Fuzzy Logic and Immune-Based Algorithm for Placement and Sizing of Shunt Capacitor Banks in a Distorted Power Network

This paper presents an effective procedure based on fuzzy logic and the immune algorithm for the placement and sizing of shunt capacitor banks in a distorted power network. In the study, the power-loss index associated with each bus, the root mean square (rms) voltage, the total harmonic voltage distortion at each bus, and the capacitor site suitability are modeled as fuzzy membership functions. The suitability of each candidate capacitor location is first calculated. Then, the associated capacitor size at each candidate bus is scheduled by the hybrid immune- and fuzzy logic-based algorithm, in which two fuzzy-logic-determined indices representing the binding strength percentages of the constraint intensity and the total cost are proposed to improve the solution procedure. Results are then compared with those obtained by two other fuzzy- and genetic algorithm-based approaches to show the superiority of the proposed method.