Optimum Cost of Generation for Maximum Loadability Limit of Power System using Multi-Aagent based Particle Swarm Optimisation (MAPSO)

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Published Mar 31, 2009
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Volume 5, Issue 1, March 2009

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A. Shunmugalatha
Associate Professor/EEE, K.L.N College of Engineering, Pottapalayam - 630611
S. Mary Raja Slochanal
Prof. and HOD/EEE, Thiagarajar College of Engineering, Madurai - 625 015

Abstract

To estimate voltage stability, Maximum Loadability Limit (MLL) is one approach. MLL is the margin between the operating point of the system and the maximum loading point. The optimum cost of generation for MLL of power system can be formulated as an optimisation problem, which consists of two steps namely, computing MLL and the optimum cost of generation for MLL. This paper utilises the newly developed Evolutionary Multi-agent Based Particle Swarm Optimization (MAPSO) in solving this optimisation problem. Details of the implementation of the proposed method to modified IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system are presented. Simulation results show that the proposed approach converges to a better solution much faster, which proves the loadability and applicability of the proposed method.

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How to Cite
Shunmugalatha, A., & Mary Raja Slochanal, S. (2009). Optimum Cost of Generation for Maximum Loadability Limit of Power System using Multi-Aagent based Particle Swarm Optimisation (MAPSO). Power Research - A Journal of CPRI, 57–65. Retrieved from https://cprijournal.in/index.php/pr/article/view/962

References

  1. V Ajjarappu and C Christy, "The Continuation Power Flow: A Tool for Steady State Voltage Stability Analysis", IEEE Trans. On Power Systems, Vol. 7, No. 1, pp. 416-423, February 1992.
  2. G D Irisarri, X Wang, J Tong and S Mokhtari, "Maximum Loadability of Power Systems Using Interior Point Non-linear Optimisation Method", IEEE Transactions on Power Systems, Vol. 12, No. 1, pp. 162-172, February 1997.
  3. H D Chiang and R Jean-Jumeau, "A More Efficient Formulation for Computation of the Maximum Loading Points in Electric Power Systems", IEEE Transactions on Power Systems, Vol. 10, No. 2, pp. 635646, May, 1995.
  4. H Sato, "Computation of Power System Loadability Limits", IEEE Transactions on Power Systems, Vol. 4, No. 2, pp. 17071711, May 2002.
  5. M A Abido, "Optimal Power Flow using Particle Swarm Optimisation", Electrical Power and Energy Systems, Vol. 24, pp. 563-571, 2002.
  6. Matthew Settles, "An Introduction to Particle Swarm Optimisation", University of Idaho, Moscow, pp. 1-8, November 2005.
  7. Agmad A EL-Dib, Hosam K M Youssef, M M EL-Metwally and Z Osman, "Maximum Loadability of Power Systems using Hybrid Particle Swarm Optimisation", Electric Power System Research, Vol. 76, pp. 485-492, 2006.
  8. Mike Wooldridge "Multi-agent System: A Modern Approach to Artificial Intelligence", MIT Press, Cambridge, (2001).
  9. Zhao B, Guo C X and CAO Y J, "A Multiagent Based Particle Swarm Optimisation Approach for Optimal Reactive Power Dispatch", IEEE Transactions on Power Systems, Vol. 20, No. 2, pp. 1070-1078, May 2005.
  10. Zwe-Lee Gaing, "Particle Swarm Optimisation to Solving the Economic Dispatch Considering the Generator Constraints", IEEE Transactions on Power Systems, Vol. 18, No. 3, pp. 1187-1195, August, 2003.
  11. Zimmerman R and Gan D, "MATPOWER: A Matlab Power System Simulation Package", Ithaca, Cornell Univ. Press, NY, 1997.