Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing

Saheed Lekan Gbadamosi; Nnamdi I. Nwulu; Y. Sun

doi:10.1109/PowerAfrica.2018.8520979

Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing

Saheed Lekan Gbadamosi
, Nnamdi I. Nwulu
, Y. Sun

Electrical and Electronic Engineering Science

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

This paper develops a new mathematical optimization model for effective scheduling of optimal power generated from offshore wind farms with proper consideration to harmonic losses and locational marginal prices minimization, and this model is a function of harmonics resulting from large penetration of offshore wind power into the grid. Harmonics is obtained from modeling and simulation of offshore wind farms on the grid using Electrical Transient Analyzer Program (ETAP 12.6.0) power station software. An IEEE six Garver bus system is used to test the efficiency of the proposed model and the simulation results reveal that the increase of harmonic power losses causes increase in nodal marginal prices.

Original language	English
Title of host publication	2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	658-663
Number of pages	6
ISBN (Electronic)	9781538641637
DOIs	https://doi.org/10.1109/PowerAfrica.2018.8520979
Publication status	Published - 2 Nov 2018
Event	2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018 - Cape Town, South Africa Duration: 26 Jun 2018 → 29 Jun 2018

Publication series

Name	2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

Conference

Conference	2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018
Country/Territory	South Africa
City	Cape Town
Period	26/06/18 → 29/06/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

expansion planning
harmonic loss
locational marginal pricing
offshore wind power
optimization

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/PowerAfrica.2018.8520979

Cite this

Gbadamosi, S. L., Nwulu, N. I., & Sun, Y. (2018). Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing. In 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018 (pp. 658-663). Article 8520979 (2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerAfrica.2018.8520979

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title = "Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing",

abstract = "This paper develops a new mathematical optimization model for effective scheduling of optimal power generated from offshore wind farms with proper consideration to harmonic losses and locational marginal prices minimization, and this model is a function of harmonics resulting from large penetration of offshore wind power into the grid. Harmonics is obtained from modeling and simulation of offshore wind farms on the grid using Electrical Transient Analyzer Program (ETAP 12.6.0) power station software. An IEEE six Garver bus system is used to test the efficiency of the proposed model and the simulation results reveal that the increase of harmonic power losses causes increase in nodal marginal prices.",

keywords = "expansion planning, harmonic loss, locational marginal pricing, offshore wind power, optimization",

author = "Gbadamosi, \{Saheed Lekan\} and Nwulu, \{Nnamdi I.\} and Y. Sun",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018 ; Conference date: 26-06-2018 Through 29-06-2018",

year = "2018",

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doi = "10.1109/PowerAfrica.2018.8520979",

language = "English",

series = "2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Gbadamosi, SL, Nwulu, NI & Sun, Y 2018, Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing. in 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018., 8520979, 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc., pp. 658-663, 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018, Cape Town, South Africa, 26/06/18. https://doi.org/10.1109/PowerAfrica.2018.8520979

Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing. / Gbadamosi, Saheed Lekan; Nwulu, Nnamdi I.; Sun, Y.
2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 658-663 8520979 (2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Gbadamosi, Saheed Lekan

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AU - Sun, Y.

PY - 2018/11/2

Y1 - 2018/11/2

N2 - This paper develops a new mathematical optimization model for effective scheduling of optimal power generated from offshore wind farms with proper consideration to harmonic losses and locational marginal prices minimization, and this model is a function of harmonics resulting from large penetration of offshore wind power into the grid. Harmonics is obtained from modeling and simulation of offshore wind farms on the grid using Electrical Transient Analyzer Program (ETAP 12.6.0) power station software. An IEEE six Garver bus system is used to test the efficiency of the proposed model and the simulation results reveal that the increase of harmonic power losses causes increase in nodal marginal prices.

AB - This paper develops a new mathematical optimization model for effective scheduling of optimal power generated from offshore wind farms with proper consideration to harmonic losses and locational marginal prices minimization, and this model is a function of harmonics resulting from large penetration of offshore wind power into the grid. Harmonics is obtained from modeling and simulation of offshore wind farms on the grid using Electrical Transient Analyzer Program (ETAP 12.6.0) power station software. An IEEE six Garver bus system is used to test the efficiency of the proposed model and the simulation results reveal that the increase of harmonic power losses causes increase in nodal marginal prices.

KW - expansion planning

KW - harmonic loss

KW - locational marginal pricing

KW - offshore wind power

KW - optimization

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DO - 10.1109/PowerAfrica.2018.8520979

M3 - Conference contribution

AN - SCOPUS:85057837243

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SP - 658

EP - 663

BT - 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018

Y2 - 26 June 2018 through 29 June 2018

ER -

Optimal Scheduling in Offshore Wind Farms Considering Harmonic Losses and Locational Marginal Pricing

Abstract

Publication series

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UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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