OPTIMAL POWER FLOW IN DISTRICT 110 KV ELECTRICAL NETWORKS
DOI:
https://doi.org/10.30888/2663-5712.2020-04-01-010Keywords:
optimal power flow, electrical power system 110 kV, optimization, distributed generation, losses, active power.Abstract
An algorithm for finding the optimal power flow in the electrical network is proposed. The calculation and analysis of a closed 110 kV electrical network was performed. A modified algorithm based on neural networks is presented to find the optimal power fMetrics
References
J. Carpentier, “Optimal power flows,” International Journal of Electrical Power & Energy Systems, vol. 1, no. 1, pp. 3–15, 1979.
H.W. Dommel and W. F. Tinney, “Optimal Power Flow Solutions,” IEEE Transactions on Power Apparatus and Systems, vol. 87, no. 10, pp. 1866–1876, 1968.
J.A. Momoh, R. J. Koessler, M. S. Bond et al., “Challenges to optimal power flow,” IEEE Transactions on Power Systems, vol. 12, no. 1, pp. 444–447, 1997.
J. Peschon, D.W. Bree, and L.P. Hajdu, Optimal Power-Flow Solutions for Power System Planning, Proceedings of the IEEE, 6 (1972), pp. 64–70.
D.I. Sun, B. Ashley, B. Brewer, A. Hughes, and W. F. Tinney, “Optimal power flow by Newton approach,” IEEE Transactions on Power Apparatus and Systems, vol. 103, no. 10, pp. 2864–2880, 1984.
B. Stott and E. Hobson, Power System Security Control Calculation Using Linear Program ming Parts I and II, IEEE Transactions on Power Apparatus and Systems, PAS-97 (1978), pp. 1713–1731.
J.A. Momoh, R. Adapa, M. El-Hawary, A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches, IEEE Trans. Power Syst. 14 (1999) 96–104.
K. Ponnambalam, V. Quintana, A. Vannelli, in: A fast algorithm for power system optimization problems using an interior point method, Power Industry Computer Application Conference, 1991. Conference Proceedings, 1991, pp. 393–400.
A. G. Bakirtzis, P. N. Biskas, C. E. Zoumas, and V. Petridis, “Optimal power flow by enhanced genetic algorithm,” IEEE Transactions on Power Systems, vol. 17, no. 2, pp. 229–236, 2002.
Goldberg, D.: Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Reading, MA (1989)
Qiu, J., Chen, R.B., Wang, W., Wong, W.K.: Using animal instincts to design efficient biomedical studies via particle swarm optimization. Swarm Evol. Comput. 18, 1-10 (2014)
Azmi, A., & Harold, W. L. (2013). A new optimization algorithm for combinatorial problems. International Journal of Advanced Research in Artificial Intelligence (IJARAI), 2, 5–10.
O. Alsac and B. Stott, Optimal load flow with steady-state security, IEEE Transactions on Power Apparatus and Systems, PAS-93 (1974), pp. 745–751.
DA SILVA, IVAN NUNES. HERNANE SPATTI, DANILO. ANDRADE FLAUZINO, ROGERIO. (2018). Artificial Neural Networks: a practical course. Place of publication not identified: SPRINGER.
Hopfield, J. J. (n.d.). Hopfield network. Retrieved from http://www.scholarpedia.org/article/Hopfield_network
Hopfield Network - Javatpoint. (n.d.). Retrieved from https://www.javatpoint.com/artificial-neural-network-hopfield-network
Розрахунок і регулювання усталених режимів роботи електричних мереж енергосистем: Навч. посібник / В.М. Сулейманов. – К.: НМК ВО, 1992. – 216с.
ГОСТ 721-77. Системы электроснабжения, сети, источники, преобразователи и приемники электрической энергии. Номинальные напряжения свыше 1000 В.
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