Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO

Samet, Haidar; Hashemi, F.; Ghanbari, Teymoor

doi:10.1016/j.rser.2015.07.080

Cited by 72 publications

(37 citation statements)

References 75 publications

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“…BP network is a multilayer feed-forward network trained by the error back propagation algorithm [21,22]. The input data passes from the input layer nodes to the hidden nodes followed by the transfer function, then spread to the output nodes.…”

Section: Localization Algorithm Based On Pso-bp Neural Networkmentioning

confidence: 99%

A Novel Hybrid Localization Method for Wireless Sensor Network

Wang

Tiansi

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Wireless sensor network is a kind of brand-new information acquisition platform, which is realized by the introduction of self-organizing and auto-configuration mechanisms. Node localization technology represents a crucial component of wireless sensor network. In this paper, a localization method based on kernel principal component analysis and particle swarm optimization back propagation algorithm is carefully discussed. First of all, taking KPCA as the front-end system to extract the main components of the localization information, and then regarding the nonlinear principal components extracted from distance vectors as the input samples, and meanwhile taking the coordinates of vertices in addition to the region boundary as the output samples, the PSO-BP neural network is trained to achieve the localization model. Finally the localization of unknown nodes can be estimated. The simulation experiment result showed that the method has high ability of stability and precision, and meets the practical need of localization.Index terms: Wireless sensor network, localization, kernel principal component analysis, particle swarm optimization, back-propagation algorithm.

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Section: Localization Algorithm Based On Pso-bp Neural Networkmentioning

confidence: 99%

A Novel Hybrid Localization Method for Wireless Sensor Network

Wang

Tiansi

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

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“…RLC load circuits are basically used for islanding analysis as they form the worst situations for islanding detection by the relevant schemes. Detection schemes for islanding are generally not affected by the nonlinear loads or loads with constant power …”

Section: Introductionmentioning

confidence: 99%

“…Detection schemes for islanding are generally not affected by the nonlinear loads or loads with constant power. 4,5 Detection of an islanding condition can broadly be distinguished into 2 schemes: remote and local schemes. Remote schemes are communication-based channels constructed between the DGs and the utility.…”

Section: Introductionmentioning

confidence: 99%

Hybrid islanding detection with optimum feature selection and minimum NDZ

Chandak

Mishra

Rout

2018

Int Trans Electr Energ Syst

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Summary Integration of the distributed generators into a distribution system encounters various system issues, and out of those islanding detection is 1 of the major protection problems to focus on. Many detection schemes have been proposed in the recent past, which possess a nondetection zone (NDZ) and usually neglect to provide a justification for the selected detecting features among all possible measures. Sensitive feature selection and minimization of NDZ are the 2 major objectives of this study. This paper comprises of 2 operational modes of designed IEEE 13‐bus test feeder (offline mode and online mode of operation). The offline mode of system operation focuses on selecting the optimal feature vectors using the proposed “modified multiobjective differential evolution algorithm” coupled with an extreme learning machine classifier. The modified multiobjective differential evolution algorithm‐extreme learning machine is applied to find out 2 optimum feature vectors, one by considering accuracy and minimal features and another one by dependability with a single feature as its objective functions. The online mode concentrates on the proposed new hybrid islanding detection method comprised of both passive and active detection techniques. Passive technique implements a decision tree designed by using the obtained accuracy‐based feature vector. Decision tree triggers the active method on suspecting the runtime instances as non‐islanding events to reduce the NDZ. Active method uses the obtained dependability‐based feature vector as an injecting parameter. The test results indicate the efficiency and accuracy of the proposed approach under different circumstances of power mismatch.

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“…Therefore, in this situation, directional relays (DRs) are used to discriminate fault direction and prevent false tripping . Consequently, these key elements improve selectivity and reliability of protection schemes . For this reason, the importance of this protection is growing with increasing penetration of DG units to power systems …”

Section: Introductionmentioning

confidence: 99%

“…4 Consequently, these key elements improve selectivity and reliability of protection schemes. 5 For this reason, the importance of this protection is growing with increasing penetration of DG units to power systems. 6 On the other hand, in order to handle the increased fault current, protection equipment such as fuses and breakers should be replaced with higher rating equipment, 7 which is a time consuming and expensive approach.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of directional relay algorithms in presence of wind turbines and fault current limiters

Samet

Ghanbari

Ashtiani

et al. 2018

Int Trans Electr Energ Syst

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Summary Connection of distributed generations (DGs) to distribution networks changes their radial construction to mesh type and increases fault current level. In order to prevent over current relay tripping in case of out‐of‐zone faults, direction of faults must be determined. On the other hand, fault current limiters (FCLs) are a suitable technique to reduce the issue of fault current increasing. In this paper, it is confirmed that operation of FCLs affects voltage and current signals, drastically. Since fault direction is detected by directional relays using these signals, hence, FCLs can affect the performance of the relays. In the other hand, if the added DG is a wind turbine, it may affect the directional relays performance due to intricate fault behavior of wind turbines. To investigate the mentioned hypothesis, some of directional relaying algorithms are evaluated in presence of wind turbine and FCL.

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Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO

Cited by 72 publications

References 75 publications

A Novel Hybrid Localization Method for Wireless Sensor Network

A Novel Hybrid Localization Method for Wireless Sensor Network

Hybrid islanding detection with optimum feature selection and minimum NDZ

Evaluation of directional relay algorithms in presence of wind turbines and fault current limiters

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