Abstract:
Operation of a system having both hydro and thermal plants is more complicated
than hydro plants which have negligible operating cost, but are required to
operate under constraints of water available for hydro generation in a given
period of time. The problem of minimizing the operating cost of a hydrothermal
system can be viewed as one of minimizing the fuel cost of thermal plants under
the constrains of water availability for hydro generation over a given period of
operation.
Earlier, a wide variety of optimization techniques have applied to solve the
Hydrothermal scheduling problems such as dynamic programing, gradient search
but these methods has drawbacks such as large computation time, algorithm
complexity.
The work done in this dissertation presents solution to short-term hydrothermal
scheduling problem. The solution approach based on Particle Swarm
Optimization (PSO) which applied to a part of Sudanese national grid so that the
operation cost minimized by 16.6%.
