Short term hydro thermal scheduling using flower pollination algorithm

Applications of Flower Pollination Algorithm in Electrical Power Systems: A Review

“…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 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].…”

PSS Tuning on Power Generator System using Flower Pollination Algorithm

“…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.…”

Scheduling of Hydrothermal System Considering Variable Nature of Water Transportation Delay

“…Results obtained by this method show that this technique has the capability to obtain near optimal solution. Similarly in recent years, various meta-heuristic and heuristic methods and their hybridized form like Teaching learning based optimization (TLBO) [21], quasioppositional TLBO (OTLBO) [22], Cuckoo search algorithm (CSA) [23], Multi-objective artificial bee colony optimization (MOABC) [24], Symbiotic organisms search (SOS) [25], CRO [26], Grey wolf optimizer (GWO) [27], Real coded chemical reaction optimization (RCCRO) [28], Krill herd algorithm [29], Clonal section algorithm [30], Flower pollination algorithm [31], Sine cosine algorithm [32], Ant lion optimizer (ALO) [33], Whale optimization (WOA) [34], Modified CSA [35], Quasi-reflected symbiotic organisms search (QRSOS) [36], Quasi-reflected ions motion optimization [37], Improved predator influenced civilized swarm optimization [16,38], Real coded genetic algorithm with artificial fish swarm algorithm (RCGA-AFSA) [39], ORCCRO [40], Modified chaotic differential evolution (MCDE) [41], Modified dynamic neighbourhood learning based particle swarm optimization [42], Hybrid chemical reaction optimization [43], Non-dominated sorting gravitational search algorithm integrated with disruption operator (NSGSA-D) [44], Hybridized gravitational search algorithm [45], Parallel multiobjective differential evolution (PMODE) [46], Hybrid particle swarm optimization approach with small population size (HPSO-SP) [47], Quasi-oppositional group search optimization (QOGSO) [48], Parallel muti-objective genetic algorithm [49], Improved harmony search algorithm [50], Adaptive selective CSA [51], Couple-based particle swarm optimization…”