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

Oğuzhan Ceylan; Guodong Liu; Kevin Tomsovic

doi:10.1007/s00202-017-0563-x

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

Oğuzhan Ceylan, Guodong Liu, Kevin Tomsovic

Grid Systems Architecture

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

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 paper 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. The simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.

Original language	English
Pages (from-to)	1133-1146
Number of pages	14
Journal	Electrical Engineering
Volume	100
Issue number	2
DOIs	https://doi.org/10.1007/s00202-017-0563-x
State	Published - Jun 1 2018

Funding

Acknowledgements This work was sponsored by the Office of Electricity Delivery & Energy Reliability, US Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. The first author would like to thank the Scientific and Technological Research Council of Turkey (TUBITAK) for its financial support. This work was sponsored by the Office of Electricity Delivery & Energy Reliability, US Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. The first author would like to thank the Scientific and Technological Research Council of Turkey (TUBITAK) for its financial support. Notice of Copyright: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Notice of Copyright: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan

Funders	Funder number
CURENT
DOE Public Access Plan
LLC	DE-AC05-00OR22725
National Science Foundation and the Department of Energy
TUBITAK
US Department of Energy
UT-Battelle
United States Government
National Science Foundation	EEC-1041877
U.S. Department of Energy	DE-AC05-00OR 22725
National Sleep Foundation
Office of Electricity Delivery and Energy Reliability
Oak Ridge National Laboratory
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Keywords

Distributed generation
Grey wolf optimization
Smart grid
Voltage regulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s00202-017-0563-x

Cite this

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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 paper 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. The simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.",

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AB - 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 paper 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. The simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.

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

Abstract

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Keywords

UN SDGs

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