Power system restoration using a mixed integer linear programming model

被引：0
作者：
Pardo R.A. [1 ]
López-Lezama J.M. [2 ]
机构：
[1] Expertos en Mercados XM S.A. E.S.P. - Filial de ISA, Calle 12 Sur No. 18-168, Medellín
[2] Departamento de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de Antioquia, Calle 67 No 53-108, Medellín
来源：
Informacion Tecnologica | 2021年 / 31卷 / 06期
关键词：
Mixed integer linear programming; Power systems; Restoration;
D O I：
10.4067/S0718-07642020000600147
中图分类号：
学科分类号：
摘要：
The objective of this research study is to provide an optimization tool for power system restoration after a large-scale blackout. A mixed integer linear programming model is proposed to approach the restoration problem of power systems. To validate the proposed model, two testing systems are used: 1) a four generator didactic system and 2) the IEEE-39 RTS system. The results in both systems show the effectiveness and the robustness of the proposed model. In particular, the results obtained using the IEEE-39 RTS testing system show that the model can be implemented in real applications. Given the nature of the model, it can be concluded that the model guarantees the achievement of a global optimal solution, which indicates the sequence of generation units that must be set online, minimizing restoration time. © 2020 Centro de Informacion Tecnologica. All rights reserved.
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页码：147 / 158
页数：11
相关论文
共 17 条
  • [1] Bretas A.S., Phadke A.G., Artificial Neural Networks in Power System Restoration, IEEE Trans. Power Deliv, 18, 4, pp. 1181-1186, (2003)
  • [2] El-Zonkoly A., Integration of Wind Power for Optimal Power Black-Start Restoration, Turk. J. Elec. Eng. and Comp. Sci, 23, 1, pp. 1853-1866, (2015)
  • [3] Golshani A, Sun W., Coordination of Wind Farm and Pumped-Storage Hydro for a Pumped-Storage Hydro for a Self-Healing Power Grid, IEEE Trans. Sust. Energy, 9, 4, pp. 1910-1920, (2018)
  • [4] Gu X., Zhong H., Optimisation of Network Reconfiguration Based on a Two-Layer Unit-Restarting Framework for Power System Restoration, IET Gener. Transm. Distrib, 6, 7, pp. 693-700, (2012)
  • [5] Hsiao Y., Chien C., Enhancement of Restoration Service in Distribution Systems Using a Combination Fuzzy – GA Method, IEEE Trans. Power Syst, 15, 4, pp. 1394-1400, (2000)
  • [6] Ketabi A., Karimizadeh A., Shahidehpour M., Optimal Generation Units Start-up Sequence During Restoration of Power System Considering Network Reliability Using Bi-Level Optimization, Int. J. Electr. Power Energy Syst, 104, 1, pp. 772-783, (2019)
  • [7] Li C., He J, Zhang P., Xu. Y., A Novel Sectionalizing Method for Power System Parallel Restoration Based on Minimum Spanning Tree, Energies, 10, 7, pp. 948-969, (2017)
  • [8] Liu C.C., Leader P., Development and Evaluation of System Restoration Strategies from a Blackout Development and Evaluation of System, (2009)
  • [9] Liu Y., Fran R., Terzija V., Power System Restoration: a Literature Review from 2006 to 2016, Journal of Modern Power Systems and Clean Energy, 4, 3, pp. 332-341, (2016)
  • [10] Quintero C.M., Lopez-Lezama J.M, Munoz-Galeano N., Técnicas para Aumentar la Seguridad de la Operación en Condiciones de Red Degradada a Través de Modificaciones Topológias en Sistemas de Potencia, Rev Inf. Tecnol, 30, 6, pp. 363-376, (2019)
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