Analysis of ZIP load modeling in power transmission system

14Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.

Abstract

A Static load model is a relation between measured voltage at a bus, active and reactive power consumed by the load connected at an instant. These models have an exponential or polynomial representation of load. In this paper, the load modeling is considered for constant impedance (Z), constant current (I), constant power (P) and ZIP. The proposed model is incorporated in Newton-Raphson (NR) power flow solution method and analyzed with a MATLAB program. Newton-Raphson (N-R) power flow technique is used for analyzing various load models on the transmission system. The proposed algorithm is tested on a standard 2-machine 5-bus system using MATLAB.

References Powered by Scopus

Experimental determination of the ZIP coefficients for modern residential, commercial, and industrial loads

310Citations
N/AReaders
Get full text

A new measurement method for power signatures of nonintrusive demand monitoring and load identification

194Citations
N/AReaders
Get full text

On dynamic load models for voltage stability studies

93Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Machine Learning for Hybrid Line Stability Ranking Index in Polynomial Load Modeling under Contingency Conditions

9Citations
N/AReaders
Get full text

Reactive Power Requirement for Operating Wind-Driven Micro Grid in the Presence of Several Proportions and Classes of Static Load

6Citations
N/AReaders
Get full text

A novel load flow method for islanded microgrids with optimum droop coefficients

6Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Ram, S. S., Daram, S. B., Venkataramu, P. S., & Nagaraj, M. S. (2018). Analysis of ZIP load modeling in power transmission system. International Journal of Control and Automation, 11(7), 11–24. https://doi.org/10.14257/ijca.2018.11.7.02

Readers over time

‘19‘20‘21‘22‘23‘240481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 9

69%

Researcher 4

31%

Readers' Discipline

Tooltip

Engineering 14

82%

Energy 1

6%

Environmental Science 1

6%

Economics, Econometrics and Finance 1

6%

Save time finding and organizing research with Mendeley

Sign up for free
0