Self-Adaptive Multivariate q-Gaussian-based Capacitor Placement for Reactive Power Compensation in Distribution Feeders

Debashis Jana and Ranjita Chowdhury

Institute of Engineering & Management, Kolkata, India.

ABSTRACT: Reactive power compensation at per level is one of the fundamental operational issues of power systems operation and control. To solve the reactive power compensation problem, the conventional real coded genetic algorithm (RCGA) is customized by the concept of self-adaptation of multivariate q-Gaussian distribution. This is followed by a polynomial mutation approach with arithmetic crossover for optimal control of reactive power in distribution feeders to evade premature convergence with fast rate of convergence. ...

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