2020
DOI: 10.1049/iet-gtd.2020.0482
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Risk‐based many‐objective configuration of power system fault current limiters utilising NSGA‐III

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Cited by 12 publications
(10 citation statements)
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“…Based on the four types of PM models that include single-and bi-objective models with and without the constraint, PM strategies in the green industry were extensively investigated. For the bi-objective PM optimization, NSGA-III [24][25][26][27][28] was employed, which was previously adopted to solve various multi-objective optimization problems, with modifications made for specific problems [29][30][31][32][33]. The algorithm was further developed to optimize the competitive PM alternatives in the Pareto front in the form of maintenance activities in the degradation states of components.…”
Section: Related Workmentioning
confidence: 99%
“…Based on the four types of PM models that include single-and bi-objective models with and without the constraint, PM strategies in the green industry were extensively investigated. For the bi-objective PM optimization, NSGA-III [24][25][26][27][28] was employed, which was previously adopted to solve various multi-objective optimization problems, with modifications made for specific problems [29][30][31][32][33]. The algorithm was further developed to optimize the competitive PM alternatives in the Pareto front in the form of maintenance activities in the degradation states of components.…”
Section: Related Workmentioning
confidence: 99%
“…Decentralization of the energy production units has been proven to be a workable solution to tackle many obstacles, including economic, environmental and reliability issues [1]. Distributed energy resources (DERs) are far cheaper than conventional large-scale power plants, which attributes to the proliferation of private investors, leading to the emergence of a free market environment, wherein so-called invisible hands of the economy foster efficiency and increase reliability [2]. In outdated energy provision systems, distribution systems (DS) were inactive price-taker energy consumers.…”
Section: Motivationmentioning
confidence: 99%
“…The nondominated sorting genetic algorithm III (NSGA-III) [21][22][23] has been successfully adopted to solve various multiobjective optimisation problems, and variants have been developed for specific problems [24][25][26][27][28]. Bhesdadiya et al [21] applied NSGA-III to lower the emission value and fuel cost of fossil fuel power plants while providing a sustainable and reliable power supply.…”
Section: Main Transmission Gearbox (Mtg)mentioning
confidence: 99%
“…Bhesdadiya et al [21] applied NSGA-III to lower the emission value and fuel cost of fossil fuel power plants while providing a sustainable and reliable power supply. Guo et al [22] proposed a risk-based multiobjective framework for a fault current limiter (FCL) that employs a data-driven proportional hazard model to consider equipment ageing, weather statistics, and surrounding conditions for evaluating the nodal shortcircuit fault probability. NSGA-III was used to configure the FCL in a more economical manner.…”
Section: Main Transmission Gearbox (Mtg)mentioning
confidence: 99%