A Game Theoretical Approach for Sub-Transmission and Generation Expansion Planning Utilizing Multi- Regional Energy Systems

Mohammad Navidi, Seyed Masoud Moghaddas Tafreshi , Amjad Anvari-Moghaddam

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper addresses a new method for sub-transmission and generation expansion planning utilizing multi-regional energy systems (RGESs). A competitive market design is also presented to capture interactions among RGESs investors in making optimal investment plans. Traditional and evolutionary game approaches are used for solving the investment and operational expansion planning problems to eliminate the traditional centralized planning and to enable competition among RGESs for power delivery using different bidding strategies. By using a fuzzy satisfying method (FSM), the evolutionary stability state (ESS) for each gaming option (i.e., scenario) is extracted and the ESS front is presented accordingly. Simulation results for a 9-bus system are finally presented to analyze the effectiveness of the proposed approach.
Original languageEnglish
Article numberhttps://doi.org/10.1016/j.ijepes.2019.105758
JournalInternational Journal of Electrical Power & Energy Systems
Volume118
Pages (from-to)1-11
ISSN0142-0615
DOIs
Publication statusPublished - 2020

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title = "A Game Theoretical Approach for Sub-Transmission and Generation Expansion Planning Utilizing Multi- Regional Energy Systems",
abstract = "This paper addresses a new method for sub-transmission and generation expansion planning utilizing multi-regional energy systems (RGESs). A competitive market design is also presented to capture interactions among RGESs investors in making optimal investment plans. Traditional and evolutionary game approaches are used for solving the investment and operational expansion planning problems to eliminate the traditional centralized planning and to enable competition among RGESs for power delivery using different bidding strategies. By using a fuzzy satisfying method (FSM), the evolutionary stability state (ESS) for each gaming option (i.e., scenario) is extracted and the ESS front is presented accordingly. Simulation results for a 9-bus system are finally presented to analyze the effectiveness of the proposed approach.",
author = "Mohammad Navidi and {Moghaddas Tafreshi}, {Seyed Masoud} and Amjad Anvari-Moghaddam",
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A Game Theoretical Approach for Sub-Transmission and Generation Expansion Planning Utilizing Multi- Regional Energy Systems. / Navidi, Mohammad; Moghaddas Tafreshi , Seyed Masoud ; Anvari-Moghaddam, Amjad.

In: International Journal of Electrical Power & Energy Systems, Vol. 118, https://doi.org/10.1016/j.ijepes.2019.105758, 2020, p. 1-11.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A Game Theoretical Approach for Sub-Transmission and Generation Expansion Planning Utilizing Multi- Regional Energy Systems

AU - Navidi, Mohammad

AU - Moghaddas Tafreshi , Seyed Masoud

AU - Anvari-Moghaddam, Amjad

PY - 2020

Y1 - 2020

N2 - This paper addresses a new method for sub-transmission and generation expansion planning utilizing multi-regional energy systems (RGESs). A competitive market design is also presented to capture interactions among RGESs investors in making optimal investment plans. Traditional and evolutionary game approaches are used for solving the investment and operational expansion planning problems to eliminate the traditional centralized planning and to enable competition among RGESs for power delivery using different bidding strategies. By using a fuzzy satisfying method (FSM), the evolutionary stability state (ESS) for each gaming option (i.e., scenario) is extracted and the ESS front is presented accordingly. Simulation results for a 9-bus system are finally presented to analyze the effectiveness of the proposed approach.

AB - This paper addresses a new method for sub-transmission and generation expansion planning utilizing multi-regional energy systems (RGESs). A competitive market design is also presented to capture interactions among RGESs investors in making optimal investment plans. Traditional and evolutionary game approaches are used for solving the investment and operational expansion planning problems to eliminate the traditional centralized planning and to enable competition among RGESs for power delivery using different bidding strategies. By using a fuzzy satisfying method (FSM), the evolutionary stability state (ESS) for each gaming option (i.e., scenario) is extracted and the ESS front is presented accordingly. Simulation results for a 9-bus system are finally presented to analyze the effectiveness of the proposed approach.

U2 - https://doi.org/10.1016/j.ijepes.2019.105758

DO - https://doi.org/10.1016/j.ijepes.2019.105758

M3 - Journal article

VL - 118

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EP - 11

JO - International Journal of Electrical Power & Energy Systems

JF - International Journal of Electrical Power & Energy Systems

SN - 0142-0615

M1 - https://doi.org/10.1016/j.ijepes.2019.105758

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