IMPROVING THE PERFORMANCE OF A DEFICIENT 11 kV DISTRIBUTION NETWORK USING DISTRIBUTED GENERATION

Neville Simon Idiagi, Festus Osazee Agbontaen

Abstract


With the inadequate generation, transmission and distribution capacities of the Nigerian Power System, the need to improve on the power that gets to the consumer via the distribution system cannot be overemphasized. Efforts should be made at ensuring a more robust and efficient distribution network in Nigeria. This study aims at improving the performance of a deficient distribution network using Distributed Generation (DG) units optimally placed and sized on the specific buses in the network. The Okada Community distribution network, located in Ovia North-East Local Government Area in Edo State, Nigeria, was used as a case study. Relevant data collected from Benin Electricity Distribution Company (BEDC) was used to carry out load flow study on the network using Newton-Raphson iteration technique in ETAP 16.0 environment to ascertain the state of the network under base, minimum and maximum loading conditions. DG units were optimally placed in specific buses using loss sensitivity factor and load flow analysis was then repeated on the enhanced network. Results obtained show that the voltage profile of the network improved drastically after it was enhanced, as all the bus voltages were within the acceptable voltage range unlike the condition before enhancement, where none of the bus voltages was within the acceptable range. The total power loading of the system also improved from 4968 kW and 1633 KVAR to 5398.63 kW and 1774.51 KVAR for base loading condition, from 4094 kW and 1345 KVAR to 4372 kW and 1437 KVAR for minimum loading condition and from 5985 kW and 1967 KVAR to 6647.02 kW and 2184.7 KVAR for maximum loading condition

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References


Okafor F.N. (2017); “Improving Electric Power Sector Performance: The Role of the Nigeria Electricity Regulatory Commission”; Nigerian Academy of Engineering 2017 Public Lecture.

Faleye O. O., (2012); “Modelling Demand Uncertainties in Generation-Transmission Expansion planning: A case study of the Nigerian Power System”. Master Thesis, Electrical Power Division, School of Electrical Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden. Pp. 1-5.

Anumaka M. C., (2012); “Analysis of Technical Losses in Electrical Power System (Nigerian 330kv Network as a Case Study)”. International Journal of Research and Reviews in Applied Sciences. Vol. 12(2). Pp. 320-327.

Ajao K.R., Ogunmokun A.A., Nangolo F. and Adebo E.O., (2016); “Electricity transmission losses in Nigerian Power Sector: A Smart Grid Approach”. “ATBU Journal of Science, Technology and Education (JOSTE). ISSN 2277-0011; Vol. 4(3) pp47-63

Amadi H.N, Okafor E.N.C., (2015); The effects of technical and non-technical losses on power outages in Nigeria”. International Journal of Scientific and Engineering Research. Vol. 6(9).

The World Bank. (2009); “Reducing Technical and Non-Technical Losses in the Power Sector”. Background Paper for the World Bank Group Energy Sector Strategy.

Singh D., Singh De and Verma K.S., (2009); "Distributed Generation Planning Strategy with Load Models in Radial Distribution System", International Journal of Computer and

Electrical Engineering, Vol. 1, No. 3, pp. 362-375.

Al-Rubayi R.H. and Alrawi A.M., (2010); "Optimal Size and Location of Distributed Generators

using Intelligent Techniques", Eng. & Tech. Journal, Vol. 28, No. 23, pp. 6623-6633.

Akorede M.F., Hizam H., Aris I. and Ab Kadir M.Z.A., (2010);"A Review of Stratergies for Optimal Placement of Distributed Generation in Power Distribution Systems", Research Journal of Applied Sciences, Vol. 5, No. 2, pp. 137-145.

Reddy S.C., Prasad P.V.N. and Laxini V.N., (2012); “Power Quality Improvement of Distribution System by Optimal Placement of Power Generation of DGs using GA and NN”. European Journal of Scientific Research. ISSN: 1450-216X Vol.69 No.3 (2012), pp 326-336.

Sharma K.M. and Vittal K.P., (2010); "A Heuristic Approach to Distributed Generation Source Allocation for Electrical Power Distribution Systems", Iranian Journal of Electrical & Electronic Engineering, Vol. 6, No. 4, pp. 224-231.

Kotb M.F., Shebl K.M., El Khazendar M. and El Husseiny A., (2010); "Genetic Algorithm for Optimum Siting and Sizing of Distributed Generation", In Proceedings of 14th International Middle East Power Systems Conference, pp. 433-440, Egypt.

Krueasuk W. and Ongsakul W., (2006);"Optimal Placement of Distributed Generation using Particle Swarm Optimization", In Proceedings of Power Engineering Conference in Australasian Universities, Australia.

Biswas S. and Goswami S.K., (2010); "Genetic Algorithm based Optimal Placement of Distributed Generation Reducing Loss and Improving Voltage Sag Performance", Proc. of Int. Conf. on Advances in Electrical & Electronics, pp. 49-51.

Jain N., Singh S.N. and Srivastava S.C., (2010); "Particle Swarm Optimization Based Method for Optimal Siting and Sizing of Multiple Distributed Generators", In Proceedings of 16th National Power Systems Conference, pp. 669-674, Hyderabad.

Ramachandra Murthy K.V.S., Ramalinga Raju M., Govinda Rao G, and Narasimha Rao K., (2010); “Comparison of Loss Sensitivity Factor and Index Vector Method in Determining Optimal Capacitor Locations in Agricultural Distribution”. 16th National Power System Conference. 15th-17th December, 2010.

Agbontaen F.O. (2018); “Loadability Analysis of The Existing and The Proposed 330 kV Nigerian Grid Network”. Ph.D. Thesis, Electrical/Electronic Engineering Department, Faculty of Engineering, University of Benin, Nigeri


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