The Proper Location and Sizing of Multiple Distributed Generators for Maximizing Voltage Stability Using PSO

Energy technologies and their efficient use plays a vital role in socio-economic development of any country. In the recent years, the restructuring of electricity market evolves some major improvements in the technologies of energy production and thus, it has paved the way for increasing the applications of Distributed Generation (DG) with renewable energy sources. In this research, the optimal placement and sizing of multiple DGs are achieved by a novel indicator United Bus and Line Voltage Firmness Factor (UBL_VFF). The objectives of this work are the minimization of system losses and maximization of voltage stability and they are achieved by identifying the weakest voltage bus due to the weakest link in the system. Particle Swarm Optimization (PSO) is used for solving this optimization problem. The effectiveness of this proposed approach is tested in 33 and 69 bus radial distribution test systems. The results of this proposed method is compared with the results reported in the contemporary literature. ...

[1]  R. M. Sasiraja,et al.  A Heuristic Approach for Optimal Location and Sizing of Multiple DGs in Radial Distribution System , 2014 .

[2]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

[3]  M.H. Moradi,et al.  A combination of Genetic Algorithm and Particle Swarm Optimization for optimal DG location and sizing in distribution systems , 2010, 2010 Conference Proceedings IPEC.

[4]  T. Gozel,et al.  Optimal placement and sizing of distributed generation on radial feeder with different static load models , 2005, 2005 International Conference on Future Power Systems.

[5]  K. Muthulakshmi,et al.  Relieving Transmission Congestion by Optimal Rescheduling of Generators Using PSO , 2014 .

[6]  M. R. AlRashidi,et al.  Optimal planning of multiple distributed generation sources in distribution networks: A new approach , 2011 .

[7]  Magdy M. A. Salama,et al.  Distributed generation technologies, definitions and benefits , 2004 .

[8]  S. Dutta,et al.  Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization , 2008, IEEE Transactions on Power Systems.

[9]  Vijay Vittal,et al.  Increasing thermal rating by risk analysis , 1999 .

[10]  RAKESH RANJAN,et al.  Simple and Efficient Computer Algorithm to Solve Radial Distribution Networks , 2003 .

[11]  A. Akbarimajd,et al.  A Method for Placement of DG Units in Distribution Networks , 2008, IEEE Transactions on Power Delivery.

[12]  Ricardo B. Prada,et al.  Voltage stability and thermal limit: constraints on the maximum loading of electrical energy distribution feeders , 1998 .

[13]  Nikos D. Hatziargyriou,et al.  Optimal Distributed Generation Placement in Power Distribution Networks : Models , Methods , and Future Research , 2013 .

[14]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[15]  M. M. Aman,et al.  Optimal placement and sizing of a DG based on a new power stability index and line losses , 2012 .

[16]  Debapriya Das,et al.  Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method , 2008 .

[17]  Nadarajah Mithulananthan,et al.  AN ANALYTICAL APPROACH FOR DG ALLOCATION IN PRIMARY DISTRIBUTION NETWORK , 2006 .

[18]  Caisheng Wang,et al.  Analytical approaches for optimal placement of distributed generation sources in power systems , 2004 .

[19]  Haozhong Cheng,et al.  Distribution network planning method considering distributed generation for peak cutting , 2010 .

[20]  Tuba Gozel,et al.  An analytical method for the sizing and siting of distributed generators in radial systems , 2009 .