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Coordination of pumped-storage unit and irrigation system with intermittent wind generation for intelligent energy management of an agricultural microgrid

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  • Ghasemi, Ahmad

Abstract

This paper presents a new coordination framework to optimize the joint operation of pumped-storage unit, irrigation system and intermittent wind power generation in an agricultural microgrid. The microgrid is an agricultural complex connected to the medium voltage network. This complex contains a farm needing water to be irrigated every day. The irrigation system has two large scale reservoirs located in different levels. These reservoirs have been planned to act as pumped-storage unit reservoirs. The microgrid contains different electrical loads such as industrial livestock, agricultural products packaging factory, drip irrigation system, lighting and other small loads. The microgrid is connected to the upstream network at the grid supply point (GSP) and supplies loads with power from the upstream network and a wind power unit located in the farm. The proposed framework optimizes day-ahead (DA) scheduling of power exchange with the upstream network, pumped-storage unit and irrigation system based on forecasted wind power, microgrid load demand and water needed for irrigation in a market environment. The two-point estimate method (TPEM) is implemented to model the uncertainties associated with wind power and wholesale market prices. Finally, the effectiveness of the proposed framework is evaluated on several case studies.

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  • Ghasemi, Ahmad, 2018. "Coordination of pumped-storage unit and irrigation system with intermittent wind generation for intelligent energy management of an agricultural microgrid," Energy, Elsevier, vol. 142(C), pages 1-13.
    • Handle: RePEc:eee:energy:v:142:y:2018:i:c:p:1-13
    DOI: 10.1016/j.energy.2017.09.146
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    10. Javed, Muhammad Shahzad & Ma, Tao & Jurasz, Jakub & Amin, Muhammad Yasir, 2020. "Solar and wind power generation systems with pumped hydro storage: Review and future perspectives," Renewable Energy, Elsevier, vol. 148(C), pages 176-192.
    11. Ludmil Stoyanov & Ivan Bachev & Zahari Zarkov & Vladimir Lazarov & Gilles Notton, 2021. "Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes," Energies, MDPI, vol. 14(11), pages 1-28, May.
    12. Shahryari, E. & Shayeghi, H. & Mohammadi-ivatloo, B. & Moradzadeh, M., 2019. "A copula-based method to consider uncertainties for multi-objective energy management of microgrid in presence of demand response," Energy, Elsevier, vol. 175(C), pages 879-890.
    13. Zhu, Junjie & Huang, Shengjun & Liu, Yajie & Lei, Hongtao & Sang, Bo, 2021. "Optimal energy management for grid-connected microgrids via expected-scenario-oriented robust optimization," Energy, Elsevier, vol. 216(C).
    14. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Ekanayake, J.B. & Tiong, S.K., 2021. "Variable speed pumped hydro storage: A review of converters, controls and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    15. Fei Wang & Lidong Zhou & Hui Ren & Xiaoli Liu, 2017. "Search Improvement Process-Chaotic Optimization-Particle Swarm Optimization-Elite Retention Strategy and Improved Combined Cooling-Heating-Power Strategy Based Two-Time Scale Multi-Objective Optimizat," Energies, MDPI, vol. 10(12), pages 1-23, November.
    16. Mansour-lakouraj, Mohammad & Shahabi, Majid, 2019. "Comprehensive analysis of risk-based energy management for dependent micro-grid under normal and emergency operations," Energy, Elsevier, vol. 171(C), pages 928-943.
    17. Lin, Zhiyi & Song, Chunyue & Zhao, Jun & Yin, Huan, 2022. "Improved approximate dynamic programming for real-time economic dispatch of integrated microgrids," Energy, Elsevier, vol. 255(C).
    18. Yahia, Zakaria & Pradhan, Anup, 2020. "Simultaneous and sequential stochastic optimization approaches for pumped storage plant scheduling with random breakdowns," Energy, Elsevier, vol. 204(C).
    19. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    20. Zhang, M.Y. & Chen, J.J. & Yang, Z.J. & Peng, K. & Zhao, Y.L. & Zhang, X.H., 2021. "Stochastic day-ahead scheduling of irrigation system integrated agricultural microgrid with pumped storage and uncertain wind power," Energy, Elsevier, vol. 237(C).
    21. Mahfoud, Rabea Jamil & Alkayem, Nizar Faisal & Zhang, Yuquan & Zheng, Yuan & Sun, Yonghui & Alhelou, Hassan Haes, 2023. "Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    22. Omid Abrishambaf & Pedro Faria & Zita Vale & Juan M. Corchado, 2019. "Energy Scheduling Using Decision Trees and Emulation: Agriculture Irrigation with Run-of-the-River Hydroelectricity and a PV Case Study," Energies, MDPI, vol. 12(20), pages 1-21, October.
    23. Fawad Azeem & Ashfaq Ahmad & Taimoor Muzaffar Gondal & Jehangir Arshad & Ateeq Ur Rehman & Elsayed M. Tag Eldin & Muhammad Shafiq & Habib Hamam, 2022. "Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach," Energies, MDPI, vol. 15(17), pages 1-19, September.
    24. Mercedes Garcia, Angel V. & Sánchez-Romero, Francisco Javier & López-Jiménez, P. Amparo & Pérez-Sánchez, Modesto, 2022. "A new optimization approach for the use of hybrid renewable systems in the search of the zero net energy consumption in water irrigation systems," Renewable Energy, Elsevier, vol. 195(C), pages 853-871.

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