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Study on Power Generation Economics Considering Environmental Impact: A Novel Optimization Approach Using Modified Real Coded Genetic Algorithm for Dynamic Load Model - Brossura
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The present work illuminates the real time optimization of economic emission load dispatch problem using modified real coded genetic algorithm. With the increase of power demand generation of power is also increased and expected to be increased too swiftly. Nevertheless its consequences are immense release of nitrogen oxides (NOx), sulphur oxides (SOx) and carbon oxides (COx) from fossil-fuelled based electric power generating stations and it causes damage not only human beings but also other life-forms. Such kind of atmospheric pollution is most accountable for global warming. Keeping in mind about the novel task of reducing pollutants for clean environment it is required to optimize not only fuel cost but emission also. Real time economic emission load dispatch helps to schedule operating generators outcome followed by load demand minimizing fuel cost and emission simultaneously over a certain period of time. Modified real coded genetic algorithm is nothing but a fresh presentation of real coded genetic algorithm with some changes.The computational results reveal that current proposal has excellent convergence characteristics and test results are superior and comparable to other.
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Study on Power Generation Economics Considering Environmental Impact
Editore:
LAP Lambert Academic Publishing Apr 2018, 2018
ISBN 10: 6138389131
ISBN 13: 9786138389132
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present work illuminates the real time optimization of economic emission load dispatch problem using modified real coded genetic algorithm. With the increase of power demand generation of power is also increased and expected to be increased too swiftly. Nevertheless its consequences are immense release of nitrogen oxides (NOx), sulphur oxides (SOx) and carbon oxides (COx) from fossil-fuelled based electric power generating stations and it causes damage not only human beings but also other life-forms. Such kind of atmospheric pollution is most accountable for global warming. Keeping in mind about the novel task of reducing pollutants for clean environment it is required to optimize not only fuel cost but emission also. Real time economic emission load dispatch helps to schedule operating generators outcome followed by load demand minimizing fuel cost and emission simultaneously over a certain period of time. Modified real coded genetic algorithm is nothing but a fresh presentation of real coded genetic algorithm with some changes.The computational results reveal that current proposal has excellent convergence characteristics and test results are superior and comparable to other. 88 pp. Englisch. Codice articolo 9786138389132
Quantità: 2 disponibili
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Study on Power Generation Economics Considering Environmental Impact
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138389131
ISBN 13: 9786138389132
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Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jana DebashisDebashis Jana,currently working as Asst. Prof. in the Department of Electrical Engineering of Institute of Engineering & Management, Sec V, Kolkata, India. His research area includes power economics, power system optimiz. Codice articolo 385848309
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Study on Power Generation Economics Considering Environmental Impact: A Novel Optimization Approach Using Modified Real Coded Genetic Algorithm for Dynamic Load Model
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138389131
ISBN 13: 9786138389132
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Codice articolo zk6138389131
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Immagini fornite dal venditore
Study on Power Generation Economics Considering Environmental Impact
Editore:
LAP Lambert Academic Publishing Apr 2018, 2018
ISBN 10: 6138389131
ISBN 13: 9786138389132
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -The present work illuminates the real time optimization of economic emission load dispatch problem using modified real coded genetic algorithm. With the increase of power demand generation of power is also increased and expected to be increased too swiftly. Nevertheless its consequences are immense release of nitrogen oxides (NOx), sulphur oxides (SOx) and carbon oxides (COx) from fossil-fuelled based electric power generating stations and it causes damage not only human beings but also other life-forms. Such kind of atmospheric pollution is most accountable for global warming. Keeping in mind about the novel task of reducing pollutants for clean environment it is required to optimize not only fuel cost but emission also. Real time economic emission load dispatch helps to schedule operating generators outcome followed by load demand minimizing fuel cost and emission simultaneously over a certain period of time. Modified real coded genetic algorithm is nothing but a fresh presentation of real coded genetic algorithm with some changes.The computational results reveal that current proposal has excellent convergence characteristics and test results are superior and comparable to other.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Codice articolo 9786138389132
Quantità: 2 disponibili
Immagini fornite dal venditore
Study on Power Generation Economics Considering Environmental Impact : A Novel Optimization Approach Using Modified Real Coded Genetic Algorithm for Dynamic Load Model
Editore:
LAP Lambert Academic Publishing, 2018
ISBN 10: 6138389131
ISBN 13: 9786138389132
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present work illuminates the real time optimization of economic emission load dispatch problem using modified real coded genetic algorithm. With the increase of power demand generation of power is also increased and expected to be increased too swiftly. Nevertheless its consequences are immense release of nitrogen oxides (NOx), sulphur oxides (SOx) and carbon oxides (COx) from fossil-fuelled based electric power generating stations and it causes damage not only human beings but also other life-forms. Such kind of atmospheric pollution is most accountable for global warming. Keeping in mind about the novel task of reducing pollutants for clean environment it is required to optimize not only fuel cost but emission also. Real time economic emission load dispatch helps to schedule operating generators outcome followed by load demand minimizing fuel cost and emission simultaneously over a certain period of time. Modified real coded genetic algorithm is nothing but a fresh presentation of real coded genetic algorithm with some changes.The computational results reveal that current proposal has excellent convergence characteristics and test results are superior and comparable to other. Codice articolo 9786138389132
Quantità: 1 disponibili