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Title: An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM)

Abstract

Three automatic dispatch modes have been added to the battery model within the System Adviser Model. These controllers have been developed to perform peak shaving in an automated fashion, providing users with a way to see the benefit of reduced demand charges without manually programming a complicated dispatch control. A flexible input option allows more advanced interaction with the automated controller. This document will describe the algorithms in detail and present brief results on its use and limitations.

Authors:
 [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
OSTI Identifier:
1410499
Report Number(s):
NREL/TP-6A20-68614
DOE Contract Number:
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; SAM; battery; dispatch

Citation Formats

DiOrio, Nicholas A. An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM). United States: N. p., 2017. Web. doi:10.2172/1410499.
DiOrio, Nicholas A. An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM). United States. doi:10.2172/1410499.
DiOrio, Nicholas A. 2017. "An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM)". United States. doi:10.2172/1410499. https://www.osti.gov/servlets/purl/1410499.
@article{osti_1410499,
title = {An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM)},
author = {DiOrio, Nicholas A},
abstractNote = {Three automatic dispatch modes have been added to the battery model within the System Adviser Model. These controllers have been developed to perform peak shaving in an automated fashion, providing users with a way to see the benefit of reduced demand charges without manually programming a complicated dispatch control. A flexible input option allows more advanced interaction with the automated controller. This document will describe the algorithms in detail and present brief results on its use and limitations.},
doi = {10.2172/1410499},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month =
}

Technical Report:

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