Hybrid mixed-integer non-linear programming approach for directional over-current relay coordination

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 implem...

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Vydáno v:Journal of engineering (Stevenage, England) Ročník 2019; číslo 18; s. 4743 - 4747
Hlavní autoři: Javadi, Mohammad Sadegh, Nezhad, Ali Esmaeel, Anvari-Moghadam, Amjad, Guerrero, Josep M
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 01.07.2019
Wiley
Témata:
continuous variables
current transformer size
directional over-current relay coordination
discrete variables
genetic algorithms
hybrid mixed-integer nonlinear programming approach
hybrid optimisation framework
ICGA
integer coded genetic algorithm
integer programming
nonlinear programming
operating time
optimal coordination problem
optimal settings
optimality
overcurrent protection
protective relays
PSM
relay protection
short-circuit currents
TDS
The 7th International Conference on Renewable Power Generation (RPG 2018)
time dial setting
current transformer size
TDS
nonlinear programming
integer programming
optimality
operating time
genetic algorithms
PSM
discrete variables
short-circuit currents
time dial setting
integer coded genetic algorithm
continuous variables
hybrid optimisation framework
optimal settings
relay protection
overcurrent protection
ICGA
protective relays
hybrid mixed-integer nonlinear programming approach
directional over-current relay coordination
optimal coordination problem
ISSN:2051-3305, 2051-3305
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Shrnutí: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.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2018.9346