An interval type-2 fuzzy logic based strategy for microgrid protection

Bukhari, Syed Basit Ali; Haider, Raza; Zaman, Muhammad Saeed Uz; Oh, Yun-Sik; Cho, Gyu-Jung; Kim, Chul‐Hwan

doi:10.1016/j.ijepes.2017.11.045

Cited by 61 publications

(28 citation statements)

References 33 publications

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“…For example, the cost of electricity supply interruptions and the outage cost of DG units are critical measures that should be considered in the economic evaluation of the protection scheme [44], [45]. The trend towards using communication means for protecting distribution systems is also reflected on the numerous research papers adopting this philosophy [3]- [11], [13]- [25], [27], [28], [31], [32]. In fact, in [7], [8], communication-based protection schemes are considered for real looped distribution networks.…”

Section: G Economic Evaluationmentioning

confidence: 99%

Towards Plug-and-Play Protection for Meshed Distribution Systems With DG

Tsimtsios

Nikolaidis

2020

IEEE Trans. Smart Grid

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Future distribution systems are expected to display increased complexity, mainly due to looped/meshed operation, switch between grid-connected and islanded mode and considerable integration of distributed generation. This paper investigates a plug-and-play protection solution for overhead distribution systems with such variable operation conditions, employing existing numerical relay capabilities. This solution is applied by designing plug-and-play, communication-assisted, multifunctional relays with integrated protection element settings, which apply universally to all distribution system conditions, rendering the protection scheme independent of a specific system. Hence, the need for user-defined settings or future revisions due to system changes is eliminated. The scheme ensures coordination between main line relays and backup protection of laterals, without a coordination study. There is no need to replace or modify existing lateral protection means for this purpose; only their known timeovercurrent curves are uploaded to the relays by the user. The scheme is described and evaluated through simulations in two test systems. Meaningful conclusions are finally derived.

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Section: G Economic Evaluationmentioning

confidence: 99%

Towards Plug-and-Play Protection for Meshed Distribution Systems With DG

Tsimtsios

Nikolaidis

2020

IEEE Trans. Smart Grid

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“…Therefore, a microgrid experiences significantly different fault currents in each scenario for a similar fault. Consequently, the protection schemes designed for the traditional distribution networks cannot be applied to the microgrids without significant modifications and may face problems such as sympathetic tripping, sensitivity loss, blinding of protection, and miss-coordination [8]. A protection strategy for a microgrid must cope with the aforementioned problems and should be adaptable, reliable, accurate, and fast to protect sensitive loads and to maintain the stability within microgrids [9].…”

Section: Introductionmentioning

confidence: 99%

Convolutional Neural Network‐Based Intelligent Protection Strategy for Microgrids

Bukhari

Kim

Mehmood

et al. 2020

IET Generation, Transmission & Distribution

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“…Based on the literature review, fuzzy logic can be used not only in the development of the microgrid EMS, but also in the definition of protection strategies and the establishment of decision rules. Based on this, Bukhariet et al [32] developed two different fuzzy systems to detect, classify, and locate the faults in microgrids, and Oliveira et al [10] proposed a fuzzy-based methodology approach for microgrids under an islanded operation that aimed to maximize the number of supplied customers during a minimum period of time.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

et al. 2020

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This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

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An interval type-2 fuzzy logic based strategy for microgrid protection

Cited by 61 publications

References 33 publications

Towards Plug-and-Play Protection for Meshed Distribution Systems With DG

Towards Plug-and-Play Protection for Meshed Distribution Systems With DG

Convolutional Neural Network‐Based Intelligent Protection Strategy for Microgrids

Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

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