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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Bibliographic Details
Published inEnergies (Basel) Vol. 15; no. 12; p. 4408
Main Authors García-Muñoz, Fernando, Alfaro, Miguel, Fuertes, Guillermo, Vargas, Manuel
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2022
Subjects
Algorithms
Alternative energy sources
Batteries
Capital expenditures
Design
distributed generation
Economic indicators
Economics
Electric power systems
Electrical loads
Electricity
Electricity distribution
Energy efficiency
Energy resources
Energy sources
Energy storage
energy storage systems
Flow equations
Internal rate of return
Irradiance
Linear programming
Machine learning
Mathematical models
Net present value
Network topologies
Optimization
Payback periods
Photovoltaic cells
Photovoltaics
Power flow
Power supply
power system planning
renewable energy sources
Renewable resources
Solar energy
Wind power
Chile
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Summary: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/m2/yr) could reduce the payback period for two years.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15124408