Abstract
This paper presents a wavelet transform based alienation technique for the protection of a radial 5 bus distribution system integrated with four wind type doubly fed Induction generators (DFIG).This technique is used to detect islanding condition and faults, classification of faults and their discrimination. Islanding is simulated at point of common coupling (PCC) and faults are simulated at each DG bus of the network. Daubechies wavelet transform has been used to decompose the current signals to get approximate coefficients. The Alienation coefficients of these approximate decompositions are termed as islanding and fault indexes. These indexes have been compared with predetermined threshold to detect islanding and faults. The same threshold value is utilized to discriminate transients associated with islanding and fault. Alienation coefficients at each bus over a half cycle window clearly detect both islanding and fault. Testing of the proposed algorithm has been carried out for various angles of incidence. Hence, the proposed algorithm is more effective and successful for finding the islanding condition as well as faults in distribution system with distributed generation.
Highlights
Demand for electrical power is tremendously growing globally
This system of generation is called dispersed generation or distributed generation. Resources such as wind, Photo Voltaic (PV), combined heat and power (CHP) and diesel are used in distributed generation
This paper presents to design and develop a technique to detect islanding condition in order to eliminate complex issues associated with islanding such as safety of end users and equipment and classify faults to provide the protection system which can operate the relays in quarter cycle to isolate the faulty feeder with minimum time even in the presence of wind power generation
Summary
Demand for electrical power is tremendously growing globally. the generation of electrical power could not meet the growing demand. This paper presents to design and develop a technique to detect islanding condition in order to eliminate complex issues associated with islanding such as safety of end users and equipment and classify faults to provide the protection system which can operate the relays in quarter cycle to isolate the faulty feeder with minimum time even in the presence of wind power generation. The proposed work is based on the wavelet transform alienation coefficients for the detection of islanding condition, faults and their classification in the power system with the wind form based distributed generation. This technique narrates the signal in timefrequency domain, which will help in the extrication of vital information of the signal even under transient conditions.
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