NDLI: Identification of critical generating units for maintenance: a game theory approach

Content Provider	IET Digital Library
Author	Pourahmadi, Farzaneh Firuzabad, Mahmud Fotuhi Dehghanian, Payman
Abstract	With the rapid evolution of electricity markets and the need for higher economic efficiency of power industry, attempts for lowering down the maintenance costs as a large portion of system operation expenses seem imperative. Recognised as a crucial step in practical implementation of modern maintenance paradigms, e.g. reliability-centred maintenance, this study proposes an efficient method to quantify the generating units’ criticality on the bulk power system reliability performance. The proposed approach utilises a solution concept of game theory and evaluates the contribution of each generating unit on the overall system reliability when a higher-order contingency occurs. The suggested framework would lead to a fair identification of critical units in restructured power systems for more focused maintenance activities and also helps in recognising where investments should be made to improve the system reliability. The effectiveness of the proposed approach is confirmed through implementation on the IEEE 24-bus reliability test system.
Starting Page	2942
Ending Page	2952
Page Count	11
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 12, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1445
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-09-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bulk Power System Reliability Performance Critical Generating Units Identification Economic Efficiency Electrical Maintenance Electricity Market Electricity Supply Industry Game Theory Game Theory Approach IEEE 24-bus Reliability Test System Investment Investments Plant Engineering, Maintenance And Safety Power Generation Economics Power Generation Reliability Power Industry Power System Economics Power System Managemen Power System Operation Reliability Reliability-centred Maintenance Restructured Power System System Operation Expenses
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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