Location of PMU’s considering the optimal switching criteria for transmission lines
DOI:
https://doi.org/10.37431/conectividad.v5i3.153Keywords:
Distribution, Optimization, Phasor measurement unit, Local optimum, Angle, VoltageAbstract
In real-time power system operation, the issue is to ensure the observability required for accurate state estimation. Several optimization algorithms found in the scientific literature play a key role in the placement of measurement devices, such as synchrophasor meters (PMU’s), which measure the magnitude and angle of voltage or current. However, the installation of PMU’s at each bus or node can generate significant high costs. Therefore, in the research, we introduce an optimization framework that guarantees a minimum redundancy of n-1 during contingencies, while keeping costs within reasonable limits. Our proposal takes into account
the optimal switching of transmission lines while maintaining observability. Therefore, three main formulations are proposed: one that focuses on the placement of PMUs without taking into account the zero injection nodes (ZIB’s), another that incorporates them and a third one that aims at maximizing the observability the overall results in terms of participation are 21.43% and 28.57%, respectively.
References
Carrión, D., & González, J. W. (2018). Optimal PMU Location in Electrical Power Systems Under N-1 Contingency. 2018 International Conference on Information Systems and Computer Science (INCISCOS), 165-170. https://doi.org/10.1109/INCISCOS.2018.00031
Dua, D., Dambhare, S., Gajbhiye, R. K., & Soman, S. A. (2008). Optimal multistage scheduling of PMU placement: An ILP approach. In IEEE Transactions on Power Delivery (Vol. 23, Issue 4, pp. 1812-1820). https://doi.org/10.1109/TPWRD.2008.919046
Huang, L., Sun, Y., Xu, J., Gao, W., Zhang, J., & Wu, Z. (2014). Optimal PMU placement considering controlled islanding of power system. IEEE Transactions on Power Systems, 29(2), 742-755. https://doi.org/10.1109/TPWRS.2013.2285578
Jiang, Q., Li, X., Wang, B., & Wang, H. (2012). PMU-Based Fault Location Using Voltage Measurements in Large Transmission Networks. IEEE Transactions on Power Delivery, 27(3), 1644-1652. https://doi.org/10.1109/TPWRD.2012.2199525
Jin, Z., Hou, Y., Yu, Y., & Ding, L. (2022). Optimal PMU Placement in the Presence of Conventional Measurements. International Transactions on Electrical Energy Systems, 2022, 1-11. https://doi.org/10.1155/2022/8078010
Madani, V., Parashar, M., Giri, J., Durbha, S., Rahmatian, F., Day, D., Adamiak, M., & Sheble, G. (2011). PMU placement considerations - A roadmap for optimal PMU placement. 2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011, 1-7. https://doi.org/10.1109/PSCE.2011.5772601
Mandich, M., Xia, T., & Sun, K. (2020). Optimal PMU Placement Using Stochastic Methods. 1-5. https://doi.org/10.1109/pesgm40551.2019.8973553
Mazlumi, K., & Vahedi, H. (2010). Optimal placement of PMUs in power systems based on bacterial foraging algorithm. Proceedings - 2010 18th Iranian Conference on Electrical Engineering, ICEE 2010, 2, 885-888. https://doi.org/10.1109/IRANIANCEE.2010.5506953
Mohammadi, P., & Mehraeen, S. (2016). PMU optimal placement using sensitivity analysis for power systems fault location. 2015 IEEE Electrical Power and Energy Conference: Smarter Resilient Power Systems, EPEC 2015, 244-249. https://doi.org/10.1109/EPEC.2015.7379957
Nazari-Heris, M., & Mohammadi-Ivatloo, B. (2015). Application of heuristic algorithms to optimal PMU placement in electric power systems: An updated review. In Renewable and Sustainable Energy Reviews (Vol. 50, pp. 214-228). https://doi.org/10.1016/j.rser.2015.04.152
Raj, A., & Venkaiah, C. (2016). Optimal PMU placement by teaching-learning based optimization algorithm. Proceedings of the 2015 39th National Systems Conference, NSC 2015, 1-6. https://doi.org/10.1109/NATSYS.2015.7489080
Rezaei Jegarluei, M., Salehi Dobakhshari, A., Ranjbar, A. M., & Tayebi, A. (2015). A new algorithm for fault location on transmission lines by optimal PMU placement. International Transactions on Electrical Energy Systems, 25(10), 2071-2086. https://doi.org/10.1002/etep.1948
Soroudi, A. (2017). Power system optimization modeling in GAMS. In Power System Optimization Modeling in GAMS. https://doi.org/10.1007/978-3-319-62350-4
Valarezo, O. M., Wang, M., & Memon, R. A. (2018). Incorporating Optimal Transmission Switching in Unit Commitment with a Probabilistic Spinning Reserve Criterion. 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), 1-6. https://doi.org/10.1109/EI2.2018.8582322
Zhao, Y., Goldsmith, A., & Poor, H. V. (2012). On PMU location selection for line outage detection in wide-area transmission networks. 2012 IEEE Power and Energy Society General Meeting, 1-8. https://doi.org/10.1109/PESGM.2012.6344572
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Instituto Superior Tecnológico Universitario Rumiñahui
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The originals published in the electronic edition under the first publication rights of the journal belong to the Instituto Superior Tecnológico Universitario Rumiñahui; therefore, it is necessary to cite the source in any partial or total reproduction. All the contents of the electronic journal are distributed under a Creative Commons Attribution-Noncommercial 4.0 International (CC-BY-NC 4.0) license.
2.png){kind=logo}
