130
Views
0
CrossRef citations to date
0
Altmetric
Electrical & Electronic Engineering

Metaphor-less Rao-3 and artificial neural network with parallel computing-based wheeling pricing in competitive power market

ORCID Icon, &
Article: 2340321 | Received 12 Aug 2023, Accepted 03 Apr 2024, Published online: 03 May 2024

References

  • Ahmed, M., Seraj, R., & Islam, S. M. S. (2020). The k-means algorithm: A comprehensive survey and performance evaluation. Electronics, 9(8), 1295. https://doi.org/10.3390/electronics9081295
  • Aote, S. S., Raghuwanshi, M. M., & Malik, L. (2013). A brief review on particle swarm optimization: Limitations & future directions. International Journal of Computational Science and Engineering. 2(5), 196–200. http://www.ijcse.net/docs/IJCSE13-02-05-017.pdf
  • Bi, T. S., Ni, Y. X., Shen, C. M., Wu, F. F., & Yang, Q. X. (2000). A novel radial basis function neural network for fault section estimation in transmission network. 2000 International Conference on Advances in Power System Control, Operation and Management, APSCOM-00 (Vol 1, pp. 259–263). IET.
  • Bialek, J. (1998). Allocation of transmission supplementary charge to real and reactive loads. IEEE Transactions on Power Systems, 13(3), 749–754. https://doi.org/10.1109/59.708576
  • Canizares, C., Chen, H., Milano, F., & Singh, A. (2004). Transmission congestion management and pricing in simple auction electricity markets. International Journal of Emerging Electric Power Systems, 1(1), 1–12. https://doi.org/10.2202/1553-779X.1000
  • Chawla, G., Sachdev, M., & Gokaraju, R. (2005). Artificial neural network applications for power system protection (pp. 1954–1957). IEEE Xplore.
  • Demuth, H., & Beale, M. (2002). Neural network toolbox user’s guide (pp. 7). The Mathworks, Inc. 7–7.
  • Duan, G., Dong, Z. Y., Bai, W., & Feng Wang, X. (2005). Power flow based monetary flow method for electricity transmission and wheeling pricing. Electric Power Systems Research, 74(2), 293–305. https://doi.org/10.1016/j.epsr.2004.11.004
  • Hagh, T., Mehrdad, K., & Mashhadi, A. (2005). Application of neural networks in power systems; A review. Proceedings of World Academy of Science, Engineering and Technology, 6.
  • Happ, H. H. (1994). Cost of wheeling methodologies. IEEE Transactions on Power Systems, 9(1), 147–156. https://doi.org/10.1109/59.317547
  • Kumar, A., Srivastava, S. C., & Singh, S. N. (2004). A zonal congestion management approach using real and reactive power rescheduling. IEEE Transactions on Power Systems, 19(1), 554–562. https://doi.org/10.1109/TPWRS.2003.821448
  • Kumar, N., Reddy, Y. R. V., Das, D., & Padhy, N. P. (2011). Allocation of transmission charge by using MVA-Mile approaches for restructured Indian power utility. IEEE Power and Energy Society General Meeting (pp. 1–6). IEEE Xplore. https://doi.org/10.1109/PES.2011.6039507
  • MaraggonLima, J. W. (1996). Allocation of transmission fixed charges: An overview. IEEE Transaction on Power Systems, 11(3), 1409–1418.
  • Lee, W. J., Lin, C. H., & Swift, L. D. (2001). Wheeling charge under a deregulated environment. IEEE Transactions on Industry Applications, 37( 1), 178–183. https://doi.org/10.1109/28.903144
  • Pandey, S. N., Tapaswi, S., & Srivastava, L. (2008a). Locational marginal price projection using a novel RBFNN approach in spot power market. 2008 Joint International Conference on Power System Technology and IEEE Power India Conference (pp. 1–7). IEEE Xplore.
  • Pandey, S. N., Tapaswi, S., & Srivastava, L. (2008b). Nodal congestion price estimation in spot power market using artificial neural network. IEE/IET- Generation Transmission and Distribution, 2 (2), 480–490.
  • Pandey, S. N., Tapaswi, S., & Srivastava, L. (2010). Integrated evolutionary neural network approach with distributed computing for congestion management. Applied Soft Computing, 10(1), 251–260. https://doi.org/10.1016/j.asoc.2009.07.008
  • Parallel Computing Toolbox. (2023). www.mathworks.com/products/parallel computing.
  • Sarwar, M., Siddiqui, A. S., Jaffery, Z. A., & Kothari, D. P. (2021). Bid responsive generation rescheduling for congestion management in electricity market. Engineering Reports, 3, 5. https://doi.org/10.1002/eng2.12331
  • Shyamkant Halve, S., Arya, R., & Koshti, A. (2023). Metaphor-less RAO-3 and sine cosine algorithm fo optimal sizing of distributed generations of multiple types in radial distribution system. Electrica, 23(2), 177–191. https://doi.org/10.5152/electrica.2022.22019
  • Su, C. T., & Liaw, J. H. (2001). Power wheeling pricing using power tracing and MVA-KM method. Power Tech Proceedings, 2001 IEEE Porto. IEEE Xplore.
  • Varshney, S., Srivastava, L., & Pandit, M. (2012). ANN based integrated security assessment of power system using parallel computing. International Journal of Electrical Power and Energy Systems, 42, 9–59. https://doi.org/10.1016/j.ijepes.2012.03.016
  • Zaeim-Kohan, F., Razmi, H., & Doagou-Mojarrad, H. (2018). Multi-objective transmission congestion management considering demand response programs and generation rescheduling. Applied Soft Computing, 70, 169–181. https://doi.org/10.1016/j.asoc.2018.05.028