Short Term Hydrothermal Scheduling Using Particle Swarm Optimization

Abstract

Operation of a system having both hydro and
thermal plants is a challenging problem as hydro plants
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 underconstrains 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
work presents solution to short-term hydrothermal
scheduling problem. The solution approach based on
Particle Swarm Optimization (PSO) under matlab
software.