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Look-ahead risk-constrained scheduling of wind power integrated system with compressed air energy storage (CAES) plant

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  • Aliasghari, Parinaz
  • Zamani-Gargari, Milad
  • Mohammadi-Ivatloo, Behnam

Abstract

Due to increasing penetration of the renewable energy resources in modern power systems, the uncertain nature of these resources should be managed in real and near real-time scheduling. This paper investigates the benefits and applicability of look-ahead scheduling of integrated system including conventional generation units, wind power and compressed air energy storage (CAES). Different scenarios have been generated to model the uncertain parameters in the scheduling problem. To control and evaluate this stochastic process, the conditional value at risk (CVaR) framework has been implemented. Demand response programs have applied on the model to minimize the total cost and increase the flexibility requirement. This problem is formulated as mixed integer non-linear programming (MINLP) model with consideration of technical constraints of conventional generation, wind and CAES units. According to the numerical results, the operating profit could be maximized by the use of look-ahead approach and implementation of DR program.

Suggested Citation

  • Aliasghari, Parinaz & Zamani-Gargari, Milad & Mohammadi-Ivatloo, Behnam, 2018. "Look-ahead risk-constrained scheduling of wind power integrated system with compressed air energy storage (CAES) plant," Energy, Elsevier, vol. 160(C), pages 668-677.
    • Handle: RePEc:eee:energy:v:160:y:2018:i:c:p:668-677
    DOI: 10.1016/j.energy.2018.06.215
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    1. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    2. Kubik, M.L. & Coker, P.J. & Barlow, J.F. & Hunt, C., 2013. "A study into the accuracy of using meteorological wind data to estimate turbine generation output," Renewable Energy, Elsevier, vol. 51(C), pages 153-158.
    3. Cortés-Arcos, Tomás & Bernal-Agustín, José L. & Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Contreras, Javier, 2017. "Multi-objective demand response to real-time prices (RTP) using a task scheduling methodology," Energy, Elsevier, vol. 138(C), pages 19-31.
    4. 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.
    5. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    6. Abbaspour, M. & Satkin, M. & Mohammadi-Ivatloo, B. & Hoseinzadeh Lotfi, F. & Noorollahi, Y., 2013. "Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)," Renewable Energy, Elsevier, vol. 51(C), pages 53-59.
    7. Jabari, Farkhondeh & Nojavan, Sayyad & Mohammadi Ivatloo, Behnam, 2016. "Designing and optimizing a novel advanced adiabatic compressed air energy storage and air source heat pump based μ-Combined Cooling, heating and power system," Energy, Elsevier, vol. 116(P1), pages 64-77.
    8. Bouman, Evert A. & Øberg, Martha M. & Hertwich, Edgar G., 2016. "Environmental impacts of balancing offshore wind power with compressed air energy storage (CAES)," Energy, Elsevier, vol. 95(C), pages 91-98.
    9. Safaei, Hossein & Keith, David, 2014. "Compressed air energy storage with waste heat export: An Alberta case study," Scholarly Articles 13489207, Harvard Kennedy School of Government.
    10. Chen, Jie & Liu, Wei & Jiang, Deyi & Zhang, Junwei & Ren, Song & Li, Lin & Li, Xiaokang & Shi, Xilin, 2017. "Preliminary investigation on the feasibility of a clean CAES system coupled with wind and solar energy in China," Energy, Elsevier, vol. 127(C), pages 462-478.
    11. Hemmati, Reza & Saboori, Hedayat & Saboori, Saeid, 2016. "Stochastic risk-averse coordinated scheduling of grid integrated energy storage units in transmission constrained wind-thermal systems within a conditional value-at-risk framework," Energy, Elsevier, vol. 113(C), pages 762-775.
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