Optimal placement of PV-distributed generation units in radial distribution system based on sensitivity approaches

Power utilities are facing major challenges as the demand of power system is growing exponentially. Therefore, the main attention is focused on Distributed Generation (DG) as they are providing many opportunities for the existing distribution system and becoming one of the key drivers of dealing with its issues. Voltage profile improvement, system loss reduction, reliability enhancement and electricity providing during peak load are the main challenges facing distribution systems. Thereby, the integration of renewable DGs such as Photovoltaic panels can be a good alternative to deal with these challenges. However, DGs integration benefits depend greatly on their placement and control strategy in the network. This work aims at selecting the most sensitive buses of the distribution network for DG units' allocation by means of three different sensitivity methods based on system losses reduction, voltage stability and voltage profile improvement. Advantages of integrating distributed generation are examined using voltage collapse index (L-index), loss sensitivity factor (LSF) and voltage performance index (VPI). These methods were executed on a typical IEEE-39 bus test distribution system using MATLAB tool box PSAT and the results were comparatively analyzed and discussed.

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

[2]  J.L. Bala,et al.  Optimal Capacitor AUocation Using a Distribution Analyzer Recorder , 1997, IEEE Power Engineering Review.

[3]  D. Karlsson,et al.  Voltage and Reactive Power Control in Systems With Synchronous Machine-Based Distributed Generation , 2008, IEEE Transactions on Power Delivery.

[4]  D. Thukaram,et al.  Voltage Stability Improvement: Case Studies of Indian Power Networks. , 1998 .

[5]  R. Romero,et al.  Optimal Capacitor Placement in Radial Distribution Networks , 2001, IEEE Power Engineering Review.

[6]  S. C. Choube,et al.  Distributed generation planning using differential evolution accounting voltage stability consideration , 2012 .

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

[8]  K. Parthasarathy,et al.  Optimal reactive power dispatch algorithm for voltage stability improvement , 1996 .

[9]  M. Negnevitsky,et al.  Distributed generation for minimization of power losses in distribution systems , 2006, 2006 IEEE Power Engineering Society General Meeting.

[10]  Debapriya Das,et al.  Voltage Stability Analysis of Radial Distribution Networks , 2001 .

[11]  Anne Kuefer,et al.  Voltage Stability Of Electric Power Systems , 2016 .

[12]  Allen. J. Wood and Bruce F. Wollenberg.  ‘Power Generation, Operation and Control’, John Wiley & Sons, Inc., 2003. , 2015 .

[13]  Venkataramana Ajjarapu,et al.  A comprehensive approach for preventive and corrective control to mitigate voltage collapse , 2000 .

[14]  Abdullah Nor Rul Hasma,et al.  Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO , 2013 .

[15]  R. Jegatheesan,et al.  Optimal Location and Sizing of DG for Congestion Management in Deregulated Power Systems , 2012, SEMCCO.

[16]  K. P. Vijayakumar.  Congestion management in deregulated power systems , 2013 .

[17]  P. Kessel,et al.  Estimating the Voltage Stability of a Power System , 1986, IEEE Power Engineering Review.

[18]  Udgir Shraddha,et al.  Optimal Placement and Sizing of SVC for Voltage Security Enhancement , 2011 .

[19]  K. Ravindra,et al.  Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation , 2013, IEEE Transactions on Power Systems.

[20]  Ruben Romero,et al.  Optimal Capacitor Placement in Radial Distribution Networks , 2001 .

[21]  K. Tomsovic,et al.  Placement of dispersed generation systems for reduced losses , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[22]  D. Singh,et al.  Multiobjective Optimization for DG Planning With Load Models , 2009, IEEE Transactions on Power Systems.

[23]  Mahmoud-Reza Haghifam,et al.  DG allocation with application of dynamic programming for loss reduction and reliability improvement , 2011 .

[24]  C. L. Smallwood,et al.  Distributed generation in autonomous and nonautonomous micro grids , 2002, 2002 Rural Electric Power Conference. Papers Presented at the 46th Annual Conference (Cat. No. 02CH37360).

[25]  Adel Khedher,et al.  Performance evaluation of Box-Jenkins and linear-regressions methods versus the study-period's variations: Tunisian grid case , 2015, 2015 IEEE 12th International Multi-Conference on Systems, Signals & Devices (SSD15).

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

[27]  F. Milano,et al.  An open source power system analysis toolbox , 2005, 2006 IEEE Power Engineering Society General Meeting.

[28]  E.F. El-Saadany,et al.  Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization , 2010, IEEE Transactions on Power Systems.

[29]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[30]  Venkataramana Ajjarapu,et al.  Computational Techniques For Voltage Stability Assessment And Control , 2006 .

[31]  Zahra Moravej,et al.  A novel approach based on cuckoo search for DG allocation in distribution network , 2013 .

[32]  M. M. Aman,et al.  Comparative Study on Optimum DG Placement for Distribution Network , 2013 .