Heuristic Dispatch Based on Price Signals for Behind-the-Meter PV-Battery Systems in the System Advisor Model

Brian Mirletz; Darice Guittet

doi:10.1109/PVSC43889.2021.9519013

Heuristic Dispatch Based on Price Signals for Behind-the-Meter PV-Battery Systems in the System Advisor Model

Brian Mirletz, Darice Guittet

Accelerated Deployment and Decision Support

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

5 Scopus Citations

Abstract

The economic potential of a behind-the-meter (BTM) PV-battery system depends greatly on how the battery is dispatched. Different utility rates, system sizes, generation and load profiles can all require different dispatch strategies. This paper presents price signals dispatch, a new algorithm for automated economic dispatch of BTM PV-battery systems, which utilizes 24-hour PV and load forecasts, degradation data, and utility rates. The algorithm is integrated with the System Advisor Model (SAM) tool and is tested with a nonlinear generic electrochemical battery model. Price signals dispatch outperforms SAM's existing algorithms in cases requiring a balance between demand charge management and energy arbitrage, and in cases where battery degradation imposes a significant cost.

Original language	American English
Pages	1393-1400
Number of pages	8
DOIs	https://doi.org/10.1109/PVSC43889.2021.9519013 https://doi.org/10.1109/PVSC43889.2021.9519013
State	Published - 20 Jun 2021
Event	48th IEEE Photovoltaic Specialists Conference, PVSC 2021 - Fort Lauderdale, United States Duration: 20 Jun 2021 → 25 Jun 2021

Conference

Conference	48th IEEE Photovoltaic Specialists Conference, PVSC 2021
Country/Territory	United States
City	Fort Lauderdale
Period	20/06/21 → 25/06/21

Bibliographical note

See NREL/CP-7A40-79575 for preprint

NREL Publication Number

NREL/CP-7A40-81133

Keywords

batteries
battery dispatch
behind-the-meter
SAM
solar plus storage
System Advisor Model

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title = "Heuristic Dispatch Based on Price Signals for Behind-the-Meter PV-Battery Systems in the System Advisor Model",

abstract = "The economic potential of a behind-the-meter (BTM) PV-battery system depends greatly on how the battery is dispatched. Different utility rates, system sizes, generation and load profiles can all require different dispatch strategies. This paper presents price signals dispatch, a new algorithm for automated economic dispatch of BTM PV-battery systems, which utilizes 24-hour PV and load forecasts, degradation data, and utility rates. The algorithm is integrated with the System Advisor Model (SAM) tool and is tested with a nonlinear generic electrochemical battery model. Price signals dispatch outperforms SAM's existing algorithms in cases requiring a balance between demand charge management and energy arbitrage, and in cases where battery degradation imposes a significant cost.",

keywords = "batteries, battery dispatch, behind-the-meter, SAM, solar plus storage, System Advisor Model",

author = "Brian Mirletz and Darice Guittet",

note = "See NREL/CP-7A40-79575 for preprint; 48th IEEE Photovoltaic Specialists Conference, PVSC 2021 ; Conference date: 20-06-2021 Through 25-06-2021",

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Mirletz, B & Guittet, D 2021, 'Heuristic Dispatch Based on Price Signals for Behind-the-Meter PV-Battery Systems in the System Advisor Model', Paper presented at 48th IEEE Photovoltaic Specialists Conference, PVSC 2021, Fort Lauderdale, United States, 20/06/21 - 25/06/21 pp. 1393-1400. https://doi.org/10.1109/PVSC43889.2021.9519013, https://doi.org/10.1109/PVSC43889.2021.9519013

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T1 - Heuristic Dispatch Based on Price Signals for Behind-the-Meter PV-Battery Systems in the System Advisor Model

AU - Mirletz, Brian

AU - Guittet, Darice

N1 - See NREL/CP-7A40-79575 for preprint

PY - 2021/6/20

Y1 - 2021/6/20

N2 - The economic potential of a behind-the-meter (BTM) PV-battery system depends greatly on how the battery is dispatched. Different utility rates, system sizes, generation and load profiles can all require different dispatch strategies. This paper presents price signals dispatch, a new algorithm for automated economic dispatch of BTM PV-battery systems, which utilizes 24-hour PV and load forecasts, degradation data, and utility rates. The algorithm is integrated with the System Advisor Model (SAM) tool and is tested with a nonlinear generic electrochemical battery model. Price signals dispatch outperforms SAM's existing algorithms in cases requiring a balance between demand charge management and energy arbitrage, and in cases where battery degradation imposes a significant cost.

AB - The economic potential of a behind-the-meter (BTM) PV-battery system depends greatly on how the battery is dispatched. Different utility rates, system sizes, generation and load profiles can all require different dispatch strategies. This paper presents price signals dispatch, a new algorithm for automated economic dispatch of BTM PV-battery systems, which utilizes 24-hour PV and load forecasts, degradation data, and utility rates. The algorithm is integrated with the System Advisor Model (SAM) tool and is tested with a nonlinear generic electrochemical battery model. Price signals dispatch outperforms SAM's existing algorithms in cases requiring a balance between demand charge management and energy arbitrage, and in cases where battery degradation imposes a significant cost.

KW - batteries

KW - battery dispatch

KW - behind-the-meter

KW - SAM

KW - solar plus storage

KW - System Advisor Model

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DO - 10.1109/PVSC43889.2021.9519013

M3 - Paper

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SP - 1393

EP - 1400

T2 - 48th IEEE Photovoltaic Specialists Conference, PVSC 2021

Y2 - 20 June 2021 through 25 June 2021

ER -

Heuristic Dispatch Based on Price Signals for Behind-the-Meter PV-Battery Systems in the System Advisor Model

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Access to Document

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Cite this