Distribution Network Reconfiguration and D-STATCOM Allocation using Variational Technique

Dr. A. V. Sudhakara Reddy, Dr. M. Damodar Reddy
COVID Fuzzy Approach; Particle Swarm Optimization; D-STATCOM; Feeder Reconfiguration.
This paper explores feeder reconfiguration alongside distributed static compensator (D-STATCOM) in distribution systems. An efficient method is present to optimize the radial distribution structure by means of reconfiguration along with allocation of distributed static compensator. Network Reconfiguration of distribution system is a momentous way of revising the power flow through the various alternative lines with an objective of minimizing real power loss distribution system. A precise and load flow algorithm is useful and the objective function is formulated to solve the fitness function, which includes D-STATCOM for reactive power compensation to minimize the power losses. Particle swarm optimization is exploited to restructure and recognize the best strap switches for minimization of real power loss in a distribution network. Fuzzy analysis is projected to find the optimal location of D-STATCOM. Variational Technique is used to identify the optimal size of D-STATCOM. This has been tested on IEEE 33-bus system to prove the adequacy of the technique using MATLAB software.
[1] Walmir Freitas, Andre Morelato, Wilsun Xu, Fujio Sato, “Impacts of AC Generators and DSTATCOM Devices on the Dynamic Performance of Distribution Systems” IEEE Transactions on Power Delivery, Vol. 20, No. 2, pp.1493-1501, April 2005.
[2] Bhim Singh, A.Adya, A.P.mittal and J.R.P Gupta “Modeling and Control of DSTATCOM for Three-Phase, Four-Wire Distribution Systems” IEEE, 2005.
[3] M. Damodar Reddy, Prof. V.C.Veera Reddy “A two-stage methodology of optimal capacitor placement for the reconfigured network”, Indian Journal of Engineering & Material Sciences ISSN: 1819-6608, Vol-17, p.p. 105-112, April – 2010.
[4] Rahamat Allah Hooshmand, Hossein Mohkam, “New optimal placement of capacitors and dispersed generators using bacterial foraging oriented by particle swarm optimization algorithm in distribution systems”, Springer, 2011.
[5] M. Damodar Reddy, N.V.Vijay Kumar “Optimal Capacitor Placement for Loss Reduction in Distribution System Using Fuzzy and Harmony Search Algorithm”, ARPN Journal of Engineering and Applied Sciences ISSN: 1819-6608, Vol. 7, No.1 pp. 15-19, January- 2012.
[6] S. P. Gawande, Nilesh A. Kubde, Manish S. Joshi and B.S.Sudame “Reactive Power Compensation of Wind Energy Distribution System using Distribution Static Compensator (DSTATCOM) “, IEEE, 2012.
[7] Sabha Raj Arya, Ambrish Chandra, “Power Factor Correction and Zero Voltage Regulation in Distribution System Using DSTATCOM”, IEEE, 2012.
[8] S M Suhail Hussain, M Subbaramiah, “An Analytical Approach for Optimal Location Of DSTATCOM In Radial Distribution System”, IEEE, pp.1365-1369, 2013.
[9] Attia El-Fergany, A.Y.Abdelaziz “Improved for radial distribution networks using Artificial Bee Colony Algorithm”, Journal of Electrical Engg Technology Vol 9, No. 2, pp.441-451, 2014.
[10] Seyed Abbas Taher, Seyed Ahmadreza Afsari, “Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm”, Electrical Power and Energy Systems 60, pp.34–44, 2014.
[11] Joseph Sanam, Sanjib Ganguly, A. K. Panda, ” Placement of DSTATCOM in Radial Distribution Systems for the Compensation of Reactive Power”, IEEE, 2015.
[12] Atma Ram Gupta, Ashwani Kumar, “Energy savings using D-STATCOM placement in radial distribution System”, Procedia Computer Science 70, pp.558 – 564, 2015.
[13] Hossein Karami, Behrooz Zaker, Behrooz Vahidi & Gevork Babamalek Gharehpetian, “Optimal Multi-objective Number, Locating, and Sizing of Distributed Generations and Distributed Static Compensators Considering Loadability using the Genetic Algorithm” Electric Power Components and Systems, pp.1-11, Oct-2016.

Received : 19 October 2020
Accepted : 21 December 2020
Published : 07 January 2021
DOI: 10.30726/esij/v7.i4.2020.74025

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