberto, 2017. "Performance and cost evaluation of an innovative Pumped Thermal Electricity Storage power system," Energy, Elsevier, vol. 138(C), pages 419-436.
    4. Ren, Guorui & Liu, Jinfu & Wan, Jie & Guo, Yufeng & Yu, Daren, 2017. "Overview of wind power intermittency: Impacts, measurements, and mitigation solutions," Applied Energy, Elsevier, vol. 204(C), pages 47-65.
    5. Caralis, George & Christakopoulos, Theofanis & Karellas, Sotirios & Gao, Zhiqiu, 2019. "Analysis of energy storage systems to exploit wind energy curtailment in Crete," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 122-139.
    6. He, Qing & Li, Guoqing & Lu, Chang & Du, Dongmei & Liu, Wenyi, 2019. "A compressed air energy storage system with variable pressure ratio and its operation control," Energy, Elsevier, vol. 169(C), pages 881-894.
    7. Hasan, Nor Shahida & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Omar, Wan Zaidi Wan & Rosmin, Norzanah, 2016. "Improving power grid performance using parallel connected Compressed Air Energy Storage and wind turbine system," Renewable Energy, Elsevier, vol. 96(PA), pages 498-508.
    8. Farihan Mohamad & Jiashen Teh & Ching-Ming Lai & Liang-Rui Chen, 2018. "Development of Energy Storage Systems for Power Network Reliability: A Review," Energies, MDPI, vol. 11(9), pages 1-19, August.
    9. Obi, Manasseh & Jensen, S.M. & Ferris, Jennifer B. & Bass, Robert B., 2017. "Calculation of levelized costs of electricity for various electrical energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 908-920.
    10. Francesc Girbau-Llistuella & Francisco Díaz-González & Andreas Sumper & Ramon Gallart-Fernández & Daniel Heredero-Peris, 2018. "Smart Grid Architecture for Rural Distribution Networks: Application to a Spanish Pilot Network," Energies, MDPI, vol. 11(4), pages 1-35, April.
    11. Dhillon, Javed & Kumar, Arun & Singal, S.K., 2014. "Optimization methods applied for Wind–PSP operation and scheduling under deregulated market: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 682-700.
    12. Foley, A. & Díaz Lobera, I., 2013. "Impacts of compressed air energy storage plant on an electricity market with a large renewable energy portfolio," Energy, Elsevier, vol. 57(C), pages 85-94.
    13. Gomes, I.L.R. & Pousinho, H.M.I. & Melício, R. & Mendes, V.M.F., 2017. "Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market," Energy, Elsevier, vol. 124(C), pages 310-320.
    14. Madlener, Reinhard & Latz, Jochen, 2013. "Economics of centralized and decentralized compressed air energy storage for enhanced grid integration of wind power," Applied Energy, Elsevier, vol. 101(C), pages 299-309.
    15. Li, Canbing & Shi, Haiqing & Cao, Yijia & Wang, Jianhui & Kuang, Yonghong & Tan, Yi & Wei, Jing, 2015. "Comprehensive review of renewable energy curtailment and avoidance: A specific example in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1067-1079.
    16. Neda Hajibandeh & Miadreza Shafie-khah & Sobhan Badakhshan & Jamshid Aghaei & Sílvio J. P. S. Mariano & João P. S. Catalão, 2019. "Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme," Energies, MDPI, vol. 12(7), pages 1-16, April.
    17. Mason, I.G. & Page, S.C. & Williamson, A.G., 2013. "Security of supply, energy spillage control and peaking options within a 100% renewable electricity system for New Zealand," Energy Policy, Elsevier, vol. 60(C), pages 324-333.
    18. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    19. Connolly, D. & Lund, H. & Mathiesen, B.V. & Pican, E. & Leahy, M., 2012. "The technical and economic implications of integrating fluctuating renewable energy using energy storage," Renewable Energy, Elsevier, vol. 43(C), pages 47-60.
    20. Rehman, Shafiqur & Al-Hadhrami, Luai M. & Alam, Md. Mahbub, 2015. "Pumped hydro energy storage system: A technological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 586-598.

    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:eee:energy:v:162:y:2018:i:c:p:476-490. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.