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Title: Economic evaluation of distribution system smart grid investments

Abstract

This paper investigates economic benefits of smart grid automation investments. A system consisting of 7 substations and 14 feeders is used in the evaluation. Here benefits that can be quantified in terms of dollar savings are considered, termed “hard dollar” benefits. Smart Grid investment evaluations to be considered include investments in improved efficiency, more cost effective use of existing system capacity with automated switches, and coordinated control of capacitor banks and voltage regulators. These Smart Grid evaluations are sequentially ordered, resulting in a series of incremental hard dollar benefits. Hard dollar benefits come from improved efficiency, delaying large capital equipment investments, shortened storm restoration times, and reduced customer energy use. Analyses used in the evaluation involve hourly power flow analysis over multiple years and Monte Carlo simulations of switching operations during storms using a reconfiguration for restoration algorithm. The economic analysis uses the time varying value of the Locational Marginal Price. Algorithms used include reconfiguration for restoration involving either manual or automated switches and coordinated control involving two modes of control. Field validations of phase balancing and capacitor design results are presented. The evaluation shows that investments in automation can improve performance while at the same time lowering costs.

Authors:
 [1];  [2];  [3];  [4];  [4];  [5];  [5];  [4]
  1. Abdullah Gul Univ., Kayseri (Turkey)
  2. Electrical Distribution Design, Inc., Blacksburg, VA (United States)
  3. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  4. Orange and Rockland Utilities, Inc., Spring Valley, NY (United States)
  5. Brookhaven National Lab. (BNL), Upton, NY (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1183249
Report Number(s):
BNL-107335-2015-JA
Journal ID: ISSN 1532-5008; YN0100000
Grant/Contract Number:  
SC00112704
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Electric Power Components and Systems
Additional Journal Information:
Journal Volume: 43; Journal Issue: 2; Journal ID: ISSN 1532-5008
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; Smart Grid investments; Monte Carlo simulation; coordinated control; phase balancing; capacitor design

Citation Formats

Onen, Ahmet, Cheng, Danling, Broadwater, Robert P., Scirbona, Charlie, Cocks, George, Hamilton, Stephanie, Wang, Xiaoyu, and Roark, Jeffrey. Economic evaluation of distribution system smart grid investments. United States: N. p., 2014. Web. doi:10.1080/15325008.2014.975873.
Onen, Ahmet, Cheng, Danling, Broadwater, Robert P., Scirbona, Charlie, Cocks, George, Hamilton, Stephanie, Wang, Xiaoyu, & Roark, Jeffrey. Economic evaluation of distribution system smart grid investments. United States. https://doi.org/10.1080/15325008.2014.975873
Onen, Ahmet, Cheng, Danling, Broadwater, Robert P., Scirbona, Charlie, Cocks, George, Hamilton, Stephanie, Wang, Xiaoyu, and Roark, Jeffrey. 2014. "Economic evaluation of distribution system smart grid investments". United States. https://doi.org/10.1080/15325008.2014.975873. https://www.osti.gov/servlets/purl/1183249.
@article{osti_1183249,
title = {Economic evaluation of distribution system smart grid investments},
author = {Onen, Ahmet and Cheng, Danling and Broadwater, Robert P. and Scirbona, Charlie and Cocks, George and Hamilton, Stephanie and Wang, Xiaoyu and Roark, Jeffrey},
abstractNote = {This paper investigates economic benefits of smart grid automation investments. A system consisting of 7 substations and 14 feeders is used in the evaluation. Here benefits that can be quantified in terms of dollar savings are considered, termed “hard dollar” benefits. Smart Grid investment evaluations to be considered include investments in improved efficiency, more cost effective use of existing system capacity with automated switches, and coordinated control of capacitor banks and voltage regulators. These Smart Grid evaluations are sequentially ordered, resulting in a series of incremental hard dollar benefits. Hard dollar benefits come from improved efficiency, delaying large capital equipment investments, shortened storm restoration times, and reduced customer energy use. Analyses used in the evaluation involve hourly power flow analysis over multiple years and Monte Carlo simulations of switching operations during storms using a reconfiguration for restoration algorithm. The economic analysis uses the time varying value of the Locational Marginal Price. Algorithms used include reconfiguration for restoration involving either manual or automated switches and coordinated control involving two modes of control. Field validations of phase balancing and capacitor design results are presented. The evaluation shows that investments in automation can improve performance while at the same time lowering costs.},
doi = {10.1080/15325008.2014.975873},
url = {https://www.osti.gov/biblio/1183249}, journal = {Electric Power Components and Systems},
issn = {1532-5008},
number = 2,
volume = 43,
place = {United States},
year = {Wed Dec 31 00:00:00 EST 2014},
month = {Wed Dec 31 00:00:00 EST 2014}
}

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Cited by: 5 works
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Works referenced in this record:

Smart Model Based Coordinated Control Based on Feeder Losses, Energy Consumption, and Voltage Violations
journal, December 2013


Simultaneous phase balancing at substations and switches with time-varying load patterns
journal, January 2001


Power Factor correction capacitors for utilising power consumption in industrial plants
journal, January 2010


Distribution System Reliability Assessment Due to Lightning Storms
journal, July 2005


Distribution system reliability assessment: momentary interruptions and storms
journal, January 1997


Generic reconfiguration for restoration
journal, March 2010


Estimating substation peaks from load research data
journal, January 1997


Economic costs of electrical system instability and power outages caused by snakes on the Island of Guam
journal, January 2002


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