Total views : 1226
A Fault Location Method in Distribution Networks Including DG
Finding and designing new methods for determining type and exact location of faults in power system has been a major subject for power system protection. One of the main capabilities that can improve the efficiency of new protection relays in distribution systems is exact fault locating. In this paper, a new approach for determining the exact fault type and location in distribution systems including distributed generation using MLP neural networks is presented. In the suggested method, after determining the fault type, by normalizing the fault current of the main source, the corresponding trained neural network has been activated and the exact location of occurred fault has been derived. The presented method has been implemented on a sample distribution network, simulated by DIgSILENT Power Factory 13.2, and its performance has been tested. The simulation results show high performance and accuracy of the method and substantiate that it can be used in modern heuristic protection schemes in distribution systems.
Distributed Generation, Distribution System, Fault Location, Neural Network
- Barker PP and de Mello RW (2000) Determining the impact of distributed generation on power systems: part1-radial distribution systems. IEEE Trans. Power Delivery. 15, 486–493.
- Dugan RC and McDermott TE (2000) Operating conflicts for distributed generation interconnected with Utility distribution systems. IEEE Indus. Appl. Magaz. pp: 19-25.
- Ehsan M and Soroudi A (2007) An introduction to heuristic search algorithms for optimization of engineering problems. Intl. Conf. Genetic & Evolutionary Methods, USA.
- Farzanehrafat SAM, Javadian, SMT Bathaee and MR Haghifam (2008) Maintaining the recloser-fuse coordination in distribution systems in presence of DG by determining DG’s Size. 9th IET Intl. conf. Develop. Power Sys. Protec. pp: 124-129.
- IEEE Guide for monitoring, information exchange, and control of distributed resources interconnected with Electric power systems (2007) IEEE Std. 1547.3.
- IEEE Standard conformance test procedures for equipment interconnecting distributed resources with Electric power systems (2005) IEEE Std. 1547.1.
- IEEE Standard for interconnecting distributed resources with electric power systems (2003) IEEE Std. 1547.
- Javadian SAM and Haghifam MR (2008) Designing a new protection system for distribution networks including DG. 9th IET Intl. conf. Develop. Power Sys. Protec. pp: 675-680.
- Javadian SAM and Haghifam MR (2008) Implementation of a new protection scheme on a real distribution system in presence of DG. Power Con. & IEEE Power India Conf. pp: 1-7.
- Javadian SAM and Haghifam MR (2008) Protection of distribution networks in presence of DG using distribution automation system capabilities. IEEE Power Engg. Soc. General Meeting. pp: 1-6.
- Jiang JA, Liu YH, Liu CW, Yang JZ and Too TM (1999) An adaptive fault locator system for transmission lines. IEEE PES summer meeting. 2, 930–936.
- Meshal A, Al-shaher A, Manar M, Sabry B, Ahmad S, and Saleh S (2003) Fault location in multi-ring distribution network using artificial neural network. Electric Power Sys. Res. 64, 87–92.
- Navid Khalesi and Seyed Ali Mohammad Javadian (2011) Distribution system reliability with considering variation in DG and load consumption. Indian J.Sci.Technol. 4 (10), 1285-1289. Domain site: http://www.indjst.org.
- Rezaei N and MR Haghifam (2008) Protection scheme for a distribution system with distributed generation using neural networks. Intl. J. Electric. Power & Energy Sys. 30(4), 235-241.
- Seyed Ali Mohammad Javadian and Maryam Massaeli (2011) Environmental benefits of DGs and comparing their generation costs with thermal power plants considering production pollution on human health. Indian J.Sci.Technol. 4 (10), 1290-1294. Domain site: http://www.indjst.org.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.