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Feasibility study on the integration of residential PV-battery systems in system peak load shaving: a case study in Iran
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  • Ali Ashoornezhad,
  • Hamid Falaghi,
  • Amin Hajizadeh,
  • Maryam Ramezani
Ali Ashoornezhad
University of Birjand

Corresponding Author:aliashoor@birjand.ac.ir

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Hamid Falaghi
University of Birjand
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Amin Hajizadeh
Aalborg Universitet
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Maryam Ramezani
University of Birjand
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Abstract

In this paper, the impact of residential photovoltaic (PV) battery systems in a real test system with the goal of system peak load shaving is investigated. In order to encourage residential investors, a Levelized feed-in tariff (LFiT) scheme is introduced. Accordingly, two proposed cases and relevant suggestions are presented to reach a better performance. The profitability of the project is apprised via several economic criteria such as net present value (NPV), payback period years (PBY), internal rate of return (IRR), benefit to cost ratio (BCR), net cash flow (NCF), and Levelized cost of energy (LCOE). Moreover, different levels of peak shaving subject to customers’ participation and the size of the PV-battery system are also obtained. An actual test system regarding one-year recorded data is employed to elevate the precise of results. Furthermore, results are economically compared with the current situation in the test system to assess the effectiveness of the suggested system. Obtained results determine the best size of PV and battery to attain the preferable profitability. Meanwhile, the LFiT with respect to the economic criteria is specified as well. Finally, a sensitivity analysis on systems’ parameters is performed to identify the impact of these parameters on economic indices.
20 Oct 2022Submitted to IET Generation, Transmission & Distribution
25 Oct 2022Submission Checks Completed
25 Oct 2022Assigned to Editor
23 Dec 2022Reviewer(s) Assigned
21 Feb 2023Review(s) Completed, Editorial Evaluation Pending
26 Feb 2023Editorial Decision: Revise Major
08 Apr 20231st Revision Received
13 Apr 2023Submission Checks Completed
13 Apr 2023Assigned to Editor
13 Apr 2023Reviewer(s) Assigned
13 Apr 2023Review(s) Completed, Editorial Evaluation Pending
18 Apr 2023Editorial Decision: Accept