Abstract
This paper suggests an innovative approach for the ideal placement and categorization of capacitors in radial distribution networks (RDNs) by applying symmetric fuzzy and improved bacterial foraging optimization algorithm (IBFOA) solutions. The reactive power reimbursement significantly enhances the function of the power system, and capacitor placement is an impressive technique used to reduce loss of the system. The capacitor allocation for distribution system problems involves determining the ideal location and size of the capacitor. In this work, load flow is performed at first to compute actual losses and voltages at different nodes without compensation. In the planned technique, the loss sensitivity factor (VSF) and voltage stability index (VSI) are utilized to determine the optimal location of capacitors in RDNs. Here, the IBFOA is used to determine the proper rating of the capacitor. The suggested scheme is applied on three different types of RDNs.
Highlights
Electric power is constantly transferred from source to distribution via transmission, where active and reactive power losses occur [1]
Symmetric fuzzy power flow evaluation is proposed to maximize the accuracy of the method, to reduce computational effort, and to make it possible to achieve high levels of accuracy when applied to real systems
The voltage stability index (VSI) and the loss sensitivity factor (LSF) are the two factors used for identifying the exact location of the capacitor
Summary
Electric power is constantly transferred from source to distribution via transmission, where active and reactive power losses occur [1]. Advantages of capacitor placement include minimization of real and reactive power losses, power factor enhancement, appropriate voltage profile maintenance, and the release of overburden on feeders and transformers [3]. Aside from these advantages, if the size and location of the capacitor are not appropriate, the framework might be defenseless and act in anomalous ways, and voltage increments might pass cut-off points, causing unsatisfactory power factors, poor arrangements, and parallel resonance issues [4,5]. The overview of the proposed work is as follows: Section 2 dictates the related techniques of the paper; Section 3 explains the proposed methodology that determines the capacitor’s location using fuzzy logic and the size of the capacitor using IBFOA; Section 4 explains the results and discussion in relation to MATLAB programming; Section 5 concludes
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