Back to Search
Start Over
Hybrid mixed-integer non-linear programming approach for directional over-current relay coordination
- Source :
- The Journal of Engineering (2019)
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- This article proposes the optimal coordination problem of protective relays within a hybrid optimisation framework which is presented based on integer coded genetic algorithm (ICGA) and non-linear programming (NLP). The optimal coordination problem of directional overcurrent relays (DOCRs) is implemented while aimed at finding the optimal plug setting multiplier (PSM) and time dial setting (TDS). In this respect, PSM is a function of the current transformer (CT) size and the tap of the relay which is discrete in nature. TDS is a function of the operating time of the relay for different short-circuit currents at different locations of the system. Here, the variables of the problem are decomposed into continuous and discrete variables. The first stage of the problem uses the ICGA to determine the size of CTs considering the permitted tap of relays while the second stage utilises the NLP method to evaluate the feasibility and optimality. The presented framework is then simulated on an 8-bus test system. The obtained results verify the effectiveness and the applicability of the optimisation technique to find the optimal settings of DOCRs.
- Subjects :
- nonlinear programming
genetic algorithms
overcurrent protection
relay protection
integer programming
optimal coordination problem
protective relays
hybrid optimisation framework
icga
psm
time dial setting
tds
current transformer size
operating time
short-circuit currents
continuous variables
discrete variables
optimality
optimal settings
hybrid mixed-integer nonlinear programming approach
directional over-current relay coordination
integer coded genetic algorithm
Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 20513305
- Database :
- Directory of Open Access Journals
- Journal :
- The Journal of Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.b8a532c872a84355a4f4acc93e7451ca
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/joe.2018.9346