Using fuzzy ILC for reactive power planning in distribution systems

Reactive power optimization in distribution systems is investigated in this paper. The objective of this paper is to determine the proper setting values and placing of capacitor banks. A novel Fuzzy Iterative Learning Control (FILC) approach is proposed in this paper. The reactive power is controlled by shunt capacitor banks. The problem formulation considers two distinct objectives related to total cost of power loss and total cost of capacitors including the purchase and installation costs. The formulation is a multi-objective and non-differentiable optimization problem. The proposed method of this article uses FILC for sizing and sitting of capacitor banks in radial distribution feeders. This algorithm is applied to several standard test case systems and its results are compared to those generated by other methods.

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