Optimal Placement of Distributed Generation Using Genetic Algorithm Approach

This paper shows the feasibility of using an accurate 3D ultrasonic position estimation system for realtime image guided neurosurgery. Current image guided systems use camera based technology that is space-intensive, have an accuracy of about 2mm, and are prone to occasional failures. The 3D system presented in this paper eliminates the space intensive camera, has an accuracy better than 2mm in the operating range of about 20–40cm, makes the system independent of line-of-sight occlusion problems, and is expected to pave the way for accurate fusion models of MRI and ultrasonography to account for brain shifts during surgery. This paper presents the system formulation, optimal placement of receivers using an innovative genetic algorithm approach, a scheme for automatic installation and calibration, and finally some preliminary experimental results within a laboratory environment.

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Over current relay coordination of modified IEEE test systems with distributed generation using genetic algorithm approach

2016 IEEE 7th Power India International Conference (PIICON) ◽

10.1109/poweri.2016.8077198 ◽

2016 ◽

Cited By ~ 1

Author(s):

Sujo P George ◽

S. Ashok

Keyword(s):

Genetic Algorithm ◽

Distributed Generation ◽

Test Systems ◽

Relay Coordination ◽

Genetic Algorithm Approach

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Optimal placement and sizing of Distributed Generation using Quantum Genetic Algorithm for reducing losses and improving voltage profile

TENCON 2011 - 2011 IEEE Region 10 Conference ◽

10.1109/tencon.2011.6129073 ◽

2011 ◽

Author(s):

Ni Ketut Aryani ◽

Muhammad Abdillah ◽

I Made Yulistya Negara ◽

Adi Soeprijanto

Keyword(s):

Genetic Algorithm ◽

Distributed Generation ◽

Optimal Placement ◽

Voltage Profile ◽

Quantum Genetic Algorithm

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Optimal Placement and Sizing of Fault Current Limiters in Distributed Generation Systems Using a Hybrid Genetic Algorithm

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.976 ◽

2017 ◽

Vol 7 (1) ◽

pp. 1329-1333 ◽

Cited By ~ 1

Author(s):

N. Bayati ◽

S. H. H. Sadeghi ◽

A. Hosseini

Keyword(s):

Genetic Algorithm ◽

Distributed Generation ◽

Short Circuit ◽

Hybrid Genetic Algorithm ◽

Operation Time ◽

Optimal Placement ◽

Fault Current ◽

Relay Coordination ◽

Before And After ◽

Fault Current Limiters

Distributed Generation (DG) connection in a power system tends to increase the short circuit level in the entire system which, in turn, could eliminate the protection coordination between the existing relays. Fault Current Limiters (FCLs) are often used to reduce the short-circuit level of the network to a desirable level, provided that they are dully placed and appropriately sized. In this paper, a method is proposed for optimal placement of FCLs and optimal determination of their impedance values by which the relay operation time, the number and size of the FCL are minimized while maintaining the relay coordination before and after DG connection. The proposed method adopts the removal of low-impact FCLs and uses a hybrid Genetic Algorithm (GA) optimization scheme to determine the optimal placement of FCLs and the values of their impedances. The suitability of the proposed method is demonstrated by examining the results of relay coordination in a typical DG network before and after DG connection.

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