z-logo
open-access-imgOpen Access
Polar Coordinates based N-R Method for Load Modelling in Electrical Power Distribution Systems
Author(s) -
S. Venkatasivanagaraju,
M. Venkateswara Rao
Publication year - 2021
Publication title -
wseas transactions on power systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.165
H-Index - 14
eISSN - 2224-350X
pISSN - 1790-5060
DOI - 10.37394/232016.2021.16.35
Subject(s) - convergence (economics) , electric power system , computer science , polar coordinate system , newton's method , power (physics) , generator (circuit theory) , control theory (sociology) , matlab , term (time) , mathematical optimization , mathematics , geometry , physics , control (management) , quantum mechanics , nonlinear system , artificial intelligence , economics , economic growth , operating system
In this paper, load modelling has been done in electrical distribution system using local real time test data. This distribution system supplies base loads, residential, industrial, commercial and composite loads. Using power and current-mismatch functions in polar form, a comprehensive framework for applying the Newton–Raphson method to solve power flow problems is presented. The Newton–Raphson approach for solving power flow problems can be applied in six different ways using these two mismatch functions. For load (PQ)buses and generator (PV) buses, we propose a theoretical framework for analyzing these versions. In addition, we compare newly created versions of the Newton power flow method to current variants in this study. Numerical studies on distribution networks are used to study the convergence behavior of all approaches. The measurements are formed for short term load forecasting with different types of realistic loads such as base loads, residential, industrial, commercial and composite loads. The long-term load forecasting and their losses also has been performed along with short term load forecasting. The results are obtained and validated through MATLAB.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here