Abstract:
This paper delineates a computational framework
to ascertain optimum thermal generation schedule using
newfangled grey wolves optimization (GWO) technique
corresponding to environmentally sustainable, economic
operation. This scheduling problem is devised as a biobjective
optimization and linear interpolated price penalty
model is developed based on simple analytical geometry
equations which blends two non-commensurable objectives
perfectly. In order to obtain high-quality solutions within
lesser executing time, the algorithm parameters are nicely
replaced with system parameters that carry out global and
local search process in the feasible region collaboratively.
Further, an appropriate constraint handling mechanism is
suitably incorporated in the algorithm that intern produces
a stable convergence characteristic. The effectiveness of the
proposed approach is illustrated on six unit thermal systems
with due consideration of transmission line loss and valve
point loading effect. The desired GWO technique reports a
new feasible solution for quadratic and non-convex thermal
operating model which is compared with the solution that
has evolved earlier and the comparison shows that the
GWO technique has outstripped other algorithms
effectively.
