TY - JFULL
AU - Vijay Kumar and Jagdev Singh and Yaduvir Singh and Sanjay Sood
PY - 2015/5/
TI - Optimal Economic Load Dispatch Using Genetic Algorithms
T2 - International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering
SP - 462
EP - 470
EM - vkjoshiit@gmail.com
VL - 9
SN - 1307-6892
UR - http://waset.org/publications/10001623
PU - World Academy of Science, Engineering and Technology
NX - International Science Index 100, 2015
N2 - In a practical power system, the power plants are not
located at the same distance from the center of loads and their fuel
costs are different. Also, under normal operating conditions, the
generation capacity is more than the total load demand and losses.
Thus, there are many options for scheduling generation. In an
interconnected power system, the objective is to find the real and
reactive power scheduling of each power plant in such a way as to
minimize the operating cost. This means that the generatorâ€™s real and
reactive powers are allowed to vary within certain limits so as to meet
a particular load demand with minimum fuel cost. This is called
optimal power flow problem. In this paper, Economic Load Dispatch
(ELD) of real power generation is considered. Economic Load
Dispatch (ELD) is the scheduling of generators to minimize total
operating cost of generator units subjected to equality constraint of
power balance within the minimum and maximum operating limits of
the generating units. In this paper, genetic algorithms are considered.
ELD solutions are found by solving the conventional load flow
equations while at the same time minimizing the fuel costs.
ER -