Financially optimal solar power sizing and positioning in a power grid

Ozcel Cangul; Roberto Rocchetta; Edoardo Patelli; Murat Fahrioglu

doi:10.1109/ENERGYCON.2018.8398774

Financially optimal solar power sizing and positioning in a power grid

Ozcel Cangul, Roberto Rocchetta, Edoardo Patelli, Murat Fahrioglu

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

4 Citations (Scopus)

Abstract

The integration of renewable energy resources into our lives is vital for achieving a sustainable energy development. Renewable energy generation is undoubtedly an effective alternative for conventional electrical energy generation techniques, which are one of the key contributions for the emission of greenhouse gases. However, the introduction of renewable energy sources into the power grid is associated with significant costs. Here, an optimal localization and sizing of solar photovoltaic power generation plants in a power network are analyzed. Genetic algorithms are used to solve the optimization problem.

Original language	English
Title of host publication	2018 IEEE International Energy Conference, ENERGYCON 2018
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	978-1-5386-3669-5
DOIs	https://doi.org/10.1109/ENERGYCON.2018.8398774
Publication status	Published - 27 Jun 2018
Externally published	Yes
Event	2018 IEEE International Energy Conference, EnergyCon 2018 - Limassol, Cyprus Duration: 3 Jun 2018 → 7 Jun 2018 http://www.energycon2018.org/

Conference

Conference	2018 IEEE International Energy Conference, EnergyCon 2018
Abbreviated title	Energycon 2018
Country/Territory	Cyprus
City	Limassol
Period	3/06/18 → 7/06/18
Internet address	http://www.energycon2018.org/

Keywords

Genetic algorithm
Matpower
Optimal
Positioning
Sizing
Solar

UN SDGs

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

Access to Document

10.1109/ENERGYCON.2018.8398774

Cite this

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title = "Financially optimal solar power sizing and positioning in a power grid",

abstract = "The integration of renewable energy resources into our lives is vital for achieving a sustainable energy development. Renewable energy generation is undoubtedly an effective alternative for conventional electrical energy generation techniques, which are one of the key contributions for the emission of greenhouse gases. However, the introduction of renewable energy sources into the power grid is associated with significant costs. Here, an optimal localization and sizing of solar photovoltaic power generation plants in a power network are analyzed. Genetic algorithms are used to solve the optimization problem.",

keywords = "Genetic algorithm, Matpower, Optimal, Positioning, Sizing, Solar",

author = "Ozcel Cangul and Roberto Rocchetta and Edoardo Patelli and Murat Fahrioglu",

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day = "27",

doi = "10.1109/ENERGYCON.2018.8398774",

language = "English",

booktitle = "2018 IEEE International Energy Conference, ENERGYCON 2018",

publisher = "Institute of Electrical and Electronics Engineers",

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note = "2018 IEEE International Energy Conference, EnergyCon 2018, Energycon 2018 ; Conference date: 03-06-2018 Through 07-06-2018",

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Cangul, O, Rocchetta, R, Patelli, E & Fahrioglu, M 2018, Financially optimal solar power sizing and positioning in a power grid. in 2018 IEEE International Energy Conference, ENERGYCON 2018., 8398774, Institute of Electrical and Electronics Engineers, Piscataway, 2018 IEEE International Energy Conference, EnergyCon 2018, Limassol, Cyprus, 3/06/18. https://doi.org/10.1109/ENERGYCON.2018.8398774

Financially optimal solar power sizing and positioning in a power grid. / Cangul, Ozcel; Rocchetta, Roberto; Patelli, Edoardo et al.
2018 IEEE International Energy Conference, ENERGYCON 2018. Piscataway: Institute of Electrical and Electronics Engineers, 2018. 8398774.

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

TY - GEN

T1 - Financially optimal solar power sizing and positioning in a power grid

AU - Cangul, Ozcel

AU - Rocchetta, Roberto

AU - Patelli, Edoardo

AU - Fahrioglu, Murat

PY - 2018/6/27

Y1 - 2018/6/27

N2 - The integration of renewable energy resources into our lives is vital for achieving a sustainable energy development. Renewable energy generation is undoubtedly an effective alternative for conventional electrical energy generation techniques, which are one of the key contributions for the emission of greenhouse gases. However, the introduction of renewable energy sources into the power grid is associated with significant costs. Here, an optimal localization and sizing of solar photovoltaic power generation plants in a power network are analyzed. Genetic algorithms are used to solve the optimization problem.

AB - The integration of renewable energy resources into our lives is vital for achieving a sustainable energy development. Renewable energy generation is undoubtedly an effective alternative for conventional electrical energy generation techniques, which are one of the key contributions for the emission of greenhouse gases. However, the introduction of renewable energy sources into the power grid is associated with significant costs. Here, an optimal localization and sizing of solar photovoltaic power generation plants in a power network are analyzed. Genetic algorithms are used to solve the optimization problem.

KW - Genetic algorithm

KW - Matpower

KW - Optimal

KW - Positioning

KW - Sizing

KW - Solar

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U2 - 10.1109/ENERGYCON.2018.8398774

DO - 10.1109/ENERGYCON.2018.8398774

M3 - Conference contribution

AN - SCOPUS:85050225409

BT - 2018 IEEE International Energy Conference, ENERGYCON 2018

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2018 IEEE International Energy Conference, EnergyCon 2018

Y2 - 3 June 2018 through 7 June 2018

ER -

Financially optimal solar power sizing and positioning in a power grid

Abstract

Conference

Keywords

UN SDGs

Access to Document

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