ASEE PEER - SOLAR FARM UTILIZING A BATTERY ENERGY STORAGE SYSTEM
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SOLAR FARM UTILIZING A BATTERY ENERGY STORAGE SYSTEM

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Conference

2024 ASEE PSW Conference

Location

Las Vegas, Nevada

Publication Date

April 18, 2024

Start Date

April 18, 2024

End Date

April 20, 2024

DOI

10.18260/1-2--46058

Permanent URL

https://peer.asee.org/46058

Paper Authors

biography

Majid Poshtan California Polytechnic State University, San Luis Obispo Orcid 16x16 orcid.org/0000-0002-0156-4663

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Dr. Majid Poshtan obtained his Ph.D. in EECE from Tulane University, New Orleans, USA, in 2000. Dr. Poshtan has over 23 years of experience in EE academics and the industry. He is an expert in electric power systems, transmission planning, fault analysis and protection design, power system reliability analysis, and electric machines.

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Ali Dehghan-Banadaki California Polytechnic State University, San Luis Obispo

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Taufik Taufik California Polytechnic State University, San Luis Obispo Orcid 16x16 orcid.org/0000-0002-3238-4542

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Dr. Taufik received his B.S. in Electrical Engineering with minor in Computer Science from Northern Arizona University in 1993, M.S. in Electrical Engineering from University of Illinois, Chicago in 1995, and Doctor of Engineering in Electrical Engineering from Cleveland State University in 1999.

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Abstract

In this paper, the authors present a full study on designing an efficient solar farm with integrated battery energy storage, covering a 4000 m² area in the Los Angeles area. The research focuses on optimizing three critical aspects: (a) the arrangement of PV panels for maximum solar energy capture, (b) the electrical circuitry topology, and (c) the selection of an inverter scheme for efficient battery charging. We considered the impact of peak electric load shaving on the local electric power provider, considering variable kWh pricing throughout the day. The authors explored the effects of local azimuth angles, farm geometry, and PV panel orientation. We also compared full-cell and half-cell module configurations, focusing on the number and arrangement of cells and bypass diodes in these modules. A detailed analysis was conducted to determine the optimal module type for this project. Six solar farm designs were proposed, including fixed-tilt and single-axis tracking systems. Two simulation software tools, REopt and System Advisor Model (SAM), were evaluated for their effectiveness in modeling these designs. SAM was ultimately selected for its accuracy in predicting key performance metrics such as annual energy production, capacity factor, DC to AC ratio, and levelized energy cost. The final design achieved optimal performance metrics and included a suitably sized battery energy storage system, aligning with the project's requirements. This paper offers insights into the design and optimization of solar farms, contributing significantly to the field of renewable energy engineering.

Poshtan, M., & Dehghan-Banadaki, A., & Taufik, T. (2024, April), SOLAR FARM UTILIZING A BATTERY ENERGY STORAGE SYSTEM Paper presented at 2024 ASEE PSW Conference, Las Vegas, Nevada. 10.18260/1-2--46058

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