Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/101378
Title: Simulated annealing, differential evolution and directed search methods for generator maintenance scheduling
Authors: Gubin, P. Y.
Oboskalov, V. P.
Mahnitko, A.
Petrichenko, R.
Issue Date: 2020
Publisher: MDPI AG
Citation: Simulated annealing, differential evolution and directed search methods for generator maintenance scheduling / P. Y. Gubin, V. P. Oboskalov, A. Mahnitko, et al. — DOI 10.3390/en13205381 // Energies. — 2020. — Vol. 13. — Iss. 20. — 5381.
Abstract: Generator maintenance scheduling presents many engineering issues that provide power system personnel with a variety of challenges, and one can hardly afford to neglect these engineering issues in the future. Additionally, there is vital need for further development of the repair planning task complexity in order to take into account the vast majority of power flow constraints. At present, the question still remains as to which approach is the simplest and most effective, as well as appropriate for further application in the power flow-oriented statement of the repair planning problem. This research compared directed search, differential evolution, and very fast simulated annealing methods based on a number of numerical calculations and made conclusions about their prospective utilization in terms of a more complicated mathematical formulation of the repair planning task. A comparison of results shows that the effectiveness of directed search methods should not be underestimated, and that the pure differential evolution and very fast simulated annealing approaches are not essentially reliable for repair planning. The experimental results demonstrate the perspectivity of unifying single-procedure methods in order to net out risk associated with specific features of these approaches. © 2020 by the authors.
Keywords: DIFFERENTIAL EVOLUTION
DIRECTED SEARCH
GENERATOR
MAINTENANCE
SCHEDULING
SIMULATED ANNEALING
ELECTRIC LOAD FLOW
EVOLUTIONARY ALGORITHMS
NUMERICAL METHODS
REPAIR
SCHEDULING
DIFFERENTIAL EVOLUTION
DIRECTED SEARCHES
FAST SIMULATED ANNEALING
GENERATOR MAINTENANCE SCHEDULING
MATHEMATICAL FORMULATION
NUMERICAL CALCULATION
POWER FLOWS
REPAIR PLANNING
SIMULATED ANNEALING
URI: http://hdl.handle.net/10995/101378
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85093110531
PURE ID: 14163184
87acbbfc-87be-472b-babf-915231a30608
ISSN: 19961073
DOI: 10.3390/en13205381
metadata.dc.description.sponsorship: This work was funded by the European Regional Development Fund within the Activity 1.1.1.2 “Postdoctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Operational Programme “Growth and Employment” (No. 1.1.1.2/VIAA/1/16/021). This research has also been supported by the Latvian Council of Science project: Management and Operation of an Intelligent Power System (I-POWER) (No. lzp-2018/1-0066).
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