Abstract
Hydropower is claimed to be one of the least expensive but most reliable sources of renewable energy. The frequency of power generation depends directly on the flow of water on which the power production facility has been constructed. The flow of water depends on the upstream rainfall, which contributes to the surface runoff to create the flow in the channel which rotates the turbine for production of electricity. The utilization factor of a hydropower plant (HPP) is defined as the ratio between the energy actually produced to the energy production capacity of the hydropower plant (HPP). It is synonymous with load factor if the capacity of the HPP and the maximum energy produced become equal. The present study will aim to identify the optimal zones where minimum rainfall and maximum utilization can be achieved by employing particle swarm optimization within the known constraints of small scale hydropower plant. The result of the study will highlight the adjustments required to be followed in the hydropower plants in generating optimal power output even in the days of scarce rainfall.
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Majumder, M., Ghosh, S., Barman, R.N. (2013). Tradeoff Analysis Between Rainfall and Load Factor of a Small-Scale Hydropower Plant by Particle Swarm Optimization. In: Majumder, M., Barman, R. (eds) Application of Nature Based Algorithm in Natural Resource Management. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5152-1_3
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DOI: https://doi.org/10.1007/978-94-007-5152-1_3
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