Congestion Management by Optimal Generation Rescheduling Using Sine Cosine Algorithm

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Under deregulated market environment, technically efficient and cost-effective operation of the power system becomes imperative. Congestion in transmission lines is one among key facet dealt by network operator as it greatly affects the operation of power system. This paper intends to manage power network congestion by means of rescheduling real power generation. Sensitivity analysis has been carried out to select the generators for rescheduling real power generation. In order to improve the economic efficiency of the electrical power market, an attempt is made to minimize the congestion cost. Sine Cosine Algorithm (SCA) has been employed to solve the considered problem. The viability of the considered method has been investigated by implementing it on the modified IEEE 57-bus test system. To confirm the efficacy of employed algorithm obtained results are compared with those available in the literature. The results illustrate that considered approach offers improved results and effectively minimizes congestion cost.

     

     

     



  • Keywords


    Congestion Management; Generation Rescheduling; Optimal Power Flow; Sine Cosine Algorithm.

  • References


      [1] A. Ott, "PJM: a full-service ISO market evolution (Panel on evolution of electricity market structures)," 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings, Canada, 1999, vol.2, pp. 746-748.

      [2] A. Kumar, S.C. Srivastava, S.N. Singh, “Congestion management in competitive power market: a bibliographical survey”, Electric Power Systems Research, vol. 76, 2005, pp. 153–164https://doi.org/10.1016/j.epsr.2005.05.001.

      [3] A. Pillay, S.P. Karthikeyan, D. Kothari, “Congestion management in power systems – a review”, International Journal Electrical Power Energy System, vol. 70, 2015, pp.83–90.https://doi.org/10.1016/j.ijepes.2015.01.022.

      [4] A Jokic´ , M Lazar , van den Bosch PPJ, “Real-time control of power systems using nodal prices”,International Journal Electrical Power & Energy Systems, vol. 31, 2009, pp. 522–30.https://doi.org/10.1016/j.ijepes.2009.03.034.

      [5] J. D. Finney, H. A. Othman, W. L. Rutz, "Evaluating transmission congestion constraints in system planning," in IEEE Transactions on Power Systems, vol. 12, 1997, pp. 1143-1150.https://doi.org/10.1109/59.630454.

      [6] L. Chen, H. Suzuki, T. Wachi, Y. Shimura, "Decomposition of nodal price for electric power system," 2000 Power Engineering Society Summer Meeting, Seattle, WA, vol. 4, 2000, pp. 2156-2161.

      [7] K. Seeley, J. Lawarree, Chen-Ching Liu, "Coupling market clearing with congestion management to prevent strategic bidding," 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings, Canada, vol.2,1999, pp. 688-691.

      [8] J. Bialek, "Topological generation and load distribution factors for supplement charge allocation in transmission open access," in IEEE Transactions on Power Systems, vol. 12, 1997, pp. 1185-1193.https://doi.org/10.1109/59.630460.

      [9] S.N. Singh, A.K. David, “Optimal location of FACTS devices for congestion management”, Electric Power Systems Research, vol. 58, 2001, pp.71–79.https://doi.org/10.1016/S0378-7796(01)00087-6.

      [10] S. Chang et al., "Phase shifter optimization in security constrained scheduling applications," IEEE Power Engineering Society Summer Meeting,, Chicago, IL, USA, vol.3, 2002, pp. 1278-1283. https://doi.org/10.1109/PESS.2002.1043564.

      [11] R. Sagwal, Ashwani Kumar, "Congestion Management Solution for Hybrid System Considering Voltage Stability Margin", Procedia Technology, vol. 25, 2016, pp.726-734.https://doi.org/10.1016/j.protcy.2016.08.166.

      [12] B. Chong B, X. P. Zhang, K. R. Godfrey, L. Yao, M. Bazargan, "Optimal location of unified power flow controller for congestion management", European Transactions on Electrical Power, vol. 20, 2010, pp.- 600-610.

      [13] S. Hajforoosh, S. M. H. Nabavi, M. A. S. Masoum, "Coordinated aggregated-based particle swarm optimisation algorithm for congestion management in restructured power market by placement and sizing of unified power flow controller," in IET Science, Measurement & Technology, vol. 6, 2012, pp. 267-278.https://doi.org/10.1049/iet-smt.2011.0143.

      [14] A.Yousefi, T. T. Nguyen, H. Zareipour, O. P. Malik, "Congestion management using demand response and FACTS devices", International Journal of Electrical Power & Energy Systems, vol.37, 2012, pp.78-85.https://doi.org/10.1016/j.ijepes.2011.12.008.

      [15] T. Amraee, A. M. Ranjbar, B. Mozafari, N. Sadati, "An enhanced under-voltage load-shedding scheme to provide voltage stability",Electric Power Systems Research, vol. 77, 2007, pp. 1038-1046.https://doi.org/10.1016/j.epsr.2006.09.005.

      [16] S. Balaraman , N. Kamaraj,“Transmission congestion management using particle swarm optimization”, J. Electrical Systems, vol. 7, 2011, pp. 54–70.

      [17] S. Verma, V. Mukherjee, "Optimal real power rescheduling of generators for congestion management using a novel ant lion optimiser," in IET Generation, Transmission & Distribution, vol. 10, 2016, pp. 2548-2561.https://doi.org/10.1049/iet-gtd.2015.1555.

      [18] S.Verma, V.Mukherjee, "Firefly algorithm for congestion management in deregulated environment." Engineering science and technology,an international journal, vol. 19, 2016, pp. 1254-1265.

      [19] B.K. Talukdar, A. K. Sinha, S. Mukhopadhyay, and A. Bose, "A computationally simple method for cost-efficient generation rescheduling and load shedding for congestion management", International Journal of Electrical Power & Energy Systems, vol.27, 2005, pp 379-388.https://doi.org/10.1016/j.ijepes.2005.02.003.

      [20] S. S. Reddy, "Multi-Objective Based Congestion Management Using Generation Rescheduling and Load Shedding," in IEEE Transactions on Power Systems, vol. 32, 2017, pp. 852-863.

      [21] J. JeslinDrusilaNesamalar, P. Venkatesh, S. Charles Raja. "Energy management by generator rescheduling in congestive deregulated power system", Applied energy, vol.171, 2016, pp. 357-371.https://doi.org/10.1016/j.apenergy.2016.03.029.

      [22] A.K. Singh, S. K. Parida, "Congestion management with distributed generation and its impact on electricity market”, International Journal of Electrical Power & Energy Systems, 2013, pp. 39-47.https://doi.org/10.1016/j.ijepes.2012.11.025.

      [23] S. Mirjalili, “SCA: a sine cosine algorithm for solving optimization problems”, Knowledge-Based Systems, vol. 96, 2016, pp.120-133.https://doi.org/10.1016/j.knosys.2015.12.022.


 

View

Download

Article ID: 24815
 
DOI: 10.14419/ijet.v7i4.24815




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.