@article{(Open Science Index):https://publications.waset.org/pdf/3674,
	  title     = {Enhanced Particle Swarm Optimization Approach for Solving the Non-Convex Optimal Power Flow},
	  author    = {M. R. AlRashidi and  M. F. AlHajri and  M. E. El-Hawary},
	  country	= {},
	  institution	= {},
	  abstract     = {An enhanced particle swarm optimization algorithm
(PSO) is presented in this work to solve the non-convex OPF
problem that has both discrete and continuous optimization variables.
The objective functions considered are the conventional quadratic
function and the augmented quadratic function. The latter model
presents non-differentiable and non-convex regions that challenge
most gradient-based optimization algorithms. The optimization
variables to be optimized are the generator real power outputs and
voltage magnitudes, discrete transformer tap settings, and discrete
reactive power injections due to capacitor banks. The set of equality
constraints taken into account are the power flow equations while the
inequality ones are the limits of the real and reactive power of the
generators, voltage magnitude at each bus, transformer tap settings,
and capacitor banks reactive power injections. The proposed
algorithm combines PSO with Newton-Raphson algorithm to
minimize the fuel cost function. The IEEE 30-bus system with six
generating units is used to test the proposed algorithm. Several cases
were investigated to test and validate the consistency of detecting
optimal or near optimal solution for each objective. Results are
compared to solutions obtained using sequential quadratic
programming and Genetic Algorithms.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {4},
	  number    = {2},
	  year      = {2010},
	  pages     = {318 - 322},
	  ee        = {https://publications.waset.org/pdf/3674},
	  url   	= {https://publications.waset.org/vol/38},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 38, 2010},
	}