IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2019i1p158-d302956.html
   My bibliography  Save this article

Energy Storage System Analysis Review for Optimal Unit Commitment

Author

Listed:
  • Harun Or Rashid Howlader

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Oludamilare Bode Adewuyi

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Ying-Yi Hong

    (Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan)

  • Paras Mandal

    (Department of Electrical and Computer Engineering, University of Texas, El Paso, TX 79968, USA)

  • Ashraf Mohamed Hemeida

    (Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Tomonobu Senjyu

    (Graduate School of Science and Engineering, University of the Ryukyus, Okinawa 903-0213, Japan)

Abstract

Energy storage systems (ESSs) are essential to ensure continuity of energy supply and maintain the reliability of modern power systems. Intermittency and uncertainty of renewable generations due to fluctuating weather conditions as well as uncertain behavior of load demand make ESSs an integral part of power system flexibility management. Typically, the load demand profile can be categorized into peak and off-peak periods, and adding power from renewable generations makes the load-generation dynamics more complicated. Therefore, the thermal generation (TG) units need to be turned on and off more frequently to meet the system load demand. In view of this, several research efforts have been directed towards analyzing the benefits of ESSs in solving optimal unit commitment (UC) problems, minimizing operating costs, and maximizing profits while ensuring supply reliability. In this paper, some recent research works and relevant UC models incorporating ESSs towards solving the abovementioned power system operational issues are reviewed and summarized to give prospective researchers a clear concept and tip-off on finding efficient solutions for future power system flexibility management. Conclusively, an example problem is simulated for the visualization of the formulation of UC problems with ESSs and solutions.

