Abstract
Estimation of the customer oriented, load and energy orientated indices are very helpful for assess the harshness of the system failure in a radial distribution feeder for the future purpose of prediction analysis. It can be assessed by means past performance of an arrangement. In reality, at the present time, they are extensively used for future presentation. These indices are used in the distribution system operation and planning studies. Distribution system reliability evaluation is a measure of continuity and quality of power supply to the consumers, which mainly depends on interruption profile, based on system topology and component reliability data. The paper primarily presents the real time radial feeder; the reliability is calculated in two stages. One by insertion capacitor at weak voltage nodes for augmentation of voltage profiles and plummeting the total system losses. Second by placing protective apparatus (isolators) in the feeder and enhance the reliability indices. Paper attempts a successful technique for real time valuation of distribution load flow solutions with a goal of obtaining voltage profiles and total system losses. The voltage profiles improvement and reducing losses by placing capacitors at weak voltage profile nodes using Particle Swarm Optimization (PSO) technique. Reliability Indices are premeditated for the existing feeder prior to and after placement of isolator. Load diversity factor is used for analysis of load data for real time system. The paper presents a topological characteristic of a radial distribution feeder have been fully utilized to make the direct load flow solution is possible. This paper also presents an approach that determines optimal location and size of capacitors on existing radial distribution systems to improve the voltage profiles and reduce the active power loss. The performance of the method was investigated on an 11kV real time rural PantramPalli radial distribution feeder as system of case study. A matlab program was developed and results are presented.
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