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Power alignment function: Estimation and application to placement of energy storage systems

Rajendran, Sarangan
Bataduvaarachchi, Nirasha
Yogarathnam, Amirthagunaraj
Tamimi, Al
Aravinthan, Visvakumar
Vaishampayan, Vinay Anant
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Original Date
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Issue Date
2025-11-10
Type
Conference paper
Genre
Keywords
Battery energy storage,Capacity credit,Linear programming,Power alignment function,Wind energy
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Citation
S. Rajendran, N. Bataduvaarachchi, A. Yogarathnam, A. Tamimi, V. Aravinthan and V. A. Vaishampayan, "Power Alignment Function: Estimation and Application to Placement of Energy Storage Systems," 2025 IEEE Power & Energy Society General Meeting (PESGM), Austin, TX, USA, 2025, pp. 1-5, doi: 10.1109/PESGM52009.2025.11225309.
Abstract
The integration of renewable energy resources is central to meeting the growing demands of modern power systems. Energy storage systems play a crucial role in maximizing the utilization of renewable energy while reducing reliance on conventional energy sources. This study focuses on leveraging energy storage to eliminate the need for conventional energy sources in systems with substantial wind energy production. A Power Alignment Function (PAF) was developed to quantify the relationship between storage capacity and the energy required from a hypothetical peaker plant to meet excess demand, enabling the assessment of capacity credit using a time-series approach. Several statistical models were proposed to represent the input sequences to the PAF, and their performance was evaluated based on their predictive accuracy for the PAF. Lastly, the methodology was extended to determine the optimal placement of the storage unit within the test system under consideration. © 2025 IEEE.
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This is an open access article under the CC BY license.
Publisher
IEEE Computer Society
Journal
IEEE Power and Energy Society General Meeting
Book Title
Series
2025 IEEE Power and Energy Society General Meeting, PESGM 2025
2025-07-27 through 2025-07-31
Austin
215402
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Archival Collection
PubMed ID
ISSN
19449925
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