Implementation of fuzzy concepts for analysis of radial distribution systems

Abstract

Over the past two decades, considerable advances have been made in the optimization of power generation and major transmission networks. Only recently, much attention has been paid for systematic planning and to optimize the performance of distribution networks with an objective to reduce losses and provide good quality supply to the consumers. newlineThis thesis presents the analysis of voltage regulating devices and conductor grading in radial distribution networks using fuzzy logic for reduction of losses and improvement of bus voltages. The various investigations carried out are selection of optimal branch conductors for radial distribution systems, optimal locations with size of capacitors, optimal locations of voltage regulators with their tap settings and optimal locations with size of distributed generators. In all these studies, load flow solution is required and hence it is necessary to use a simple and efficient load flow method. newlineIn Chapter 2, a simple method of load flow technique for solving balanced radial distribution systems has been presented. The proposed method involves only the solution of a simple algebraic equation of receiving end bus voltages and no trigonometric functions are involved as in the conventional load flow technique. In addition, to identify the structure of the radial distribution system, the concept of data structure is employed. This method can handle system data with any random bus and line numbering scheme except the slack bus being numbered as 1. This method involves construction of a Bus Incidence Matrix (BIM) which is then processed to reflect the structure of the RDS. The proposed method has been tested on several radial distribution systems and results are presented and analyzed. newlineIn Chapter 3, the above load flow technique has been extended for solving 3 phase unbalanced radial distribution systems. The proposed method involves modeling of 3 phase network elements such as transformers, transmission lines and loads to obtain the solution. The load flow solution method makes u