NDLI: Reliable/cost-effective maintenance schedules for a composite power system using fuzzy supported teaching learning algorithm

Content Provider	IET Digital Library
Author	Subramanian, S. Abirami, M. Ganesan, S.
Abstract	With the increasing electricity power consumption and time-varying load demands, maintaining system reliability and economic operation has become a challenging task for power system operators during the scheduled outages. Nevertheless, very few publications in the current literature tackle this maintenance schedule problem by means of evolutionary algorithms, and, when they do, they focus only on generators. In the proposed model, the authors have considered coordinated maintenance scheduling (CMS) with cost minimisation and reliability maximisation as a multi-objective criterion, and fuzzy-based teaching learning-based optimisation is used as an optimisation tool for solving the formulated maintenance model. The proposed model solves the CMS along with security-constrained unit commitment (SCUC) over 1-year planning horizon and the final SCUC solution prescribes an economic and secure operation for composite power systems. The method is demonstrated on the IEEE 30-bus, IEEE reliability test system (single and three areas) and practical Indian utility 19-unit power systems, and the results are presented.
Starting Page	805
Ending Page	819
Page Count	15
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 9, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0718
Journal	IET Generation, Transmission & Distribution
Publisher Date	2015-03-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Composite Power System Coordinated Maintenance Scheduling Cost Minimisation Cost-effective Maintenance Schedules Economic Operation Electricity Power Consumption Evolutionary Algorithm Evolutionary Computation Formulated Maintenance Model Fuzzy Supported Teaching Learning Algorithm Fuzzy-based Teaching Learning-based Optimisation Learning in AI Maintenance Engineering Multiobjective Criterion Optimisation Technique Plant Engineering, Maintenance And Safety Power Generation Dispatch Power Generation Scheduling Power System Economics Power System Managemen Power System Operation Power System Operators Power System Reliability Reliability Reliability Maximisation Scheduled Outages Security Constrained Unit Commitment System Reliability Time-varying Load Demands
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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