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Transmission congestion management with integration of wind farm: a possible solution methodology for deregulated power market

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Abstract

Congestion management (CM) work is a challenging task for researchers working in the field of power transmission sector. In this paper, an appreciable effort has been made to eliminate the line congestion by integrating wind farm in the system. To reschedule the conventional generators for achieving best optimal solution, moth flame optimization (MFO) algorithm is implemented here. Generator sensitivity factors and bus sensitivity factors are respectively used to reschedule the generators and to optimally locate the wind farm in deregulated power system. To test the performance and check the effectiveness of the proposed CM approach, modified IEEE 30 bus test system and modified 39 bus New England test system are used here. Further after obtained details results, the competitive performance of MFO algorithm is compared and verified with others optimization algorithms like artificial bee colony, firefly algorithm and ant lion optimizer algorithms in terms of rescheduling amount, rescheduling cost and active power losses.

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Authors and Affiliations

  1. Electrical Engineering Department, Mizoram University, Aizawl, 796004, India

    Sadhan Gope

  2. Electrical Engineering Department, National Institute of Technology Silchar, Silchar, 788010, India

    A. K. Goswami & P. K. Tiwari

Authors
  1. Sadhan Gope
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  2. A. K. Goswami
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  3. P. K. Tiwari
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Correspondence to Sadhan Gope.

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Appendix

Appendix

See Table 12.

Table 12 Algorithm parameters
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Gope, S., Goswami, A.K. & Tiwari, P.K. Transmission congestion management with integration of wind farm: a possible solution methodology for deregulated power market. Int J Syst Assur Eng Manag 11, 287–296 (2020). https://doi.org/10.1007/s13198-019-00856-z

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