How to optimize capacitor placement in distribution systems?

Optimal capacitor placement in distribution systems using a hybrid technique utilizing fuzzy and GA is suggested in to minimize the operating cost and the deviation of bus voltage and maximize the margin loading of feeders.

Can a capacitor bank be sized optimally in a distribution system?

The feasibility and effectiveness of the proposed algorithm for optimal placement and sizing of capacitor banks in distribution systems, with the definition of a suitable control pattern, have been proved. 1. Introduction

What are the benefits of a capacitor in a distribution network?

Capacitors’ placement at optimal locations in the distribution network and their sizing can reduce losses. This also increases feeders’ ampacity and improves the voltage profile, which leads to reduced network investments [4, 5]. The extent of benefits depends on the location, size, and type of the capacitors.

What is the optimal capacitor placement problem in radial distribution feeders?

In , the optimal capacitor placement problem is presented using a genetic algorithm (GA) using ETAP software. The paper in presents a GA to obtain the optimal locations of the capacitors in radial distribution feeders.

Is a capacitor bank a good model?

The capacitor model adopted in the LF is not ideal: to take into account the internal losses, an active power for the capacitor bank is considered equal to 0.5% of the reactive power. All nodes are eligible for capacitor placement ( ). Table 5. Capacitor bank unit data adopted in the case study.

How do I find the optimal capacitor placement?

The ACO parameters are adjusted to find their optimal values. The ACO algorithm can be applied to find the optimal capacitor placement using the following steps: Insert the control variables that represent the capacitor locations randomly between 0 and 1 in the cases of fixed, switched and the combination of fixed and switched capacitors.