NDLI: Multi-objective short-term scheduling of thermoelectric power systems using a novel multi-objective θ-improved cuckoo optimisation algorithm

Content Provider	IET Digital Library
Author	Abarghooee, Rasoul Azizipanah Niknam, Taher Zare, Mohsen Gharibzadeh, Masihallah
Abstract	This study proposes a multi-objective optimal static and dynamic scheduling of thermoelectric power systems considering the conflicting environmental and economical objectives. Meantime, some restrictions such as valve-point effects, prohibited operating zones, multi-fuel options, line flow limits as well as spinning reserve should be taken into account in order to ensure secure real-time power system operation. A novel multi-objective θ-improved cuckoo optimisation algorithm is projected to solve the optimisation problems by defining a set of nondominated points as the solutions. The suggested method moves forward the particles to the problem search space in the polar coordinates as a substitute of the Cartesian one. In addition, in order to achieve better performance and higher-convergence speed, several improvement strategies are utilised. This algorithm is equipped with a novel powerful mutation strategy in order to increase the population diversity and to amend the convergence criteria. Furthermore, a fuzzy-based clustering is used to control the size of the repository and a niching method is utilised to choose the best solution during the optimisation process and to ensure diversity among non-dominated solutions. Performance of the proposed algorithm is tested on 6-, 10-, 14-, 40- and 100-unit test systems and compared with those of other well-known methods.
Starting Page	873
Ending Page	894
Page Count	22
ISSN	17518687
Volume Number	8
e-ISSN	17518695
Issue Number	Issue 5, May (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2013.0354
Journal	IET Generation, Transmission & Distribution
Publisher Date	2014-01-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Dynamic Scheduling Economical Objectives Environmental Objectives Fuzzy Set Theory Fuzzy-based Clustering Multiobjective Optimal Static Scheduling Multiobjective Short-term Scheduling Multiobjective Î¸-improved Cuckoo Optimisation Algorithm Niching Method Optimisation Optimisation Technique Polar Coordinate Population Diversity Prohibited Operating Zones Real-time Power System Operation Scheduling Spinning Reserve Constraint Thermal Power Stations Thermal Power Stations And Plant Thermoelectric Power Thermoelectric Power System Transmission Line Power Flow Limits Valve-point Effect
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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