Congestion Management in a Restructured Power System Using Solar Photovoltaics

  • Authors

    • Subramaniyan V
    • Gomathi V
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.20825
  • Deregulated Power System, Dispersed Generating Unit, Line Relief Sensitivity, Optimal Power Flow
  • The modern power grid is one of the most complex engineering machines in existence. There is a continuous transformation in the grid conditions that necessitate variations in the electricity production. Energy is a remarkable donor in environmental change, representing around 60 percent of the aggregate worldwide greenhouse gas outflow. Lessening the carbon force of energy, the share of non-conventional energy sources in the worldwide vitality blend is relied upon to expand supportability. So renewable energy is one of the most capable results for taking care of expanding energy demand. This paper proposed a method to lessen the congestion in the deregulated environment. The congestion in the transmission lines is identified by optimal power flow (Newton Raphson) method.  Congestion in the transmission lines is lessened by connecting a dispersed generating unit called as Solar Photovoltaic at PQ (load) bus.  A way to decide the ideal position of a Dispersed Generating unit has been suggested based on the Line Relief Sensitivity (LRS) based attitude.  The effectiveness of methodology has been validated using standard IEEE 30 bus system. 

     

     

  • References

    1. [1] Guguloth Ramesh, Sunil Kumar T K,“Congestion Management in a Deregulated Power System with Micro Gridâ€, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, vol:7, no:11 (2013), pp:1460-1464.

      [2] Uma Velayutham, Lakshmi Ponnusamy, Gomathi Venugopal, “Minimization of cost and congestion management using interline power flow controllerâ€, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronics Engineering, vol:35, no:5 (2016), pp: 1495-1512.

      [3] Mohammad Amin Hozouri, Ali Abbaspour, Mahmad Fotuhi-Firuzabad, Moein Moein-Aghtie, “On the Use of Pumped Storage for Wind Energy Maximization in Transmission-Constrained Power Systemsâ€, IEEE Transactions on Power Systems, vol:30, no:2 (2015), pp:1017-1025.

      [4] Tak Niimura, Satoshi Niioka, Ryuichi Yokoyama,“Transmission load relief solutions for congestion managementâ€, Electric Power Systems Research, vol:67 (2003) pp:73-78

      [5] V.Gomathi, V.Uma, A.Vijayalakshmi, R.Manimegalai,“Congestion Management in a Deregulated Power Systems with Renewable Energy Sourcesâ€, International Journal of Applied Engineering Research, vol:10, no:66 (2015), pp: 414-419.

      [6] D.Suchitra, R.Jegatheesan, T.J Deepika,“Optimal Design of Hybrid Power Generation System and its integration in the distribution networkâ€, Electric Power and Energy Systems, vol:82 (2016), pp:136-149.

      [7] Alireza Askarzadeh,“Distribution generation by photovoltaic and diesel generator systems: Energy management and size optimization by a new approach for a stand-alone applicationâ€, Energy, vol:122,(2017) pp:542-551.

      [8] Huiling Li, Chao Zheng, Sizhuo Lv, Shuanbao Liu, Chao Huo, “Research on Optimal Capacity of Wind Power Based on Coordination with Pumped Storage Powerâ€, IEEE PES Asia-Pacific Power and Energy Conference - Xi'an – China, (2016) pp:1214-1218.

      [9] Swati Gupta, Akshay Saxena, Bhanu Pratap Soni,“Optimal Placement Strategy for Distributed Generators based on Radial Basis Function Neural Network in Distribution Networkâ€, 3rd International Conference on Recent Trends in Computing, Procedia Computer Science, (2015) pp:249 – 257.

      [10] A.Parizad, A.Khazali, M.Kalantar, “Optimal Placement of Distributed Generation with Sensitivity Factors Considering Voltage Stability and Losses Indicesâ€, IEEE Proceedings of ICEE (2010).

      [11] M. Afkousi-Paqaleh, A. Abbaspour-Tehrani fard, M. Rashidinejad, and K. Y. Lee,“Optimal Placement and Sizing of Distributed Resources for Congestion Management Considering Cost/Benefit Analysisâ€, IEEE (2010).

      [12] D. Bao Nguyen, Jacqueline M. A. Scherpen, and Frits Bliek, “Distributed Optimal Control of Smart Electricity Grids with Congestion Managementâ€, IEEE Transactions on Automation Science and Engineering, (2017) pp:1-11.

      [13] Saurabh Ratra, Pradeep Singh and Rajive Tiwari, “Soft Computing Techniques for Congestion Management in Power Systemsâ€, 1st IEEE International Conference on Power Electronics. Intelligent Control and Energy Systems (2016)

      [14] Kanwardeep Singh, Vinod Kumar Yadav, Narayana Prasad Padhy & Jaydev Sharma,“Congestion Management Considering Optimal Placement of Distributed Generator in Deregulated Power System Networksâ€, Electric Power Components and Systems, vol: 42:1 (2014), pp:13-22

      [15] IEEE: Institute of Electrical and Electronics Engineering

      [16] Central Electricity Authority of India, www.cea.nic.in

      [17] Marcelo Gradella Villalva, Jonas Rafael Gazoli, and Ernesto Ruppert Filho, 2009 “Comprehensive Approach to Modeling and Simulation of Photovoltaic Arraysâ€, IEEE Transaction on Power Electronics, Vol 24, No 5 (2009). pp: 1198-1208

  • Downloads

  • How to Cite

    V, S., & V, G. (2018). Congestion Management in a Restructured Power System Using Solar Photovoltaics. International Journal of Engineering & Technology, 7(4.10), 144-147. https://doi.org/10.14419/ijet.v7i4.10.20825