Journal of Global Optimization
Two hybrid differential evolution algorithms for engineering design optimization
Applied Soft Computing
A 2-Opt based differential evolution for global optimization
Applied Soft Computing
Differential evolution algorithm with ensemble of parameters and mutation strategies
Applied Soft Computing
Solving nonlinear optimal control problems using a hybrid IPSO-SQP algorithm
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Differential evolution for parameterized procedural woody plant models reconstruction
Applied Soft Computing
Artificial bee colony algorithm solution for optimal reactive power flow
Applied Soft Computing
A novel differential evolution algorithm with adaptive of population topology
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Optimal power flow solution using improved harmony search method
Applied Soft Computing
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Differential evolution based optimal reactive power dispatch for real power loss minimization in power system is presented in this paper. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions and the number of shunts to be switched, for real power loss minimization in the transmission system. The problem is formulated as a mixed integer nonlinear optimization problem. A generic penalty function method, which does not require any penalty coefficient, is employed for constraint handling. The formulation also checks for the feasibility of the optimal control variable setting from a voltage security point of view by using a voltage collapse proximity indicator. The algorithm is tested on standard IEEE 14, IEEE 30, and IEEE 118-Bus test systems. To show the effectiveness of proposed method the results are compared with Particle Swarm Optimization and a conventional optimization technique - Sequential Quadratic Programming.