Probabilistic Approach for Load Flow Analysis of Radial Distribution System

2020 ◽  
pp. 29-37
Author(s):  
Anuj Banshwar ◽  
Mohit Pathak ◽  
Bharat Bhushan Sharma ◽  
Naveen Kumar Sharma ◽  
Sumit Kumar
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Probabilistic Approach ◽  
Flow Analysis ◽  
Load Flow ◽  
Radial Distribution System ◽  
Load Flow Analysis

scholarly journals Improved Algorithm for Load Flow Analysis of Radial Distribution System

2017 ◽  
Vol 10 (18) ◽  
pp. 1-7 ◽  
Author(s):  
V. Kumar ◽  
Shubham Swapnil ◽  
R. Ranjan ◽  
V. R. Singh ◽  
◽  
...  
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Flow Analysis ◽  
Load Flow ◽  
Radial Distribution System ◽  
Load Flow Analysis ◽  
Improved Algorithm

scholarly journals Adaptive Algorithm for Solving the Load Flow Problem in Distribution System

2018 ◽  
Vol 27 (3) ◽  
pp. 377-391
Author(s):  
Vipin Kumar ◽  
Shubham Swapnil ◽  
V. R. Singh
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Adaptive Algorithm ◽  
Distribution Systems ◽  
Flow Problem ◽  
Flow Analysis ◽  
Load Flow ◽  
Radial Distribution System ◽  
Load Flow Analysis ◽  
Sweep Algorithm

Abstract This paper presents a fast and efficient method for load flow analysis of radial distribution networks. Here, an adaptive algorithm is proposed to analyze the load flow problem of distribution systems. An adaptive algorithm is the combination of backward/forward (BW/FW) sweep and cuckoo search (CS) algorithms. In the proposed method, the optimum load flow analysis of the radial distribution system is attained, while optimizing the voltage and current computation of the BW/FW sweep algorithm. Now, by the CS, the output voltage of the BW/FW sweep algorithm is compared with the standard voltage and optimized. From the optimized voltage and current, load flow parameters like power loss and real and reactive power flow are assessed. The proposed method is implemented using the MATLAB platform and tested into the IEEE 33 bus radial distribution system. The effectiveness of the proposed technique is determined by comparing with the BW/FW algorithm and genetic algorithm-based BW/FW algorithm.

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