Open AccessEvaluation of anti‐islanding techniques for renewable energy powered distributed generators using analytic network process
Author(s) -
Datta Asim,
Saha Debasree,
Ray Amitava,
Das Priyanath
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2015.0461
Subject(s) - islanding , computer science , analytic hierarchy process , reliability engineering , distributed generation , robustness (evolution) , selection (genetic algorithm) , renewable energy , engineering , operations research , electrical engineering , machine learning , biochemistry , chemistry , gene
Recent high penetration of renewable energy powered distributed generation (RE‐DG) is imposing new challenges to the anti‐islanding protection. A survey on the existing islanding‐detection techniques (IDTs) reveals that a wide variety of IDTs are available. Thus, it is an anxiety to decide which kind of islanding‐detection method is suitable for a particular RE‐DG application. Therefore, it is of great significance to select an appropriate IDT depending on the application and criteria preference of the end‐users. There can be mutual correlation among the different criteria of anti‐islanding selection. In this research, a decision‐making technique, the analytic network process, is adopted to select an appropriate IDT for a particular RE‐DG application by analysing operational characteristics of different IDTs. Unlike hierarchy‐based approach, the technique considers the interrelationships amongst the attributes of anti‐islanding selection in order to provide the best selection. Finally, the sensitivity analysis is performed to check the robustness of the selection procedure.