2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) 2017
DOI: 10.1109/itcosp.2017.8303162
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Cited by 7 publications
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“…The scheduling of hydro and thermal power plants in small durations are complex optimization problems in power generation systems due to issues such as the time delay concerning hydro sub-system and the non-convex nature of thermal valve point loading [80], [81], [82]. Hydrothermal scheduling optimization is used to keep the cost of energy generated by thermal power plants to a minimum for the scheduled duration, which not only has obvious financial benefits for both the consumer and producers but also for the environment [80], [81], [82].…”
Section: ) Power Generationsmentioning
confidence: 99%
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“…The scheduling of hydro and thermal power plants in small durations are complex optimization problems in power generation systems due to issues such as the time delay concerning hydro sub-system and the non-convex nature of thermal valve point loading [80], [81], [82]. Hydrothermal scheduling optimization is used to keep the cost of energy generated by thermal power plants to a minimum for the scheduled duration, which not only has obvious financial benefits for both the consumer and producers but also for the environment [80], [81], [82].…”
Section: ) Power Generationsmentioning
confidence: 99%
“…The scheduling of hydro and thermal power plants in small durations are complex optimization problems in power generation systems due to issues such as the time delay concerning hydro sub-system and the non-convex nature of thermal valve point loading [80], [81], [82]. Hydrothermal scheduling optimization is used to keep the cost of energy generated by thermal power plants to a minimum for the scheduled duration, which not only has obvious financial benefits for both the consumer and producers but also for the environment [80], [81], [82]. The non-linearity of the hydrothermal scheduling problem plays into the hands of metaheuristic algorithms in a similar manner as EDP, with the interesting FPA features mentioned and the exciting prospect of hybridization and modifications to FPA, its effect on hydrothermal scheduling optimization is compelling [80], [81], [82].…”
Section: ) Power Generationsmentioning
confidence: 99%
“…Penelitian tentang aplikasi FPA pada PSS menunjukkan hasil yang baik, seperti dalam [17]- [19]. Penelitianpenelitian tersebut ditujukan untuk penempatan phasor measurement units (PMUs) optimal dalam sistem tenaga [17], sistem penjadwalan hydro thermal [18] dan pengendali sudut pitch kincir pada turbin angin [19]. Penelitian ini mengusulkan penggunaan FPA tersebut dalam penalaan PSS pada generator PLTD Pajalesang yang saat ini belum menggunakan kontroler PSS sebagai kontroler tambahan.…”
Section: Pendahuluanunclassified
“…In the literature, various classical and evolutionary based optimization techniques have been developed for solving the optimal ST-HTS problem. Some of the evolutionary algorithms used for solving the ST-HTS problem include: particle swarm optimization (PSO) [4], fully-informed PSO [5], two-swarm based PSO search strategy [6], couple-based PSO [7], hybrid simulated annealing/genetic algorithm [8], quasi-oppositional teaching learning based optimization [9], improved harmony search algorithm [10], successive approximation approach [11], improved TLBO algorithm [12], accelerated PSO [13], flower pollination algorithm [14], symbiotic organisms search algorithm [15], Grey wolf optimizer [16], recurrent neural network [17], modified flower pollination algorithm [18], etc. Some of the literature is also available for solving the multi-objective based ST-HTS problem by optimizing cost and emission using normal boundary intersection and VIKOR in [19], lexicographic optimization and normal boundary intersection method in [20], enhanced multi-objective bee colony optimization algorithm in [21].…”
Section: Introductionmentioning
confidence: 99%