Placement optimization of Multi-Type fault current limiters based on genetic algorithm

Jin, Guofeng; Tan, Jie; Liu, Lingling; Chuan, Wang; Yuan, Tao

doi:10.1016/j.gloei.2021.11.006

Cited by 1 publication

(1 citation statement)

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“…Additionally, the economic model incorporates cost and net present value as measures to evaluate the costs. In [9], two objectives are examined, both of which are measured using the same dimensional unit. Specifically, the objectives under consideration are the total investment cost of FCLs and the CB loss associated with the surpassed current capacity.…”

Section: Introductionmentioning

confidence: 99%

Optimal overcurrent relay coordination: Balancing costs, time performance and generator placement in fault current limiter optimization

Mohamedshareef,

Abapour,

Hosseini

et al. 2024

IET Generation Trans & Dist

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The integration of synchronous generators (SG) to the grid will present serious problems in some instances. The increase in fault current level is one of the most crucial issues, which causes miscoordination between directional over current relays (DOCRs), in addition to putting excessive pressure on the circuit breakers. This research uses the Fault Current Limiters (FCL) to restore coordination, without changing the settings of DOCRs, by reducing the level of fault current in the grid. The main goal of this research is to find the optimal size, location, and number of FCLs at the minimum cost and with the least operation time for the relays, using Jellyfish Search Optimisation (JSO) algorithm. This can be achieved through three different approaches. The first one is optimizing the location, number, and impedance size of the FCL by minimising a cost function. The second approach involves optimizing the backup relay operation time. A combination of the two previous approaches is used as the third approach. The outstanding feature of this research is that it considers the optimal location of DG and FCL while optimizing the operation times of DOCRs, which is a new framework.

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Section: Introductionmentioning

confidence: 99%