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Coordinating the day-ahead operation scheduling for demand response and water desalination plants in smart grid

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  • Elsir, Mohamed
  • Al-Sumaiti, Ameena Saad
  • El Moursi, Mohamed Shawky
  • Al-Awami, Ali Taleb

Abstract

Integrating renewable energy resources (RES) is a challenge for power system operators due to their fluctuations and unpredictability. At the same time, the water shortage problem and the needs to desalinate more freshwater increase the prominence of sufficient energy resources for sustainable operation. Therefore, this paper presents a market-clearing mechanism in a co-optimization model that coordinates the operation of grid-connected reverse osmosis water desalination plants (RO-WDPs) and the operation of renewable-rich power systems. It is assumed that electric demands can participate in the provision of demand response (DR) to the market via multiple DR options. The DR options related to the general loads are demand shifting, load curtailment, distributed generation, and hybrid energy storage systems (HESS). These HESS includes battery storage and hydrogen storage systems. Pertaining to their special characteristics, a new DR option is proposed as a customized option for RO-WDPs. The market clearing mechanism is assumed to be based on the security-constrained unit commitment (SCUC) and formulated as a stochastic mixed-integer linear programming problem (MILP) to optimally schedule the day-ahead operation of the power system. The presented model is applied on 6-bus and IEEE 24-bus reliability test system (RTS) test power systems with significant penetration of RES to demonstrate its merits. The simulation results show that the system efficiency is enhanced by adding the energy flexibility of RO-WDP without endangering the water demand-supply when using the proposed coordinated model. Hence, the total operation cost is minimized, the RES integration is facilitated, and the hourly electricity prices are smoothened.

Suggested Citation

  • Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky & Al-Awami, Ali Taleb, 2023. "Coordinating the day-ahead operation scheduling for demand response and water desalination plants in smart grid," Applied Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:appene:v:335:y:2023:i:c:s0306261923001344
    DOI: 10.1016/j.apenergy.2023.120770
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    1. Novosel, T. & Ćosić, B. & Pukšec, T. & Krajačić, G. & Duić, N. & Mathiesen, B.V. & Lund, H. & Mustafa, M., 2015. "Integration of renewables and reverse osmosis desalination – Case study for the Jordanian energy system with a high share of wind and photovoltaics," Energy, Elsevier, vol. 92(P3), pages 270-278.
    2. Soleimanzade, Mohammad Amin & Kumar, Amit & Sadrzadeh, Mohtada, 2022. "Novel data-driven energy management of a hybrid photovoltaic-reverse osmosis desalination system using deep reinforcement learning," Applied Energy, Elsevier, vol. 317(C).
    3. Wang, Xuejie & Li, Bingkang & Wang, Yuwei & Lu, Hao & Zhao, Huiru & Xue, Wanlei, 2022. "A bargaining game-based profit allocation method for the wind-hydrogen-storage combined system," Applied Energy, Elsevier, vol. 310(C).
    4. Goodarzi, Mostafa & Li, Qifeng, 2022. "Evaluate the capacity of electricity-driven water facilities in small communities as virtual energy storage," Applied Energy, Elsevier, vol. 309(C).
    5. Zare Oskouei, Morteza & Mirzaei, Mohammad Amin & Mohammadi-Ivatloo, Behnam & Shafiee, Mahmood & Marzband, Mousa & Anvari-Moghaddam, Amjad, 2021. "A hybrid robust-stochastic approach to evaluate the profit of a multi-energy retailer in tri-layer energy markets," Energy, Elsevier, vol. 214(C).
    6. Liu, Xin & Li, Yang & Lin, Xueshan & Guo, Jiqun & Shi, Yunpeng & Shen, Yunwei, 2022. "Dynamic bidding strategy for a demand response aggregator in the frequency regulation market," Applied Energy, Elsevier, vol. 314(C).
    7. Zhang, Kai & Zhang, Yiyi & Xi, Shan & Liu, Jiefeng & Li, Jiashuo & Hou, Shengren & Chen, Bin, 2022. "Multi-objective optimization of energy-water nexus from spatial resource reallocation perspective in China," Applied Energy, Elsevier, vol. 314(C).
    8. Moazeni, Faegheh & Khazaei, Javad, 2020. "Dynamic economic dispatch of islanded water-energy microgrids with smart building thermal energy management system," Applied Energy, Elsevier, vol. 276(C).
    9. Anand, Himanshu & Narang, Nitin & Dhillon, J.S., 2018. "Profit based unit commitment using hybrid optimization technique," Energy, Elsevier, vol. 148(C), pages 701-715.
    10. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    11. Moazeni, Faegheh & Khazaei, Javad, 2021. "Optimal energy management of water-energy networks via optimal placement of pumps-as-turbines and demand response through water storage tanks," Applied Energy, Elsevier, vol. 283(C).
    12. Astriani, Yuli & Shafiullah, GM & Shahnia, Farhad, 2021. "Incentive determination of a demand response program for microgrids," Applied Energy, Elsevier, vol. 292(C).
    13. Woltmann, Stefan & Kittel, Julia, 2022. "Development and implementation of multi-agent systems for demand response aggregators in an industrial context," Applied Energy, Elsevier, vol. 314(C).
    14. Moazeni, Faegheh & Khazaei, Javad & Pera Mendes, Joao Paulo, 2020. "Maximizing energy efficiency of islanded micro water-energy nexus using co-optimization of water demand and energy consumption," Applied Energy, Elsevier, vol. 266(C).
    15. Segurado, R. & Madeira, J.F.A. & Costa, M. & Duić, N. & Carvalho, M.G., 2016. "Optimization of a wind powered desalination and pumped hydro storage system," Applied Energy, Elsevier, vol. 177(C), pages 487-499.
    16. Giudici, Federico & Castelletti, Andrea & Garofalo, Elisabetta & Giuliani, Matteo & Maier, Holger R., 2019. "Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands," Applied Energy, Elsevier, vol. 250(C), pages 605-616.
    17. Nawaz, Arshad & Zhou, Min & Wu, Jing & Long, Chengnian, 2022. "A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network," Applied Energy, Elsevier, vol. 323(C).
    18. Abdin, Zainul & Zafaranloo, Ali & Rafiee, Ahmad & Mérida, Walter & Lipiński, Wojciech & Khalilpour, Kaveh R., 2020. "Hydrogen as an energy vector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    19. Ioannis Karakitsios & Aris Dimeas & Nikos Hatziargyriou, 2020. "Optimal Management of the Desalination System Demand in Non-Interconnected Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    20. Xu, Fangyuan & Zhu, Weidong & Wang, Yi Fei & Lai, Chun Sing & Yuan, Haoliang & Zhao, Yujia & Guo, Siming & Fu, Zhengxin, 2022. "A new deregulated demand response scheme for load over-shifting city in regulated power market," Applied Energy, Elsevier, vol. 311(C).
    21. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "The impact of storage facility capacity and ramping capabilities on the supply side economic dispatch of the energy–water nexus," Energy, Elsevier, vol. 66(C), pages 363-377.
    22. Nguyen, Hai-Tra & Safder, Usman & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2022. "Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy," Applied Energy, Elsevier, vol. 322(C).
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    2. Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky, 2024. "Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid," Energy, Elsevier, vol. 293(C).

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