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A multi-stage stochastic energy management of responsive irrigation pumps in dynamic electricity markets

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  • Golmohamadi, Hessam
  • Asadi, Amin

Abstract

The penetration of renewable resources, such as wind and solar energies, is increasing all over the world. Against the conventional thermal power systems, the intermittency and volatility of renewable energies are formidable challenges to the future power system operation. Therefore, future power systems need alternative forms of flexibility to hedge against intermittent power. Demand-side flexibility is a practical solution that attracted much attention in recent years. There is structural flexibility in electricity consumption, including residential, commercial, agricultural and industrial sectors, which can be integrated into future power systems. Against the literature on residential, commercial, and industrial sectors, agricultural flexibility is still a challenge in power systems. This paper aims to narrow this gap by proposing a responsive structure for agricultural irrigation systems. Achieve this aim, first of all, a mathematical model is proposed for responsive irrigation systems considering groundwater, surface and booster water pumps. After that, a multi-stage stochastic approach is addressed to schedule a time-oriented agricultural demand response program from 24 h ahead to near real-time. Then, a multi-layer structure is suggested to integrate the farm flexibility from the demand-side, i.e. responsive farms, into the supply-side, i.e. the dynamic electricity market, through a devised agricultural demand response aggregator. Finally, the approach is implemented in the Danish sector of the Nordic Electricity Market to show the applicability of the proposed framework. The results show that the proposed responsive irrigation system can provide great flexibility to power systems in comparison with traditional irrigation systems.

Suggested Citation

  • Golmohamadi, Hessam & Asadi, Amin, 2020. "A multi-stage stochastic energy management of responsive irrigation pumps in dynamic electricity markets," Applied Energy, Elsevier, vol. 265(C).
    • Handle: RePEc:eee:appene:v:265:y:2020:i:c:s0306261920303160
    DOI: 10.1016/j.apenergy.2020.114804
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    Cited by:

    1. Afshin Uossef Gomrokchi & Atefeh Parvaresh Rizi, 2021. "Flexibility of energy and water management in pressurized irrigation systems using dynamic modeling of pump operation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18232-18251, December.
    2. Hessam Golmohamadi, 2022. "Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    3. Hakan Acaroğlu & Fausto Pedro García Márquez, 2021. "Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy," Energies, MDPI, vol. 14(22), pages 1-23, November.
    4. Hakimi, Seyed Mehdi & Hasankhani, Arezoo & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Stochastic planning of a multi-microgrid considering integration of renewable energy resources and real-time electricity market," Applied Energy, Elsevier, vol. 298(C).
    5. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2020. "Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators," Applied Energy, Elsevier, vol. 279(C).
    6. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2021. "Robust self-scheduling of parking lot microgrids leveraging responsive electric vehicles," Applied Energy, Elsevier, vol. 290(C).
    7. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    8. Golmohamadi, Hessam, 2021. "Stochastic energy optimization of residential heat pumps in uncertain electricity markets," Applied Energy, Elsevier, vol. 303(C).
    9. Juan Sebastian Roncancio & José Vuelvas & Diego Patino & Carlos Adrián Correa-Flórez, 2022. "Flower Greenhouse Energy Management to Offer Local Flexibility Markets," Energies, MDPI, vol. 15(13), pages 1-20, June.
    10. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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