Arya, Sabha Raj ; Singh, Bhim (2013) Kurtosis driven variable learning adaptive filter for suppression of power quality problems In: 2013 Annual IEEEIndia Conference (INDICON), 13-15 Dec. 2013, Mumbai, India.
Full text not available from this repository.
Official URL: http://ieeexplore.ieee.org/document/6725960/
Related URL: http://dx.doi.org/10.1109/INDCON.2013.6725960
Abstract
This paper proposes a kurtosis driven variable learning adaptive filter for mitigation of power quality problems in the distribution system. It is used as a control algorithm for a VSC (Voltage Source Converter) based DSTATCOM (Distribution Static Compensator) with self sustaining dc bus. It is tested for the compensation of reactive power, neutral current, harmonics and balancing of linear and nonlinear loads. It is employed for extraction of active and reactive power components of load currents which are major components in estimation of reference supply currents. In this algorithm, variable learning rate is achieved without any supervision. The DSTATCOM system is modeled in MATLAB/simulink software. Performance of proposed control algorithm of DSTATCOM is analyzed under steady state and dynamic conditions with satisfactory response.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronics Engineers. |
| Keywords: | ZVR; DSTATCOM; Kurtosis; Absolute Value; Variable Learning; Supervision |
| ID Code: | 110310 |
| Deposited On: | 04 Aug 2017 12:08 |
| Last Modified: | 04 Aug 2017 12:08 |
Repository Staff Only: item control page
