Paper Titles
Fault Analysis of 10kV Distribution System Composed by a Battery Swap Station
p.852
Geometric Parameterization Technique Based Continuation Power Flow and its Applications in AC/DC Hybrid Power System
p.857
ILC-Based Internal Model Control of Superheater Steam Temperature
p.864
Impact Analysis of Effective Inertia Competition on Power System Inter-Area Damping Characteristics
p.870
Impacts of Distributed Generators on Voltage Sag Analysis
p.877
Mid-Term Stability Assessment of Jiangxi Power Grid
p.882
New Eigenvalue Method for Power System Stability Analysis
p.888
New Method Based on the Optimal Decomposition Scale for Daily Load Forecasting in Power System
p.892
Novel Scheme of Fast Protection and Control for Feeder Automation
p.899

Impacts of Distributed Generators on Voltage Sag Analysis

Article Preview

Abstract:

This paper presents impacts of distributed generators (DGs) such as synchronous-based DG and inverter-based DG on voltage sag analysis in distribution systems. Voltage sag analysis is assessed through area of vulnerability (AOV), number of sags frequency (NSF) and voltage sag index (SARFI). Single line-to-ground and three-phase faults are investigated. Size and location of DG are carried out by using Particle Swarm Optimization algorithm (PSO) in order to minimize losses and number of sag frequency. Roy Billinton Test System (RBTS) Bus 2 is used for simulation cases. Results show that the distribution system with DG installed improves voltage sag performance compared with the system without DG installed.

You might also be interested in these eBooks
Thermal, Power and Electrical Engineering View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 732-733)

Pages:

877-881

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.732-733.877

Citation:

Cite this paper

Online since:

August 2013

Authors:

Jenjira Boonnamol*, Thavatchai Tayjasanant

Keywords:

Area of Vulnerability (AOV), Distributed Generator (DG), Inverter-Based Dg, Method of Fault Positions, Monte-Carlo Simulation, Synchronous-Based DG, Voltage Sag Frequency, Voltage Sag Index

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] C. T. Hsu and C. J. Fu, Dispersed Generation Systems Impact on the Voltage Sags in Distribution Systems, International Conference on Power System Technology PowerCon 2006., pp.1-7, 22-26 Oct. (2006).

DOI: 10.1109/icpst.2006.321960

Google Scholar

[2] IEEE Recommended Practice for Monitoring Electric Power Quality, IEEE Std. 1159-2009 (Revision of IEEE Std 1159-1995), (2009).

Google Scholar

[3] H. Sadadat, POWER SYSTEM ANALYSIS, 2nd ed., New York McGraw-Hill, (2002).

Google Scholar

[4] Z. X. HAN, GENERALIZED METHOD OF ANALYSIS OF SIMULTANEOUS FAULTS IN ELECTRIC POWER SYSTEM, IEEE Transactions on Power Apparatus and Systems., vol. PAS-101, pp.3933-3942, October 10, (1982).

DOI: 10.1109/tpas.1982.317045

Google Scholar

[5] M. Brucoli, T. C. Green, and J. D. F. McDonald, Modelling and Analysis of Fault Behaviour of Inverter Microgrids to Aid Future Fault Detection, IEEE International System of Systems Engineering., p.1–6, April 16-18, (2007).

DOI: 10.1109/sysose.2007.4304253

Google Scholar

[6] D. V. Tu and S. Chaitusaney, Impacts of inverter-based distributed generation control modes on short-circuit currents in distribution systems, IEEE Conference on Industrial Electronics and Applications (ICIEA)., pp.1645-1650, July 18-20, (2012).

DOI: 10.1109/iciea.2012.6360989

Google Scholar

[7] S. Surisunthon and T. Tayjasanant Impacts of distributed generation's locations, sizes, operation modes and transformer connections on voltage sag assessment, IEEE Region 10 Conference TENCON 2011., pp.893-897, Nov. 21-24, (2011).

DOI: 10.1109/tencon.2011.6129239

Google Scholar

[8] (2012) The Bisection Method. [Online]. Available http: /www. sosmath. com.

Google Scholar

[9] B. Sookananta, W. Kuanprab, and S. Hanak, Determination of the optimal location and sizing of Distributed Generation using Particle Swarm Optimization, International Conference on ECTI-CON., pp.818-822, May 19-21, (2010).

Google Scholar

[10] G. Olguin, M. Aedo, M. Arias, and A. Ortiz , A Monte Carlo Simulation Approach to the Method of Fault Positions for Stochastic Assessment of Voltage Dips (Sags), IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, pp.1-6, (2005).

DOI: 10.1109/tdc.2005.1546794

Google Scholar