FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790473711> ?p ?o ?g. }

• W2790473711 endingPage "481" @default.
• W2790473711 startingPage "460" @default.
• W2790473711 abstract "The optimal power generation of hydro-thermal systems to minimize total operating costs is one of the most important targets in short-term hydro-thermal scheduling (STHS) and its evaluation is complicated by several complex and interconnected equality and inequality constraints. To solve this type of problem, it is necessary to develop on one side a model of the system characterized by a fair and proper treatment of all the equality and inequality constraints and on the other a performing optimization algorithm simultaneously considering not only the minimization of the operating costs but also the feasibility of the proposed solution. The paper presents a novel two-swarm based PSO (Particle Swarm Optimization) search strategy developed for solving these kinds of STHS problems. To exclude constraint violations as far as possible during the optimization process, first a complete inequality and equality constraints treatment of the hydrothermal systems was developed, combined with a fair spillage modelling. Then, a recent evolution of the particle swarm optimization algorithm ASD-PSO (Adaptive Search Diversification-Particle Swarm Optimization) was modified, introducing a secondary swarm able to exploit the potential contribution of the infeasible solutions. Within the context of this new strategy, two different swarms were designed, each characterized by a different treatment of the infeasible solutions, and each interacting properly with the other at every iteration. The primary swarm dealt with feasible solutions, resulting from the manipulation of constraint repairing strategies, and with a limited number of infeasible solutions whose potential contribution in the search process was not wasted out but it was properly weighted on the basis of the violation degree. The secondary swarm involved less manipulated solutions that were subjected only to one repair strategy in order to foster the exploration capability of the swarm. At each iteration, the two swarms independently update their position and velocity but partially interact with each other to obtain mutual advantages from their different peculiarities. This novel two-swarm based strategy for solving short-term hydro-thermal scheduling (STHS) problems was validated by comparing the achieved performance in terms of accuracy with those of several algorithms proposed in literature. Six different test cases, widely analysed in the literature and characterized by increasing complexity, were considered. In all the considered Test Cases, the algorithm performed very well with minimum total fuel costs that were still lower than all the feasible solutions proposed in the literature, and that satisfied all the equality and inequality constraints of the system." @default.
• W2790473711 created "2018-03-29" @default.
• W2790473711 creator A5027273924 @default.
• W2790473711 creator A5043093386 @default.
• W2790473711 creator A5074300568 @default.
• W2790473711 date "2018-05-01" @default.
• W2790473711 modified "2023-10-01" @default.
• W2790473711 title "A novel two-swarm based PSO search strategy for optimal short-term hydro-thermal generation scheduling" @default.
• W2790473711 cites W1412975512 @default.
• W2790473711 cites W1577668191 @default.
• W2790473711 cites W1605973748 @default.
• W2790473711 cites W1656598679 @default.
• W2790473711 cites W1972316166 @default.
• W2790473711 cites W1979027715 @default.
• W2790473711 cites W1985175740 @default.
• W2790473711 cites W1987234899 @default.
• W2790473711 cites W1987746698 @default.
• W2790473711 cites W2001437891 @default.
• W2790473711 cites W2007379010 @default.
• W2790473711 cites W2010686093 @default.
• W2790473711 cites W2014484138 @default.
• W2790473711 cites W2024305281 @default.
• W2790473711 cites W2025266117 @default.
• W2790473711 cites W2025818655 @default.
• W2790473711 cites W2030121779 @default.
• W2790473711 cites W2032185993 @default.
• W2790473711 cites W2044458048 @default.
• W2790473711 cites W2061382789 @default.
• W2790473711 cites W2062236565 @default.
• W2790473711 cites W2062932950 @default.
• W2790473711 cites W2065210102 @default.
• W2790473711 cites W2067722136 @default.
• W2790473711 cites W2069689526 @default.
• W2790473711 cites W2069731533 @default.
• W2790473711 cites W2073914177 @default.
• W2790473711 cites W2083874789 @default.
• W2790473711 cites W2084755498 @default.
• W2790473711 cites W2085564331 @default.
• W2790473711 cites W2085800780 @default.
• W2790473711 cites W2089467795 @default.
• W2790473711 cites W2089501235 @default.
• W2790473711 cites W2091537048 @default.
• W2790473711 cites W2093705336 @default.
• W2790473711 cites W2108388069 @default.
• W2790473711 cites W2109364787 @default.
• W2790473711 cites W2131613989 @default.
• W2790473711 cites W2139339670 @default.
• W2790473711 cites W2146737166 @default.
• W2790473711 cites W2148772475 @default.
• W2790473711 cites W2152195021 @default.
• W2790473711 cites W2157107726 @default.
• W2790473711 cites W2165299997 @default.
• W2790473711 cites W2177636486 @default.
• W2790473711 cites W2295075192 @default.
• W2790473711 cites W2298869788 @default.
• W2790473711 cites W2303166133 @default.
• W2790473711 cites W2336419546 @default.
• W2790473711 cites W2339911763 @default.
• W2790473711 cites W2487422990 @default.
• W2790473711 cites W2520205241 @default.
• W2790473711 cites W2584256481 @default.
• W2790473711 cites W2604600808 @default.
• W2790473711 cites W2607125098 @default.
• W2790473711 cites W2611694135 @default.
• W2790473711 cites W311242210 @default.
• W2790473711 doi "https://doi.org/10.1016/j.enconman.2018.03.012" @default.
• W2790473711 hasPublicationYear "2018" @default.
• W2790473711 type Work @default.
• W2790473711 sameAs 2790473711 @default.
• W2790473711 citedByCount "23" @default.
• W2790473711 countsByYear W27904737112019 @default.
• W2790473711 countsByYear W27904737112020 @default.
• W2790473711 countsByYear W27904737112021 @default.
• W2790473711 countsByYear W27904737112022 @default.
• W2790473711 countsByYear W27904737112023 @default.
• W2790473711 crossrefType "journal-article" @default.
• W2790473711 hasAuthorship W2790473711A5027273924 @default.
• W2790473711 hasAuthorship W2790473711A5043093386 @default.
• W2790473711 hasAuthorship W2790473711A5074300568 @default.
• W2790473711 hasConcept C109718341 @default.
• W2790473711 hasConcept C122357587 @default.
• W2790473711 hasConcept C126255220 @default.
• W2790473711 hasConcept C165696696 @default.
• W2790473711 hasConcept C181335050 @default.
• W2790473711 hasConcept C206729178 @default.
• W2790473711 hasConcept C33923547 @default.
• W2790473711 hasConcept C38652104 @default.
• W2790473711 hasConcept C41008148 @default.
• W2790473711 hasConcept C85617194 @default.
• W2790473711 hasConceptScore W2790473711C109718341 @default.
• W2790473711 hasConceptScore W2790473711C122357587 @default.
• W2790473711 hasConceptScore W2790473711C126255220 @default.
• W2790473711 hasConceptScore W2790473711C165696696 @default.
• W2790473711 hasConceptScore W2790473711C181335050 @default.
• W2790473711 hasConceptScore W2790473711C206729178 @default.
• W2790473711 hasConceptScore W2790473711C33923547 @default.
• W2790473711 hasConceptScore W2790473711C38652104 @default.
• W2790473711 hasConceptScore W2790473711C41008148 @default.

• next