Particle Swarm Optimization (PSO) based optimum Distributed Generation (DG) location and sizing for Voltage Stability and Loadability Enhancement in Radial Distribution System

S. Ramya(1*), N. B. Rajesh(2), B. Viswanathan(3), B. Karthika Vigneswari(4)

(1) SASTRA University, India
(2) SASTRA University, India
(3) SASTRA University, India
(4) SASTRA University, India
(*) Corresponding author


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


This paper presents a new approach for optimum Distributed Generation
(DG) location and sizing based on voltage stability maximization and minimization of
real power losses. In this paper a new index is proposed which combines both voltage
stability index (VSI) and line voltage stability index (LVSI) for identifying the weakest
bus and branch in a radial distribution network is considered in the fitness function.
Minimization of real power losses is also considered in the fitness function. In this paper
Particle Swarm Optimization (PSO) is used to solve this fitness function. The
effectiveness of the proposed method has been successfully tested on 12-bus, 30-bus, 33-
bus and 69-bus radial distribution networks and the results are found to be in very good
agreement.


Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Distributed Generation (DG); Line Voltage Stability Index (LVSI); Particle Swarm Optimization (PSO); Radial Distribution Networks; Voltage Stability Index (VSI); Weakest Branch and Bus

Full Text:

PDF


References


H. K. Clark, “New challenges : Voltage stability,” IEEE Power Engg Rev, April 1990 pp. 33-37,1990

T. Van Custem: “A method to compute reactive power margins with respect to voltage collapse , IEEE Transactions on Power Systems, No.1,1991.

Ph.D thesis of Dr. C.K. Chanda on “Global voltage stability indicator index , in 2003,BESU

Ackermann T, Anderson G, Soder L, Distributed generation: a definition. Electric Power System Research 2001;57:195-204

Ajjarapu V,Lee B.Bibiliography on voltage stability.IEEE Transactions on Power Systems 1998;13(1):115-25

Jamson GB,Lee LHCC,“Distribution networks reduction for voltage stability analysis and load flow calculations, International Journal of Electrical Power and Energy Systems,1991;13(1):9-13.

Gubina F, Strmcnik B,“A simple approach to voltage stability assessment in radial networks , IEEE Transactions on Power Systems, 1997;12(3):1121-8.

Caisheng W, Nehrir MH, Analytical approaches for optimal placement of distributed generation sources in power systems”,IEEE Transactions on Power Systems 2004;19(4):2068-76.2004.

Acharya N, Mahat P, Mithulananthan, An analytical approach for DG allocation in primary distribution network”, International Journal Of Electrical Power and Energy Systems,vol. 28, no. 10, pp.669-678,2006.

N.K. Roy, H.R. Pota, A. Anwar, A new approach for wind and solar type DG placement in power distribution networks to enhance systems stability”, In: Power engineering and optimization conference (PEDCO) Melaka, Malaysia, 2012. IEEE International; 2012. pp. 296–301.

Aryani, N.K., Syai'in, M., Soeprijanto, A., Made Yulistya Negara, I., Optimal placement and sizing of distributed generation for minimize losses in unbalance radial distribution systems using quantum genetic algorithm, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 157-164.

Mohammedi, R.D., Hellal, A., Arif, S., Mosbah, M., Optimal DG placement and sizing in radial distribution systems using NSGA-II for power loss minimization and voltage stability enhancement, (2013) International Review of Electrical Engineering (IREE), 8 (6), pp. 1806-1814.

Amanifar O and Golshan MEH, Optimal DG allocation and sizing for mitigating voltage sag in distribution systems with respect to economic consideration using particle swarm optimization”, In: Electrical Power Distribution Networks (EPDC),2012.IEEE Conference; 2012. pp.1-8.

Reddy SC, Prasad PVN and Laxmi AJ, Reliability Improvement of distribution system by optimal placement of DGs using PSO and neural network”, In: Computing Electronics and Electrical Technologies (ICCEET), 2012. International Conference; 2012.pp.156-162.

Mohammadi MT, Arab Yar and Faramalzi M, PSO algorithm for sitting and sizing of distributed generation to improve voltage profile and decreasing power losses”, In: Electrical Power

Distribution Networks (EPDC),2012.IEEE Conference; 2012. pp.1-5.

Alonso M, Amaris H, Voltage stability in distribution networks with DG , In: IEEE Power Tech Conference 2009.pp.1-6. Bucharest

Das D,Kothari D.P,Kalam A,“A simple and efficient method for load flow solution of radial distribution networks , International Journal Of Electrical Power and Energy Systems 1995;17(5):335-46.

Chakravorty M, Das D. Voltage stability analysis of radial distribution networks”, International Journal of Electric Power and Energy Systems, 2001;23:129–35.

Sumit Banerjee, Chanda CK, Konar SC, Determination of the weakest branch in a radial distribution network using local voltage stability indicator at the proximity of the voltage collapse point”, International conference on Power Systems, pp. 27-29, December 2009.

J. Kennedy, R. Eberhart. Particle swarm optimization. Neural networks”, In: Proceedings, IEEE international conference on 1995, vol. 4. p. 1942–8.

Das D, Nagi H.S, and Kothari D.P,“Novel method for solving radial distribution networks , IEE Proccedings Conference,1994,(4),pp.291-298.

Eminoglu U, Hocaoglu MH. A new power flow method for radial distribution systems including voltage dependent load models . Electric Power System Research 2005; 76:106–14.

Chandramohan S, Atturulu N, Devi RPK, Venkatesh B. Operating cost minimization of a radial distribution system in a deregulated electricity market through reconfiguration using NSGA method . International Journal of Electric Power and Energy Systems 2010;32:126–32.

Thukaram D, Wijekoon Banda H, Jerome J. A robust three phase power flow algorithm for radial distribution systems . Electric Power System Research 1999;50: 227–36.

M.M. Aman, G.B. Jasmon, A.H.A. Bakar, H. Mokhlis. A new approach for optimum simultaneous multi-DG distributed generation units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm”. Energy xxx (2014) 1-14.

Porkar, S., Poure, P., Abbaspour-Tehrani-fard, A., Saadate, S., Distributed generation planning for losses, voltage profile, line congestion and total system cost improvement, (2009) International Review of Electrical Engineering (IREE), 4 (3), pp. 434-440.

Khanjanzadeh, A., Sedighizadeh, M., Rezazadeh, A., DG allocation using clonal selection algorithm (CSA) to minimize losses and improve voltage security, (2011) International Review on Modelling and Simulations (IREMOS), 4 (1), pp. 214-219.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2019 Praise Worthy Prize