Abstract
In this paper, a novel approach using approximate reasoning is used to determine suitable candidate nodes in a distribution system for capacitor placement. Voltages and power loss reduction indices of distribution system nodes are modeled by furzy membership functions. A fuzzy expert system (FES) containing a set of heuristic rules is then used to determine the capacitor placement suitability of each node in the distribution system. Capacitors are placed on the nodes with the highest suitability. a new design methodology for determining the size, location, type and number of capacitors to be placed on a radial distribution system is presented. The objective is to minimize the peak power losses and the energy losses in the distribution system considering the capacitor cost. Test results have been presented along with the discussion of the algorithm.
Highlights
Efficiency of power system depends on distribution system
Many distribution systems used in practice have a single circuit main feeder and are defined as radial distribution systems
An approach incorporating the use of fuzzy sets theory has been presented in this project to determine the optimal number, locations and ratings of capacitors to place in a distribution system
Summary
Efficiency of power system depends on distribution system. Distribution system provides the final link between the high voltage transmission system and the consumers. A distribution circuit normally uses primary or main feeders and lateral distributors. With rapid growth of computing power, new class of search techniques capable of handling large and complex problems has been developed during the last few decades. These techniques have been explored for the solution of the capacitor placement problem. Identification of proper membership function is the most challenging task in the development of fuzzy based solution techniques. Node voltage measures and power loss in the network branches have been utilized as indicators for deciding the location and the size of the capacitors in fuzzy based capacitor placement methods
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