Suggested Citation

  • Harun Or Rashid Howlader & Oludamilare Bode Adewuyi & Ying-Yi Hong & Paras Mandal & Ashraf Mohamed Hemeida & Tomonobu Senjyu, 2019. "Energy Storage System Analysis Review for Optimal Unit Commitment," Energies, MDPI, vol. 13(1), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:158-:d:302956
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/1/158/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/1/158/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moghaddas Tafreshi, Seyed Masoud & Ranjbarzadeh, Hassan & Jafari, Mehdi & Khayyam, Hamid, 2016. "A probabilistic unit commitment model for optimal operation of plug-in electric vehicles in microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 934-947.
    2. Shahbazitabar, Maryam & Abdi, Hamdi, 2018. "A novel priority-based stochastic unit commitment considering renewable energy sources and parking lot cooperation," Energy, Elsevier, vol. 161(C), pages 308-324.
    3. Holger C. Hesse & Volkan Kumtepeli & Michael Schimpe & Jorn Reniers & David A. Howey & Anshuman Tripathi & Youyi Wang & Andreas Jossen, 2019. "Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming †," Energies, MDPI, vol. 12(6), pages 1-28, March.
    4. Dong, Yanli & Shimada, Koji, 2017. "Evolution from the renewable portfolio standards to feed-in tariff for the deployment of renewable energy in Japan," Renewable Energy, Elsevier, vol. 107(C), pages 590-596.
    5. Wang, Jinwen & Guo, Min & Liu, Yong, 2018. "Hydropower unit commitment with nonlinearity decoupled from mixed integer nonlinear problem," Energy, Elsevier, vol. 150(C), pages 839-846.
    6. Razavi, Seyed-Ehsan & Esmaeel Nezhad, Ali & Mavalizadeh, Hani & Raeisi, Fatima & Ahmadi, Abdollah, 2018. "Robust hydrothermal unit commitment: A mixed-integer linear framework," Energy, Elsevier, vol. 165(PB), pages 593-602.
    7. Anand, Himanshu & Narang, Nitin & Dhillon, J.S., 2019. "Multi-objective combined heat and power unit commitment using particle swarm optimization," Energy, Elsevier, vol. 172(C), pages 794-807.
    8. Azizipanah-Abarghooee, Rasoul & Golestaneh, Faranak & Gooi, Hoay Beng & Lin, Jeremy & Bavafa, Farhad & Terzija, Vladimir, 2016. "Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power," Applied Energy, Elsevier, vol. 182(C), pages 634-651.
    9. Feng, Zhong-kai & Niu, Wen-jing & Wang, Wen-chuan & Zhou, Jian-zhong & Cheng, Chun-tian, 2019. "A mixed integer linear programming model for unit commitment of thermal plants with peak shaving operation aspect in regional power grid lack of flexible hydropower energy," Energy, Elsevier, vol. 175(C), pages 618-629.
    10. Abujarad, Saleh Y. & Mustafa, M.W. & Jamian, J.J., 2017. "Recent approaches of unit commitment in the presence of intermittent renewable energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 215-223.
    11. Gerrit Erichsen & Tobias Zimmermann & Alfons Kather, 2019. "Effect of Different Interval Lengths in a Rolling Horizon MILP Unit Commitment with Non-Linear Control Model for a Small Energy System," Energies, MDPI, vol. 12(6), pages 1-24, March.
    12. Hee-Jun Cha & Sung-Eun Lee & Dongjun Won, 2019. "Implementation of Optimal Scheduling Algorithm for Multi-Functional Battery Energy Storage System," Energies, MDPI, vol. 12(7), pages 1-17, April.
    13. Furukakoi, Masahiro & Adewuyi, Oludamilare Bode & Matayoshi, Hidehito & Howlader, Abdul Motin & Senjyu, Tomonobu, 2018. "Multi objective unit commitment with voltage stability and PV uncertainty," Applied Energy, Elsevier, vol. 228(C), pages 618-623.
    14. Mustafa Cagatay Kocer & Ceyhun Cengiz & Mehmet Gezer & Doruk Gunes & Mehmet Aytac Cinar & Bora Alboyaci & Ahmet Onen, 2019. "Assessment of Battery Storage Technologies for a Turkish Power Network," Sustainability, MDPI, vol. 11(13), pages 1-33, July.
    15. Banshwar, Anuj & Sharma, Naveen Kumar & Sood, Yog Raj & Shrivastava, Rajnish, 2019. "Market-based participation of energy storage scheme to support renewable energy sources for the procurement of energy and spinning reserve," Renewable Energy, Elsevier, vol. 135(C), pages 326-344.
    16. Sirote Khunkitti & Neville R. Watson & Rongrit Chatthaworn & Suttichai Premrudeepreechacharn & Apirat Siritaratiwat, 2019. "An Improved DA-PSO Optimization Approach for Unit Commitment Problem," Energies, MDPI, vol. 12(12), pages 1-23, June.
    17. Howlader, Harun Or Rashid & Matayoshi, Hidehito & Senjyu, Tomonobu, 2016. "Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid," Renewable Energy, Elsevier, vol. 99(C), pages 107-117.
    18. Karhinen, S. & Huuki, H., 2019. "Private and social benefits of a pumped hydro energy storage with increasing amount of wind power," Energy Economics, Elsevier, vol. 81(C), pages 942-959.
    19. Richard Li-Yang Chen & Neng Fan & Ali Pinar & Jean-Paul Watson, 2017. "Contingency-constrained unit commitment with post-contingency corrective recourse," Annals of Operations Research, Springer, vol. 249(1), pages 381-407, February.
    20. Gallego-Castillo, Cristobal & Cuerva-Tejero, Alvaro & Lopez-Garcia, Oscar, 2015. "A review on the recent history of wind power ramp forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1148-1157.
    21. Anand, Himanshu & Narang, Nitin & Dhillon, J.S., 2018. "Profit based unit commitment using hybrid optimization technique," Energy, Elsevier, vol. 148(C), pages 701-715.
    22. 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.
    23. Woo Yeong Choi & Kyung Soo Kook & Ga Ram Yu, 2019. "Control Strategy of BESS for Providing Both Virtual Inertia and Primary Frequency Response in the Korean Power System," Energies, MDPI, vol. 12(21), pages 1-17, October.
    24. Adewuyi, Oludamilare Bode & Lotfy, Mohammed E. & Akinloye, Benjamin Olabisi & Rashid Howlader, Harun Or & Senjyu, Tomonobu & Narayanan, Krishna, 2019. "Security-constrained optimal utility-scale solar PV investment planning for weak grids: Short reviews and techno-economic analysis," Applied Energy, Elsevier, vol. 245(C), pages 16-30.
    25. Razeghi, Ghazal & Shaffer, Brendan & Samuelsen, Scott, 2017. "Impact of electricity deregulation in the state of California," Energy Policy, Elsevier, vol. 103(C), pages 105-115.
    26. Shunjiang Lin & Guansheng Fan & Yuan Lu & Mingbo Liu & Yi Lu & Qifeng Li, 2019. "A Mixed-Integer Convex Programming Algorithm for Security-Constrained Unit Commitment of Power System with 110-kV Network and Pumped-Storage Hydro Units," Energies, MDPI, vol. 12(19), pages 1-24, September.
    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. Mahmoud G. Hemeida & Salem Alkhalaf & Al-Attar A. Mohamed & Abdalla Ahmed Ibrahim & Tomonobu Senjyu, 2020. "Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)," Energies, MDPI, vol. 13(15), pages 1-37, July.
    2. Handrea Bernando Tambunan & Dzikri Firmansyah Hakam & Iswan Prahastono & Anita Pharmatrisanti & Andreas Putro Purnomoadi & Siti Aisyah & Yonny Wicaksono & I Gede Ryan Sandy, 2020. "The Challenges and Opportunities of Renewable Energy Source (RES) Penetration in Indonesia: Case Study of Java-Bali Power System," Energies, MDPI, vol. 13(22), pages 1-22, November.
    3. Hamza Ayaz & Veerakumar Chinnasamy & Junhyeok Yong & Honghyun Cho, 2021. "Review of Technologies and Recent Advances in Low-Temperature Sorption Thermal Storage Systems," Energies, MDPI, vol. 14(19), pages 1-36, September.

