VOLTAGE PROFILE IMPROVEMENT AND POWER LOSS
REDUCTION IN POWER DISTRIBUTION SYSTEMS USING PARTICLE
SWARM OPTIMIZATION by Mandeep Kaur
Abstract : The power distribution systems are becoming bulky day by day due to the increase in electricity
demand; therefore, it becomes necessary to maintain the power distribution systems so that they can
meet the customer demand. Power losses are the major concern in the electrical power system. Uptill
now, many techniques are available for the reduction of these losses but capacitors are considered as a
simple and most powerful device. If capacitor is utilized in a wise way, we may obtain maximum
benefits like voltage profile improvement, power loss reduction, the annual cost reduction due to losses
and enhancement in the net annual savings. In this thesis work, an artificial intelligence technique
known as Particle Swarm Optimization have been used for the allocation of capacitors. The most
sensitive buses which can lead to maximum benefits are selected on the basis of their loss sensitivity
factors and cost function. After the selection of these buses, capacitors are placed on them. These two
methodologies are performed on the basis of an algorithm which consists of a sequence of steps and
henceforth, it is tested on IEEE 39-bus system. The algorithm is implemented in the form of MATLAB
coding which results into improved voltage profile and efficient loss reduction. Particle swarm
optimization is an iterative method, hence it will goes through effective number of iterations in order to
get the global best result.
