Publication:
Optimal solutions for fixed head short-term hydrothermal system scheduling problem

datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Thanh Long Duong
dc.contributor.author Van-Duc Phan
dc.contributor.author Thuan Thanh Nguyen
dc.contributor.author Thang Trung Nguyen
dc.date.accessioned 2022-11-02T01:31:56Z
dc.date.available 2022-11-02T01:31:56Z
dc.date.issued 2020
dc.description.abstract In this paper, optimal short-term hydrothermal operation (STHTO) problem is determined by a proposed high-performance particle swarm optimization (HPPSO). Control variables of the problem are regarded as an optimal solution including reservoir volumes of hydropower plants (HdPs) and power generation of thermal power plants (ThPs) with respect to scheduled time periods. This problem focuses on reduction of electric power generation cost (EPGC) of ThPs and exact satisfactory of all constraints of HdPs, ThPs and power system. The proposed method is compared to earlier methods and other implemented methods such as particle swarm optimization (PSO), constriction factor (CF) and inertia weight factor (IWF)-based PSO (FCIW-PSO), two time-varying acceleration coefficient (TTVACs)-based PSO (TVAC-PSO), salp swarm algorithm (SSA), and Harris hawk algorithm (HHA). By comparing EPGC from 100 trial runs, speed of search and simulation time, the suggested HPPSO method sees it is more robust than other ones. Thus, HPPSO is recommended for applying to the considered and other problems in power systems.
dc.identifier.doi 10.11591/ijeei.v8i4.2269
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/580
dc.language.iso en_US
dc.relation.ispartof Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
dc.relation.issn 2089-3272
dc.relation.issn 2089-3272
dc.subject "Hydrothermal system
dc.subject Electricity generation cost
dc.subject Particle swarm optimization
dc.subject Hydraulic constraint
dc.subject Power system."
dc.title Optimal solutions for fixed head short-term hydrothermal system scheduling problem
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 4
oaire.citation.volume 8
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