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Energy management of a grid-connected hydrokinetic system under Time of Use tariff

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  • Kusakana, Kanzumba

Abstract

In this work, the optimal power scheduling for a grid-connected hydrokinetic-battery hybrid system is proposed to sufficiently explore hydrokinetic energy and to benefit customers at demand side. The developed model for the hybrid system’s optimal power flow management aims to minimize electricity cost subject to the power balance, hydrokinetic and battery storage outputs as well as other operational constraints. With respect to demand side management, an optimal control method is developed to schedule the power flow of hybrid system over 24-h. Simulations are performed using MATLAB (R2016a), and the results demonstrate that operating the proposed hybrid system under the developed optimal energy management model can reduce the operation cost and allow consumers to generate substantial income by selling power to the grid.

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  • Kusakana, Kanzumba, 2017. "Energy management of a grid-connected hydrokinetic system under Time of Use tariff," Renewable Energy, Elsevier, vol. 101(C), pages 1325-1333.
    • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:1325-1333
    DOI: 10.1016/j.renene.2016.10.019
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    3. Sourav Khanna & Victor Becerra & Adib Allahham & Damian Giaouris & Jamie M. Foster & Keiron Roberts & David Hutchinson & Jim Fawcett, 2020. "Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study," Energies, MDPI, vol. 13(3), pages 1-27, January.
    4. Stefan Arens & Karen Derendorf & Frank Schuldt & Karsten Von Maydell & Carsten Agert, 2018. "Effect of EV Movement Schedule and Machine Learning-Based Load Forecasting on Electricity Cost of a Single Household," Energies, MDPI, vol. 11(11), pages 1-19, October.
    5. Awais Manzoor & Nadeem Javaid & Ibrar Ullah & Wadood Abdul & Ahmad Almogren & Atif Alamri, 2017. "An Intelligent Hybrid Heuristic Scheme for Smart Metering based Demand Side Management in Smart Homes," Energies, MDPI, vol. 10(9), pages 1-28, August.
    6. Kusakana, Kanzumba, 2020. "Optimal energy management of a grid-connected dual-tracking photovoltaic system with battery storage: Case of a microbrewery under demand response," Energy, Elsevier, vol. 212(C).
    7. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Mohammed, Mohd Fayzul & Ramli, Makbul A.M., 2020. "Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq," Energy, Elsevier, vol. 191(C).
    8. Puertas-Frías, Carmen M. & Willson, Clinton S. & García-Salaberri, Pablo A., 2022. "Design and economic analysis of a hydrokinetic turbine for household applications," Renewable Energy, Elsevier, vol. 199(C), pages 587-598.
    9. Duchaud, Jean-Laurent & Notton, Gilles & Darras, Christophe & Voyant, Cyril, 2018. "Power ramp-rate control algorithm with optimal State of Charge reference via Dynamic Programming," Energy, Elsevier, vol. 149(C), pages 709-717.

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