Application of Flower Pollination Algorithm for Solving Short Term Hydro Thermal Scheduling Problem with Prohibited Operating Zones

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

“…The results conclude that the IFPA can produce higher quality solutions with superior convergence characteristics on all cases [111]. The papers [81], [80], [111], [114] provide sufficient evidence which concludes that the use of FPAs strong search capabilities through global and local pollination techniques makes it a viable solution to solving the hydrothermal scheduling problem.…”

“…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].…”

“…Balachander et al [81] provided a mathematical breakdown on the hydrothermal scheduling problem and used FPA on a test scenario in which a single hydro and thermal power plant were used. The test results presented in [81], and [80], demonstrated FPA's superior search capabilities and potential to obtain global solutions in less settling time than traditional approaches (GA, PSO, BFA). Sutradhar et al [114] tested the validity of the MFPA to solve the Hydrothermal Scheduling problem.…”