OPTIMAL RESERVOIR OPERATION FOR HYDROPOWER GENERATION USING GENETIC ALGORITHMS FOR UKAI RESERVOIR PROJECT
Keywords:
Reservoir Operation, Genetic Algorithm, Optimization, Hydropower Generation, Ukai ReservoirAbstract
Operation of reservoirs, often for conflicting purposes, is a difficult task. The solution to the problem is difficult because of the
large number of variables involved, the non-linearity of system dynamics, the stochastic nature of future inflows, and other
uncertainties of the system. The uncertainty associated with reservoir operations is further increased due to the on-going
hydrological impacts of climate change. Therefore, various artificial intelligence techniques such as genetic algorithms, antcolony optimization, and fuzzy logic are increasingly being employed to solve multi-reservoir operation problems. Here the
Genetic Algorithm technique is used for reservoir operation of Ukai Reservoir for hydropower generation. For doing
optimization, objective function is formulated which is subjected to various constraints. Constraints include continuity equation,
reservoir storage constraints, release constraint and overflow constraint. Monthly data for the study are used of year 2007 to
2011. Three models are developed. In this study, there are three models are developed from 2007. Genetic algorithm is a robust
search technique to solve problems which needs optimization. Genetic algorithm is based on Darwin’s theory of Survival of the
fittest. GA reduces the difference between releases and demand and returns the value of the fitness function / Objective function.
The releases to be made from the reservoir are also obtained. The releases obtained from all these models are compared with the
actual releases made from the reservoir. The models are also compared based on their fitness values. In 2007, using Genetic
Algorithm the generation of power can be increased 9.22% through optimal releases. There is 7.14% increase in optimal
reservoir release. For average data of three year, using Genetic Algorithm the generation of power can be increased to 7.49%
through optimal releases. There is 5.30% variation between existing and optimal reservoir release. In 2009, the generation of
power can be increased to 5.15% through optimal releases. There is 4.90 % variation between existing and optimal reservoir
release.
