Impacts of Control Set-Points on Battery Energy Storage Performance for Peak Shaving Application

Michael Emmanuel; Akshay Jain; Richard Bryce; Aadil Latif; Shibani Ghosh; Adarsh Nagarajan

doi:10.1109/PVSC45281.2020.9301022

Impacts of Control Set-Points on Battery Energy Storage Performance for Peak Shaving Application

Michael Emmanuel, Akshay Jain, Richard Bryce, Aadil Latif, Shibani Ghosh, Adarsh Nagarajan

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This article presents the impact of battery energy storage system's (BESS) control triggers on its performance during peak shaving application. With the increasing deployment of BESS for load leveling and grid capacity relief, the sensitivity of BESS performance to its set-points is yet to be investigated. Most utilities have defined thresholds to activate BESS discharging for peak demand leveling and baseload BESS charging. However, this study shows that without using optimal set-points for control applications, the BESS can remain under-utilized. In this work, simulation results of the peak shaving algorithm implementation in 30-minute time step over a period of 10 years show the impact of different BESS control set-points on distribution transformer loading, line and system losses.

Original language	American English
Pages	2703-2707
Number of pages	5
DOIs	https://doi.org/10.1109/PVSC45281.2020.9301022 https://doi.org/10.1109/PVSC45281.2020.9301022
State	Published - 14 Jun 2020
Event	47th IEEE Photovoltaic Specialists Conference, PVSC 2020 - Calgary, Canada Duration: 15 Jun 2020 → 21 Aug 2020

Conference

Conference	47th IEEE Photovoltaic Specialists Conference, PVSC 2020
Country/Territory	Canada
City	Calgary
Period	15/06/20 → 21/08/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

NREL Publication Number

NREL/CP-5D00-76940

Keywords

Battery energy storage system
grid capacity relief
load leveling
peak shaving control

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Emmanuel, M., Jain, A., Bryce, R., Latif, A., Ghosh, S., & Nagarajan, A. (2020). Impacts of Control Set-Points on Battery Energy Storage Performance for Peak Shaving Application. 2703-2707. Paper presented at 47th IEEE Photovoltaic Specialists Conference, PVSC 2020, Calgary, Canada. https://doi.org/10.1109/PVSC45281.2020.9301022, https://doi.org/10.1109/PVSC45281.2020.9301022

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abstract = "This article presents the impact of battery energy storage system's (BESS) control triggers on its performance during peak shaving application. With the increasing deployment of BESS for load leveling and grid capacity relief, the sensitivity of BESS performance to its set-points is yet to be investigated. Most utilities have defined thresholds to activate BESS discharging for peak demand leveling and baseload BESS charging. However, this study shows that without using optimal set-points for control applications, the BESS can remain under-utilized. In this work, simulation results of the peak shaving algorithm implementation in 30-minute time step over a period of 10 years show the impact of different BESS control set-points on distribution transformer loading, line and system losses.",

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doi = "10.1109/PVSC45281.2020.9301022",

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Emmanuel, M, Jain, A, Bryce, R , Latif, A , Ghosh, S & Nagarajan, A 2020, 'Impacts of Control Set-Points on Battery Energy Storage Performance for Peak Shaving Application', Paper presented at 47th IEEE Photovoltaic Specialists Conference, PVSC 2020, Calgary, Canada, 15/06/20 - 21/08/20 pp. 2703-2707. https://doi.org/10.1109/PVSC45281.2020.9301022, https://doi.org/10.1109/PVSC45281.2020.9301022

TY - CONF

T1 - Impacts of Control Set-Points on Battery Energy Storage Performance for Peak Shaving Application

AU - Emmanuel, Michael

AU - Jain, Akshay

AU - Bryce, Richard

AU - Latif, Aadil

AU - Ghosh, Shibani

AU - Nagarajan, Adarsh

PY - 2020/6/14

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N2 - This article presents the impact of battery energy storage system's (BESS) control triggers on its performance during peak shaving application. With the increasing deployment of BESS for load leveling and grid capacity relief, the sensitivity of BESS performance to its set-points is yet to be investigated. Most utilities have defined thresholds to activate BESS discharging for peak demand leveling and baseload BESS charging. However, this study shows that without using optimal set-points for control applications, the BESS can remain under-utilized. In this work, simulation results of the peak shaving algorithm implementation in 30-minute time step over a period of 10 years show the impact of different BESS control set-points on distribution transformer loading, line and system losses.

AB - This article presents the impact of battery energy storage system's (BESS) control triggers on its performance during peak shaving application. With the increasing deployment of BESS for load leveling and grid capacity relief, the sensitivity of BESS performance to its set-points is yet to be investigated. Most utilities have defined thresholds to activate BESS discharging for peak demand leveling and baseload BESS charging. However, this study shows that without using optimal set-points for control applications, the BESS can remain under-utilized. In this work, simulation results of the peak shaving algorithm implementation in 30-minute time step over a period of 10 years show the impact of different BESS control set-points on distribution transformer loading, line and system losses.

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KW - grid capacity relief

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KW - peak shaving control

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T2 - 47th IEEE Photovoltaic Specialists Conference, PVSC 2020

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ER -

Impacts of Control Set-Points on Battery Energy Storage Performance for Peak Shaving Application

Abstract

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Keywords

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