    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. Nikolaidis, Pavlos & Poullikkas, Andreas, 2021. "A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement," Energy, Elsevier, vol. 234(C).
    2. 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.
    3. Pan, Jeng-Shyang & Hu, Pei & Chu, Shu-Chuan, 2021. "Binary fish migration optimization for solving unit commitment," Energy, Elsevier, vol. 226(C).
    4. 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).
    5. Papadimitrakis, M. & Giamarelos, N. & Stogiannos, M. & Zois, E.N. & Livanos, N.A.-I. & Alexandridis, A., 2021. "Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    6. 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).
    7. Liu, Yikui & Wu, Lei & Li, Jie, 2019. "Towards accurate modeling of dynamic startup/shutdown and ramping processes of thermal units in unit commitment problems," Energy, Elsevier, vol. 187(C).
    8. Iram Parvez & Jianjian Shen & Ishitaq Hassan & Nannan Zhang, 2021. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant," Energies, MDPI, vol. 14(2), pages 1-28, January.
    9. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Zhao, Xin & Liu, Yu & Guo, Yasen & Wang, Sicheng, 2020. "A novel robust security constrained unit commitment model considering HVDC regulation," Applied Energy, Elsevier, vol. 278(C).
    10. Morshed, Mohammad Javad & Hmida, Jalel Ben & Fekih, Afef, 2018. "A probabilistic multi-objective approach for power flow optimization in hybrid wind-PV-PEV systems," Applied Energy, Elsevier, vol. 211(C), pages 1136-1149.
    11. 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).
    12. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
    13. Veerasamy, Veerapandiyan & Abdul Wahab, Noor Izzri & Ramachandran, Rajeswari & Othman, Mohammad Lutfi & Hizam, Hashim & Devendran, Vidhya Sagar & Irudayaraj, Andrew Xavier Raj & Vinayagam, Arangarajan, 2021. "Recurrent network based power flow solution for voltage stability assessment and improvement with distributed energy sources," Applied Energy, Elsevier, vol. 302(C).
    14. Junjie Jia & Nan Yang & Chao Xing & Haoze Chen & Songkai Liu & Yuehua Huang & Binxin Zhu, 2019. "An Improved Constrained Order Optimization Algorithm for Uncertain SCUC Problem Solving," Energies, MDPI, vol. 12(23), pages 1-19, November.
    15. Marcin Pluta & Artur Wyrwa & Wojciech Suwała & Janusz Zyśk & Maciej Raczyński & Stanisław Tokarski, 2020. "A Generalized Unit Commitment and Economic Dispatch Approach for Analysing the Polish Power System under High Renewable Penetration," Energies, MDPI, vol. 13(8), pages 1-18, April.
    16. Ma, Yixiang & Yu, Lean & Zhang, Guoxing, 2022. "Short-term wind power forecasting with an intermittency-trait-driven methodology," Renewable Energy, Elsevier, vol. 198(C), pages 872-883.
    17. Zhang, Heng & Hu, Xiao & Cheng, Haozhong & Zhang, Shenxi & Hong, Shaoyun & Gu, Qingfa, 2021. "Coordinated scheduling of generators and tie lines in multi-area power systems under wind energy uncertainty," Energy, Elsevier, vol. 222(C).
    18. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Liu, Yu & Wu, Chuanshen & Wang, Sicheng, 2021. "Congestion-aware robust security constrained unit commitment model for AC-DC grids," Applied Energy, Elsevier, vol. 304(C).
    19. Pavlos Nikolaidis & Harris Partaourides, 2021. "A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services," Forecasting, MDPI, vol. 3(1), pages 1-14, March.
    20. Doubleday, Kate & Lara, José Daniel & Hodge, Bri-Mathias, 2022. "Investigation of stochastic unit commitment to enable advanced flexibility measures for high shares of solar PV," Applied Energy, Elsevier, vol. 321(C).

    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:jeners:v:13:y:2019:i:1:p:158-:d:302956. 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.