skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Coordinated distribution network control of tap changer transformers, capacitors and PV inverters

Abstract

A power distribution system operates most efficiently with voltage deviations along a feeder kept to a minimum and must ensure all voltages remain within specified limits. Recently with the increased integration of photovoltaics, the variable power output has led to increased voltage fluctuations and violation of operating limits. This study proposes an optimization model based on a recently developed heuristic search method, grey wolf optimization, to coordinate the various distribution controllers. Several different case studies on IEEE 33 and 69 bus test systems modified by including tap changing transformers, capacitors and photovoltaic solar panels are performed. Simulation results are compared to two other heuristic-based optimization methods: harmony search and differential evolution. Finally, the simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.

Authors:
ORCiD logo [1];  [2];  [3]
  1. Istanbul Kemerburgaz Univ. (Turkey)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Univ. of Tennessee, Knoxville, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Istanbul Kemerburgaz Univ. (Turkey); Univ. of Tennessee, Knoxville, TN (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE); National Science Foundation (NSF); Scientific and Technological Research Council of Turkey (TUBITAK) (Turkey)
OSTI Identifier:
1376491
Grant/Contract Number:  
AC05-00OR22725; EEC-1041877
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Electrical Engineering
Additional Journal Information:
Journal Volume: 100; Journal Issue: 2; Journal ID: ISSN 0948-7921
Publisher:
Springer Nature
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; smart grid; grey wolf optimization; distributed generation; voltage regulation

Citation Formats

Ceylan, Oğuzhan, Liu, Guodong, and Tomsovic, Kevin. Coordinated distribution network control of tap changer transformers, capacitors and PV inverters. United States: N. p., 2017. Web. doi:10.1007/s00202-017-0563-x.
Ceylan, Oğuzhan, Liu, Guodong, & Tomsovic, Kevin. Coordinated distribution network control of tap changer transformers, capacitors and PV inverters. United States. doi:10.1007/s00202-017-0563-x.
Ceylan, Oğuzhan, Liu, Guodong, and Tomsovic, Kevin. Thu . "Coordinated distribution network control of tap changer transformers, capacitors and PV inverters". United States. doi:10.1007/s00202-017-0563-x. https://www.osti.gov/servlets/purl/1376491.
@article{osti_1376491,
title = {Coordinated distribution network control of tap changer transformers, capacitors and PV inverters},
author = {Ceylan, Oğuzhan and Liu, Guodong and Tomsovic, Kevin},
abstractNote = {A power distribution system operates most efficiently with voltage deviations along a feeder kept to a minimum and must ensure all voltages remain within specified limits. Recently with the increased integration of photovoltaics, the variable power output has led to increased voltage fluctuations and violation of operating limits. This study proposes an optimization model based on a recently developed heuristic search method, grey wolf optimization, to coordinate the various distribution controllers. Several different case studies on IEEE 33 and 69 bus test systems modified by including tap changing transformers, capacitors and photovoltaic solar panels are performed. Simulation results are compared to two other heuristic-based optimization methods: harmony search and differential evolution. Finally, the simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.},
doi = {10.1007/s00202-017-0563-x},
journal = {Electrical Engineering},
number = 2,
volume = 100,
place = {United States},
year = {Thu Jun 08 00:00:00 EDT 2017},
month = {Thu Jun 08 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share: