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Residential electricity cost minimization model through open well-pico turbine pumped storage system

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  • Anilkumar, T.T.
  • Simon, Sishaj P.
  • Padhy, Narayana Prasad

Abstract

A residential electricity cost minimization model is proposed which can be implemented in a suburban setup where open wells are present for domestic needs. Here, a solar photo voltaic (SPV) system with pico hydro turbines (PHTs) and pump are used for minimizing the monthly electricity bill in a dynamic electricity pricing environment. Also, the available water in the open well is optimally used in order to minimize the residential electricity cost. In situations when either the price of the energy from the grid is low or when the available energy from the SPV system is in excess of the demand, the proposed model stores the energy in the form of gravitational potential energy of water in a reservoir. The stored energy is then retrieved using PHTs which feeds the load at the time when the energy price is high. The depth of the well is used as the working head for the operation of turbines and are optimally scheduled in order to minimize the water flow rate (WFR). The two fold objectives, i.e., minimizing the electricity cost and minimizing the WFR, is converted into a single objective function and is solved using particle swarm optimization (PSO). The payback period for the proposed system, if implemented, is also investigated as a case study in India.

Suggested Citation

  • Anilkumar, T.T. & Simon, Sishaj P. & Padhy, Narayana Prasad, 2017. "Residential electricity cost minimization model through open well-pico turbine pumped storage system," Applied Energy, Elsevier, vol. 195(C), pages 23-35.
    • Handle: RePEc:eee:appene:v:195:y:2017:i:c:p:23-35
    DOI: 10.1016/j.apenergy.2017.03.020
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    5. Ahsan, Syed M. & Khan, Hassan A. & Hassan, Naveed-ul & Arif, Syed M. & Lie, Tek-Tjing, 2020. "Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts," Applied Energy, Elsevier, vol. 273(C).
    6. 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.
    7. Pali, Bahadur Singh & Vadhera, Shelly, 2018. "A novel pumped hydro-energy storage scheme with wind energy for power generation at constant voltage in rural areas," Renewable Energy, Elsevier, vol. 127(C), pages 802-810.
    8. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Guerrero, Josep M. & David Agundis Tinajero, Gibran, 2022. "Synergizing pico hydel and battery energy storage with adaptive synchronverter control for frequency regulation of autonomous microgrids," Applied Energy, Elsevier, vol. 325(C).
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    10. 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).
    11. Mousavi, Navid & Kothapalli, Ganesh & Habibi, Daryoush & Khiadani, Mehdi & Das, Choton K., 2019. "An improved mathematical model for a pumped hydro storage system considering electrical, mechanical, and hydraulic losses," Applied Energy, Elsevier, vol. 247(C), pages 228-236.
    12. Mensah, Johnson Herlich Roslee & Santos, Ivan Felipe Silva dos & Raimundo, Danielle Rodrigues & Costa de Oliveira Botan, Maria Cláudia & Barros, Regina Mambeli & Tiago Filho, Geraldo Lucio, 2022. "Energy and economic study of using Pumped Hydropower Storage with renewable resources to recover the Furnas reservoir," Renewable Energy, Elsevier, vol. 199(C), pages 320-334.
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