DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System
The decreasing cost of renewable energy resources and the developments in storage system technologies over recent years have increased the penetration of photovoltaic systems to face the high rise in the electricity load. Likewise, there has also been an increase in the demand for tools that make th...
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| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/12/4408 |
| _version_ | 1797487759578890240 |
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| author | Fernando García-Muñoz Miguel Alfaro Guillermo Fuertes Manuel Vargas |
| author_facet | Fernando García-Muñoz Miguel Alfaro Guillermo Fuertes Manuel Vargas |
| author_sort | Fernando García-Muñoz |
| collection | DOAJ |
| description | The decreasing cost of renewable energy resources and the developments in storage system technologies over recent years have increased the penetration of photovoltaic systems to face the high rise in the electricity load. Likewise, there has also been an increase in the demand for tools that make this integration process in the current power systems profitable. This paper proposes a mathematical model based on the DC optimal power flow equations to find the optimal capacity of the PV panels and batteries for a standalone system or a system supported by the grid, while the investment and the energy required by the grid are minimized. In this regard, five different locations have been used as case studies to measure the influence of the irradiance level on the PV-Battery capacity installed and on the economic indicators such as CAPEX, OPEX, NPV, IRR, and the payback period. Thus, a modified 14-bus system has been used to replicate the grid technical limitations and show that a PV-Battery system connected to the grid could produce 26.9% more savings than a standalone PV-Battery and that a location with irradiance levels over 6.08 (kWh/m<sup>2</sup>/yr) could reduce the payback period for two years. |
| first_indexed | 2024-03-09T23:52:21Z |
| format | Article |
| id | doaj.art-2dc0bde80be94680ab84c0d5bcc4d0fe |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:52:21Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2dc0bde80be94680ab84c0d5bcc4d0fe2023-11-23T16:30:42ZengMDPI AGEnergies1996-10732022-06-011512440810.3390/en15124408DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery SystemFernando García-Muñoz0Miguel Alfaro1Guillermo Fuertes2Manuel Vargas3Industrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, ChileIndustrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, ChileIndustrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, ChileIndustrial Engineering Department, University of Santiago de Chile, Avenida Ecuador 3769, Santiago 9170124, ChileThe decreasing cost of renewable energy resources and the developments in storage system technologies over recent years have increased the penetration of photovoltaic systems to face the high rise in the electricity load. Likewise, there has also been an increase in the demand for tools that make this integration process in the current power systems profitable. This paper proposes a mathematical model based on the DC optimal power flow equations to find the optimal capacity of the PV panels and batteries for a standalone system or a system supported by the grid, while the investment and the energy required by the grid are minimized. In this regard, five different locations have been used as case studies to measure the influence of the irradiance level on the PV-Battery capacity installed and on the economic indicators such as CAPEX, OPEX, NPV, IRR, and the payback period. Thus, a modified 14-bus system has been used to replicate the grid technical limitations and show that a PV-Battery system connected to the grid could produce 26.9% more savings than a standalone PV-Battery and that a location with irradiance levels over 6.08 (kWh/m<sup>2</sup>/yr) could reduce the payback period for two years.https://www.mdpi.com/1996-1073/15/12/4408distributed generationenergy storage systemspower system planningrenewable energy sources |
| spellingShingle | Fernando García-Muñoz Miguel Alfaro Guillermo Fuertes Manuel Vargas DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System Energies distributed generation energy storage systems power system planning renewable energy sources |
| title | DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System |
| title_full | DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System |
| title_fullStr | DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System |
| title_full_unstemmed | DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System |
| title_short | DC Optimal Power Flow Model to Assess the Irradiance Effect on the Sizing and Profitability of the PV-Battery System |
| title_sort | dc optimal power flow model to assess the irradiance effect on the sizing and profitability of the pv battery system |
| topic | distributed generation energy storage systems power system planning renewable energy sources |
| url | https://www.mdpi.com/1996-1073/15/12/4408 |
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