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Operation Simulation and Economic Analysis of Household Hybrid PV and BESS Systems in the Improved TOU Mode

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  • Ziyi Zhao

    (Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2AZ, UK)

Abstract

With the popularization of electric vehicles and electric boilers, household electricity consumption will increase significantly. Household hybrid photovoltaic (PV) systems and battery energy storage systems (BESSs) can supply increasing household electricity consumption without expanding the existing distribution network. This paper validates the technical feasibility of connecting a large number of household power users that contain BESSs and PVs in a distribution line by a simulation in Matlab. In addition to technical feasibility, this article improves the time-of-use (TOU) form to achieve economic feasibility (covering equipment costs). In the past, the TOU was set from the perspective of the load demand of the grid, but the actual user participation would affect this effect. In this paper, based on a social science survey, a new three-level rate TOU is introduced, which has little impact on residents’ lifestyle, to effectively increase the response frequency effectively. Combined with the improved TOU and the state of PVs, the BESS control mode is set for simulation. To compare the three-tier rate TOU with the normal TOU tariff and select the best household BESS size, a MATLAB simulation is used to simulate the common household BESS capacity. The results indicate that the combination of the three-tier rate TOU with a 4 kWh household BESS can afford the investment of household PVs and BESSs. The high cost issue that previously primarily limited the true use of BESSs is expected to be resolved.

Suggested Citation

  • Ziyi Zhao, 2023. "Operation Simulation and Economic Analysis of Household Hybrid PV and BESS Systems in the Improved TOU Mode," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8853-:d:1160339
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    References listed on IDEAS

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    1. Noman Shabbir & Lauri Kütt & Kamran Daniel & Victor Astapov & Hadi Ashraf Raja & Muhammad Naveed Iqbal & Oleksandr Husev, 2022. "Feasibility Investigation for Residential Battery Sizing Considering EV Charging Demand," Sustainability, MDPI, vol. 14(3), pages 1-13, January.
    2. Fahad R. Albogamy & Sajjad Ali Khan & Ghulam Hafeez & Sadia Murawwat & Sheraz Khan & Syed Irtaza Haider & Abdul Basit & Klaus-Dieter Thoben, 2022. "Real-Time Energy Management and Load Scheduling with Renewable Energy Integration in Smart Grid," Sustainability, MDPI, vol. 14(3), pages 1-28, February.
    3. Toledo, Olga Moraes & Oliveira Filho, Delly & Diniz, Antônia Sônia Alves Cardoso, 2010. "Distributed photovoltaic generation and energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 506-511, January.
    4. Koskela, Juha & Rautiainen, Antti & Järventausta, Pertti, 2019. "Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization," Applied Energy, Elsevier, vol. 239(C), pages 1175-1189.
    5. Daniele Gallo & Carmine Landi & Mario Luiso & Rosario Morello, 2013. "Optimization of Experimental Model Parameter Identification for Energy Storage Systems," Energies, MDPI, vol. 6(9), pages 1-19, September.
    6. Neufeld, John L., 1987. "Price Discrimination and the Adoption of the Electricity Demand Charge," The Journal of Economic History, Cambridge University Press, vol. 47(3), pages 693-709, September.
    7. Javier Salles-Mardones & Alex Flores-Maradiaga & Mohamed A. Ahmed, 2022. "Feasibility Assessment of Photovoltaic Systems to Save Energy Consumption in Residential Houses with Electric Vehicles in Chile," Sustainability, MDPI, vol. 14(9), pages 1-26, April.
    8. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
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