Identify the Impact of Distributed Resources on Congestion Management

International Journal of Communication and Media Science

© 2017 by SSRG - IJCMS Journal

Volume 4 Issue 2

Year of Publication : 2017

Authors : B.Vahini and P.Sunita

10.14445/2349641X/IJCMS-V4I4P101

How to Cite?

B.Vahini and P.Sunita, "Identify the Impact of Distributed Resources on Congestion Management," SSRG International Journal of Communication and Media Science, vol. 4,  no. 2, pp. 8-15, 2017. Crossref, https://doi.org/10.14445/2349641X/IJCMS-V4I4P101

Abstract:

In the electrical systems, as load never be constant it varies from time to time. Apart from generation, transmission and distribution plays very important role. Congestion management is one of the effective methods in power systems. From the point of reducing congestion or overloading, distributed generators (DG) should be placed at strategic locations in order to exploit maximum benefits out of them. This paper provides particle swarm optimization (PSO) technique through which distributed generators are placed with an objective function of improving voltage stability. These DG units are connected in parallel with the utility grid and they are placed depending upon the availability of resources. These DG units can have impact on the practices in distribution systems such as voltage stability, reliability, voltage profile, power quality and protection. For this proposed approach is simulated in MATLAB environment by testing on IEEE33-bus and 69-bus distribution systems.

Keywords:

 DG (distributed generator), PSO (particle swarm optimization, objective function, voltage stability, power quality, voltage profile.

References:

[1] R.D. Christie , B.F. Wollenberg, and I. Wangesteen , “Transmission management inthederegulatedenvironment,”,proc.IEEE,vol.88,no.2,pp.170-195,Feb. 2000. 
[2] M.Sriramulu,”Optimal placing and Sizing of DG in a Distribution System for voltagestabilityimprovement,”proc.ICEEOT in 2016. 
[3] C.A.canizares,H.chen,andW.Rosehart,”pricing system security in electrical markets”,in proc.Bulk Power Systems DynamicsControlV,Onomichi,Japan,Aug.2001.
[4] D.Xu and A.A.Girgis,”Optimal load shedding strategy in power systems with distributed generation,”in proc.IEEE powerEng.Soc.WinterMeeting,Columbus,OH,Jan.2001,pp.788-793.
[5] N.Jenkins, R.Allan, P.Crossely,D.kirschen,and G.Strbac,Embedded Generation :IEE, U.K.,2000.
[6] T.Ackermann, G.Anderson, and L.soder,”Electricity market regulations and their impact on distributed generation,”in proc.Int.Conf.Electric Utility Deregulation Restructuring Power Technologies,London,U.K.,Apr.2000,pp.608-613. [7] G.Joos, B. T.Ooi, D.McGillis, F.D. Galiana, and R. Marceau,”The potential of distributed generation to provide ancillary services,”in proc.IEEE PowerEng. Soc. Summer Meeting, Jul.2000,pp.1762-1767. 
[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 , Mithulananthan,” An analytical approach for DG allocation in primary distribution network ,” International journal of Electric power and Energy Systems,vol.28,no.10,pp.669-678,2006.
[9] Gozel T and Hocaoglu MH,”An analytical method for the sizing and siting of distributed generators in radial systems,” Electric Power Systems and Research, vol.79,no.6,pp.912-918,2009.
[10] Aman MM, Jasmon GB,Mokhils H, Bakar AHA, “Optimal placement and sizing of DG based on a new power stabilityindexand line losses,”International Journal of Electric Power and Energy Systems,2012.pp.156-162. 
[11] M.A.Abido,”Optimal power flow using particle swarm optimization,”Int.J.Elect.Power Energy Syst., vol.24,no.7,pp.563-571,oct.2002.
[12] J.kennedy and R.Eberhart,”Particle swarm optimization,” in proc.IEEE Int.Conf.Neural Networks, Perth, Australia,1995,pp.1942-1948.
[13] J.B.Park,K.S.Lee,J.R. Shin, and K.Y.Lee,”A particle swarm optimization for economic load dispatch with non smooth cost functions,”IEEE Trans.Power Syst.,vol.20,no.1,pp.34-2,Feb.2005.
[14] Z.L.Gaing, ”Particle Swarm Optimization to solvingtheeconomicdispatchconsideringthegeneratorconstraints,”IEEETrans.PowerSyst.,vol.18,no.3,pp.1187-1195,Aug.2003. 
[15] T.O.Ting, M.V.C.Rao,and C.K.Loo,”A novel approach for unit commitment problem via an effective hybrid particle swarm optimization,”IEEE Trans.Power Syst.,vol.21,no.1,pp.411-418,Feb.2006.
[16] Z.X. Chen , L.Z.Zhang, and J.Shu,”Congestion management based on particle swarm optimization,”in proc.7th Int.Power Enginnering Conf.,2005,vol.2,pp.1019-1023.
[17] Das D, Nagi H.S, and Kothari D.P,”Novel method for solving radial distribution networks,IEE proceedings Conference,1994,(4),pp.291-298. 
[18] Emnigolu U, Hocaogolu MH,”A new power flow method for radial distribution systems including voltage dependent load models,in proc.Electric Power System Research 2005,pp.106-114.
[19] chandramohan S,Atturulu N, Devi RPK, Vekatesh B,”Operating cost minimization of radial distribution system in deregulated electricity market through reconfiguration using NSGA method,”International Journal of Electrical Power and Energy Systems2010,pp.126-132.
[20] Thukuram D, Wijekoon Banda H, Jerome J.”A robust three phase power flow algorithm for radial distribution systems,”Electric Power System Research 1999, pp.227-236.