Abstract
Integration of an energy storage system (ESS) into a large-scale grid-connected photovoltaic (PV) power plant is highly desirable to improve performance of the system and overcome the stochastic nature of PV power generation. Algorithms to size ESS within an integrated PV and ESS (PV+ESS) power plant, conventionally, require a large number of high-resolution samples of PV generation. These algorithms are computationally expensive. In this paper, a two-day optimization algorithm that utilizes n-step constant power output dispatch every day from the PV+ESS power plant is proposed to size the ESS. Additionally, an n-step power dispatch every day through the one-year timeframe based optimization of the size of ESS is also performed. The proposed methods are computationally cheaper and provide acceptable accuracy with respect to the conventional sizing methods. The economics identified from the proposed methods are compared with the typical day-ahead hourly dispatch-based power production from the PV+ESS power plant. This comparison has shown similar economic performance showcasing the accuracy of the proposed methods in sizing the ESS. It also shows the potential for operating PV+ESS power plant in n-step constant power generation mode.
Original language | English |
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Title of host publication | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728131030 |
DOIs | |
State | Published - Feb 2020 |
Event | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States Duration: Feb 17 2020 → Feb 20 2020 |
Publication series
Name | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 |
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Conference
Conference | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 |
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Country/Territory | United States |
City | Washington |
Period | 02/17/20 → 02/20/20 |
Funding
This paper is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number 34019. The authors acknowledge Dr. Jiuping Pan from ABB and Dr. Sudipta Chakraborty from Opal-RT for their valuable inputs in this work. Authors would also like to thank Dr. Jian Fu and Dr. Hariharan Krishnaswami for overseeing the project developments and providing guidance. ACKNOWLEDGEMENT This paper is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number 34019. The authors acknowledge Dr. Jiuping Pan from ABB and Dr. Sudipta Chakraborty from Opal-RT for their valuable inputs in this work. Authors would also like to thank Dr. Jian Fu and Dr. Hariharan Krishnaswami for overseeing the project developments and providing guidance.
Keywords
- Energy storage
- Large-scale photovoltaics (PV) plant
- Optimum sizing
- Power generation scheduling