Load flow analysis of radial distribution network using linear data structure

TL;DR

This paper introduces a fast, efficient load-flow analysis method for radial distribution networks using linear data structures, aiming to optimize power flow and reduce losses in distribution systems.

Contribution

It proposes a novel linear data structure-based method for load-flow analysis that improves computational efficiency and can be further optimized with multi-core architectures.

Findings

Significant reduction in execution steps compared to traditional methods

Demonstrated efficiency in load-flow analysis for radial networks

Potential for further optimization using multi-core processing

Abstract

Distribution systems hold a very significant position in the power system since it is the main point of link between bulk power and consumers. A planned and effective distribution network is the key to cope up with the ever increasing demand for domestic, industrial and commercial load. The load-flow study of radial distribution network is of prime importance for effective planning of load transfers. Power companies are interested in finding the most efficient configuration for minimization of real power loses and load balancing among distribution feeders to save energy and enhance the over all performance of distribution system. This thesis presents a fast and efficient method for load-flow analysis of radial distribution networks. The proposed method is based on linear data structure. The order of time and space complexity is reported here. There is significant saving in no. of steps execution. Using graph theory concept and exploiting multi-cores architecture, the proposed method for load flow can be further investigated for obtaining more optimized solutions.