Coordinated Voltage Control in Distribution Network with Renewable Energy based Distributed Generation


This paper presentsa voltage control strategy for power distribution systems with interconnected renewable energy based distributed generators (DGs). The control strategy coordinating conventional voltage control devices and reactive power from DG.A mixed-integer nonlinear programming problem was formulated and solved by particle swarm optimization (PSO). The code is written using DigSILENT programming language (DPL) and implemented inside DigSILENT power factory simulation software. All system constraints and operating limits are considered. The optimal power flow based approach can incorporate various uncertainties such as intermittent power characteristics and varying load demand. The proposed method is tested using real distribution network to demonstrate its effectiveness. The merits of the proposed method over the classical local-based control are presented in the simulation results. It is demonstrated that the proposed method is capable of keeping the system voltage within operating limit. Power losses is at the same time is minimized in comparison to the losses using conventional method.

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M. Sarmin, W. Nakawiro, M. Wanik, M. FadzilMohd Siam, Z. Hussien, A. Ibrahim and A. Hussin, "Coordinated Voltage Control in Distribution Network with Renewable Energy based Distributed Generation," Engineering, Vol. 5 No. 1B, 2013, pp. 208-214. doi: 10.4236/eng.2013.51B038.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] T. J. Hammons, J. C. Boyer, S. R. Conners, M. Davies, M. Ellis, M. Fraser, E. A. Holt, and J. Markard, "Renewable energy alternatives for developed countries," IEEE Transactions on Energy Conversion, Vol. 15, No. 4, December 2000, pp. 481-493.
[2] C. Boccaletti, G. Fabbri, J.Marco, and E. Santini, "An Overview on Renewable Energy Technologies for Developing Countries: the case of Guinea Bissau," International Conference on Renewable Energies and Power Quality, Santander, Spain, 2008.
[3] D. N. Nkwetta, M. Smyth, and Vu Van Thong, "Electricity supply, irregularities, and the prospect for solar energy and energy sustainability in Sub-Saharan Africa," Journal of renewable and sustainable energy, Vol. 02, 23 March 2010, pp. 16.
[4] Subiyanto, A. Mohamed, and M. Hannan, "Intelligent maximum power point tracking for PV system using Hop?eld neural network optimized fuzzy logic controller," Energy and Buildings, Vol. 51, 2012, pp. 29-38.
[5] "Renewable Energy Act 2011, Law of Malaysia, Act 725," 2011.
[6] M. Z. C. Wanik, "Simulation and Management of Distributed Generation: Green Energy Integration to Electrical Power System," Lambert Academic Publishing, Saarbrueken, Germany, 2011.
[7] T. Niknam, A. M. Ranjbar, A.R. Shirani, “Impact of Distributed Generation on Volt/Var Control in Distribution Network,” Proceedings of Power Tech Conference of the IEEEPES, Bolongna, 23-26 June 2003, pp. 7.
[8] M. B. Liu, C. A. Canizares and W. Huang, “Reactive Power and Voltage Control in Distribution Systems with Limited Switching Operations”, IEEE Transactions on Power Systems, Vol. 24, No. 2, May 2009, pp. 889-899.
[9] Y.-Y. Hong, K.-L. Pen, “Optimal VAR Planning Considering Intermittent Wind Power using Markov Model and Quantum Evolutionary Algorithm,” IEEE Transactions on Power Delivery, Vol. 25, No. 4, Oct 2010, pp. 2987-2996.
[10] Y.-Y. Hong and Y.-F. Luo, “Optimal VAR Control Considering Wind Farms using Probabilistic Load Flow and Gray-Based Genetic Algorithms”, IEEE Transactions on Power Delivery, Vol. 24, No. 3, July 2009, pp. 1441-1449.
[11] M.E. Baran and I. M. El-Markabi, “A Multi agent based Dispatching Scheme for Distributed Generators for Voltage Support on Distribution Feeders”, IEEE Transactions on Power Systems, Vol. 22, No.1, Feb. 2007, pp. 52-59.
[12] G. W. Kim and K. Y. Lee, “Coordination Control of ULTC Transformer and STATCOM based on an Artificial Neural Network,” IEEE Transactions on Power Systems, Vol. 20, No.2, May 2005, pp. 580-586.
[13] R.-H. Liang and Y.-S. Wang, “Fuzzy-based Reactive Power and Voltage Control in a Distribution System,” IEEE Transactions on Power Delivery, Vol. 18, No. 2, April 2003, pp. 610-618.
[14] D. H. Spatti, I. N. da Silva, W. F. Usida, R. A. Flauzino, “Real-Time Voltage Regulation in Power Distribution using Fuzzy Control”, IEEE Transactions on Power Delivery, Vol. 25, No. 2, April 2010, pp. 1112-1123.
[15] User Mannual, DiGSilent Power Factory v. 14.1, DigSilent GmbH, Gomaringen, Germany, May 2011.
[16] F. A. Viawan, “Voltage Control and Voltage Stability of Power Distribution Systems in the Presence of Distributed Generation”, PhD Thesis, Chalmers University of Technology, G?teborg, Sweden, 2008.
[17] P. N. Vovos, A. E. Kiprakis, A. R. Wallace and P. Harrison, “Centralized and Distributed Voltage Control: Impact on Distributed Generation Penetration”, IEEE Transactions on Power Systems, Vol. 22, No.1, Feb. 2007, pp. 476-483
[18] J. Kennedy and M. Clerc, "Standard PSO 2006," 2006.
[19] Biruk Tessema and Gary G. Yen, “A Self Adaptive Penalty Function Based Algorithm for Constrained Optimization,” IEEE Congress on Evolutionary Computation, Oklahoma State University, Stillwater, 2006, pp 246-253.

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