The objective of this project is to allocate and size reactive power resources for normal
operating conditions subject to various system constraints. This being an optimization
problem, Genetic Algorithm (GA) optimization technique is used due to its ability to
converge to global optima. GA is modeled on the process of natural evolution. It employs
operators such as selection, crossover and mutation with the aim of improving fitness of
subsequent generations for survival.
Reactive power (RP) is the imaginary component of complex power stored in form of
magnetic and electric fields by inductors and capacitors respectively. RP is needed for
transfer of real or useful power in an AC system to maintain voltage stability of the power
Reactive Power Planning (RPP) involves allocation and sizing of static reactive resources for
normal operation of the power system. These are devices whose reactive capacity is fixed and
include series and shunt capacitors, reactors etc. Additionally, dynamic resources are also
used in case of contingency on components such as transformers, transmission lines and
power plant units. For these their reactive capacity varies depending on the condition of the
system and includes: - SVC and STATCOM.
The power system being a practical system has several constraints such as capacity limits of
the resources, system voltage limits etc.
The IEEE 14-bus network was used as the test network and the code developed using
MATLAB for the RPP problem.
Results obtained show a reduction in real and reactive losses and improvement in the voltage