Optimal Location of Small Hydro Power Plants (SHPPS) at Distribution System by Using Voltage Sensitivity Index
International Journal of Energy and Power Engineering
Volume 5, Issue 2-1, March 2016, Pages: 13-17
Received: Sep. 18, 2015;
Accepted: Sep. 21, 2015;
Published: Oct. 12, 2015
Views 4666 Downloads 176
Alaa Abdulwahhab Azeez Baker, Department of Electrical Power and Machines Engineering, Engineering College, Mosul, Iraq
Maamon Phadhil Yasen Al-Kababji, Department of Electrical Power and Machines Engineering, Engineering College, Mosul, Iraq
Sameer Saadoon Al-Juboori, Department of Electronics & Control Engineering, Kirkuk Technical College, Kirkuk, Iraq
This work presents a method to enhance the distribution network for both test and real systems by adding small hydro power plants (SHPPS). The voltage sensitivity index (VSI) was used to find the optimal locations to add small hydro power plants (SHPPS). The study has been applied to the system at unity and 0.9 lagging power factor. The test system is a standard IEEE 33-nodes radial distribution network. Maltab program was used to simulate the systems. The simulation results when connecting the (SHPPS) to the test system showed the improvement in voltage profile of the test system nodes in addition to power losses reduction. The reductions of the real and reactive power losses percentage reached (36%) and (14%) at unity power factor respectively, while at (0.9) lagging power factor, the reduction of the real and reactive power losses percentage were found (53%) and (56%) respectively.
Alaa Abdulwahhab Azeez Baker,
Maamon Phadhil Yasen Al-Kababji,
Sameer Saadoon Al-Juboori,
Optimal Location of Small Hydro Power Plants (SHPPS) at Distribution System by Using Voltage Sensitivity Index, International Journal of Energy and Power Engineering. Special Issue: Modeling and Simulation of Electric Power Systems and Smart Grids.
Vol. 5, No. 2-1,
2016, pp. 13-17.
Sreerenjini K, Thomas P C, Anju G Pillai, V I Cherian, Tibin Joseph5 and Sasidharan Sreedharan. Optimal Power Flow Analysis of Kerala Grid System with Distributed Resources. IEEE. 2012 978-1-4673-2636-0/12.
V. Selve, Jiji Johnny," Optimal Allocation of Distributed Generation to Minimize Loss in Distribution System", International Journal of Application or Innovation in Engineering & Management (IJAIEM), vol 4, no 3, pp 1-8, 2013.
Lettas, N.; Dagoumas, A.; Papagiannis, G.; Dokopoulos, P. A Case Study of the Impacts of Small Hydro Power Plants on the Power Distribution Network with the Combination of On Load Tap Changers, Power Tech, 2005 IEEE Russia, DOI: 10.1109/PTC.2005.4524627.
T. Niknam and B. Ba. Firouzi. A practical algorithm for distribution state estimation including renewable energy sources. Renewable Energy 34.2009. 2309–2316.S. Panda, “Multi-objective evolutionary algorithm for SSSC-based controller design”, Electr. Power Syst. Res., vol.79, no. 6, pp. 937-944, 2009.
Sa. Mishra, S. K. Singal and D. K. Khatod. Optimal installation of small hydropower plant—A review. Renewable and Sustainable Energy Reviews 15, 2011. 3862–3869.Mohammed Y. Suliman and S. M. Bashi," Instantaneous Active and Reactive Power Measuring in Three Phase Power System", 3rd International Scientific Conference of F.T.E,Najaf,Iraq,20-21 Feb 2013, Page(s): 926-936.
P. Karimyan, G. B. Gharehpetian, M. Abedi and A. Gavili. Long term scheduling for optimal allocation and sizing of DG unit considering load variations and DG type. Electrical Power and Energy Systems 54. 2014. 277–287
. Sameer S. Mustafa, Mohammed H. Yasen and Hussein H. Abdullah. Evaluation of Electric Energy Losses in Kirkuk Distribution Electric System Area. Iraq J. Electrical and Electronic Engineering. Vol.7 No.2, 201.
. M. A. Kashem, D. T. Le, M. Negnevitsky, and G. Ledwich, Distributed Generation for Minimization of Power Losses in Distribution Systems. IEEE. 2006.1-4244-0493.
S. P. Singh, G. S. Raju, G. K. Rao, M. Afsari. A heuristic method for feeder reconFigureuration and service restoration in distribution networks.Electrical Power and Energy Systems 31 (2009) 309–314
S. Chandramohan N. Atturulu, R. P. Kumudini Devi, B. Venkatesh. Operating cost minimization of a radial distribution system in a deregulated electricity market through recon Figureuration using NSGA method. Electrical Power and Energy Systems 32 (2010) 126–132.
Leonardo W, de Oliveira, S. Carneiro Jr., Edimar J. de Oliveira, J. L. R. Pereira, Ivo C. Silva Jr., Jeferson S. Costa. Optimal recon Figureuration and capacitor allocation in radial distribution systems for energy losses minimization. Electrical Power and Energy Systems. 32, 2010. 840–848.
C. Lueken, Pedro M.S. Carvalho and Jay Apt. Distribution grid reconFigureuration reduces power losses and helps integrate renewables. Energy Policy 48, 2012, 260–273.
K. Nadhir, D. Chabane and T. Bouktir. Minimization of active power losses in radial distribution system by optimal location and size of distributed general using the firefy algorithm. Mediamira Science publisher.2013. Vol 54. No.1.40-45.
Tanuj M. and Y. S. Shishodia. Reduction in Power Losses in Distribution Lines using Bionic Random Search Plant Growth Simulation Algorithm International Journal of Recent Research and Review, Vol. III, September 2012, ISSN 2277 – 8322
V. V. S. N. Murthy and A. Kumar, Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches. Electrical Power and Energy Systems 53, 2013. 450–467.
Qian Kejun, Zhou Chengke, allan Malcolm, Y uan Yue. Effect of load models on assessment of energy losses in distribution generation planning. Electr Power Res 2011;2:1243–50
Qian Kejun, Zhou Chengke, allan Malcolm, Y uan Yue. Effect of load models onassessment of energy losses in distribution generation planning. Electr Power Res 2011; 2:1243–50.
Gopiya Naik S., D. K. Khatod and M. P. Sharma. Optimal Allocation of Distributed Generation in Distribution System for Loss Reduction. (2012) IPCSIT vol. 28.
Satish K., B. B. R. Sai, B. Tyagi, V. Kumar. Optimal placement of distributed generation in distribution networks. International Journal of Engineering, Science and Technology Vol. 3, No. 3, 2011, pp. 47-55.