TY  - JOUR
T1  - Optimal Capacitor Sizing for Reactive Power Optimization by Using a New Hybrid
Algorithm Based on Merging of Chaotic Strategy with PSO Algorithm
AU - Nasser Hussain, Ali AU - Abdulabbas Abdullah, Ali AU - Muhammed Neda, Omar 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 7
SP  - 2112
EP  - 2123
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.2112.2123
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.2112.2123
KW  - Reactive power optimization
KW  -Optimal Power Flow (OPF)
KW  -PSO
KW  -Chaotic PSO (CPSO)
AB  - Reactive power optimization is recorded as a complex, non linear and very important problem for
keeping the power system running under normal conditions. In this study, original Particle Swarm Optimization
(PSO) and Chaotic (CPSO) algorithms are utilized as an optimization tools for the solution of this problem. Two
types of loads are presented in this problem: the constant loads (light) and variable loads (heavy) are presented
to evaluate and test the efficiency and consistency of the CPSO algorithm for solving this problem when the
load is changing. In this study in order to prevent plunge at the premature convergence to the local optima, also
to improving the quality and search ability of the original PSO algorithm, chaotic strategy is incorporating with
PSO algorithm to form a hybrid algorithm called CPSO algorithm. This incorporating is very helping to slip more
easily from the local optima, to get accurate solution and also to reach optimal solution in less number of
iterations compared to original PSO algorithm and other algorithms in the literature due to the special behavior
and ergodic of the chaos strategy than random search in original PSO algorithm. In this problem, the decreasing
of real Power Loss (P<sub>L</sub>) is an objective function while dealing with some of inequality and equality constrains. The calculations of reactive power optimization are a part of Optimal Power Flow (OPE) calculations. The
original PSO and CPSO algorithms are tested on IEEE Standard-14 and-30 bus systems. The simulation
implications indicate that, CPSO algorithm has best convergence characteristic and obtained solutions close
to the optimal results for reducing power loss and dealing with inequality and equality constrains at the same
time comparison with original PSO and other techniques in the literature for constant loads and comparison with
original PSO for the case of variable loads.
ER  -