الفهرس 
IntroductionOnly 14 pages are availabe for public view
 |  | from | 16 |  |  |
| | | from | 16 | | |
Abstract
Capacitors are widely installed in distribution systems for reactive power compensation to. Achieve total power and energy reduction. It also affects voltage regulation, and system capacity release. The extent of these benefits depend greatly Oil how the capacitors are placed and controlled on the system. The general capacitor placement problem is concerned with how to choose the locations, types, sizes, and control schemes for the capacitors in a general distribution system such that these benefits are achieved and/or maximized against the cost of the capacitors, while load constraints at each bus and operational constraints (e.g., voltage profile, current magnitude) at each node and each branch during varying loading conditions are satisfied. The objectives here are the cost of reduction of the energy losses is maximized and the voltages at different nodes of the system are maintained within the acceptable limits. The loads on the system vary during different hours of the day. In practice, capacitors are available in discrete sizes, and, for all practical purposes, loads on the system may be assumed to vary in discrete steps only. The objective function of the capacitor placement problem is thus non-differentiable and is not fit for direct application of the nonlinear classical optimization techniques. Genetic algorithm has been used to solve the problem of capacitor placement in power distribution systems. A new composition of the genetic string has been proposed for the coding of the capacitor placement problem. The proposed genetic string represents both the optimum location and the size of the capacitor. A number of modifications have also been proposed to improve the performance of the simple genetic algorithm in solving the capacitor placement problem. Test results have been presented in support of the superiority of the proposed modifications.