Optimización Multi-objetivo de Potencia Activa y Reactiva para crear la Curva PQ en las Barras del SEP

Diego Arias

doi:10.37116/revistaenergia.v17.n1.2020.389

Multi-objective Optimization of the Active and Reactive Power to PQ curve of the Power System Bus

Optimización Multi-objetivo de Potencia Activa y Reactiva para crear la Curva PQ en las Barras del SEP

Published 2020-07-30

https://doi.org/10.37116/revistaenergia.v17.n1.2020.389

Open | Download

PDF (Spanish) FLIP XML (Spanish) HTML (Spanish)

Issue

Vol. 17 No. 1 (2020): Revista Técnica "energía", Edición No. 17, ISSUE I

Section

SISTEMAS ELÉCTRICOS DE POTENCIA

How to Cite

Multi-objective Optimization of the Active and Reactive Power to PQ curve of the Power System Bus. (2020). Revista Técnica "energía", 17(1), PP. 11-17. https://doi.org/10.37116/revistaenergia.v17.n1.2020.389

DOI

https://doi.org/10.37116/revistaenergia.v17.n1.2020.389

Dimensions

PlumX

How to Cite

Multi-objective Optimization of the Active and Reactive Power to PQ curve of the Power System Bus. (2020). Revista Técnica "energía", 17(1), PP. 11-17. https://doi.org/10.37116/revistaenergia.v17.n1.2020.389

Download Citation

license

Diego Arias

Perfil Google Scholar

https://orcid.org/0000-0001-5655-4449

Show authors biography

Diego Arias

Nació en Riobamba, Ecuador. Se graduó como Ingeniero en Electromecánica en la Escuela Politécnica del Ejército, Ecuador en el año 2006, obtuvo un Diplomado en redes digitales industriales en la Escuela Politécnica del Ejército, Ecuador en el año 2008. Fue acreedor a la beca de la Agencia de Cooperación Internacional de Chile AGCI para sus estudios de posgrado.

Obtuvo el título de Magister en Ciencias de la Ingeniería mención Ing. Eléctrica en la Universidad de Chile, Santiago de Chile, Agosto 2012. Titulado con distinción máxima.

Su tema de investigación para optar el grado en el magister fue: “Índice de Detección de Problemas de Estabilidad de Tensión en base a WAMS”, el cual reposa en las Publicaciones IEEE Transactions.

Tiene 15 años de experiencia en diseño de sistemas eléctricos industriales, Sistemas Eléctricos de Potencia, Sistemas de distribución de energía eléctrica, sistemas eléctricos en plantas petroleras e industriales, Regulación del Sector Eléctrico. Trabajó como Líder Eléctrico e Ing. Senior en la empresa Cardno-Caminosca en el diseño de industrias y plantas petroleras.

Dispone de 5 años de experiencia docente en ingeniería eléctrica, dictando cátedras de: Diseño Eléctrico, Alta Tensión, Máquinas Eléctricas, Protecciones Eléctricas, Gestión Empresarial y Energía Renovable. Ha dictado cursos en Ecuador en áreas de la ingeniería eléctrica, principalmente en: Diseño de Sistema de Puesta a Tierra, Mantenimiento de Transformadores de Potencia, Protecciones Eléctricas, Energía Renovable.

Su campo de interés y especialización está orientado a la estabilidad de tensión de SEP, Smartgrid, WAMS, Optimización de Sistemas Eléctricos de Potencia, Despacho Económico, Regulación Eléctrica, Diseño Eléctrico, Vehículos eléctricos, Casas inteligentes-Domótica, Energía Renovable, Celdas de Combustible Reversibles, Sistemas Solares de Calentamiento de Agua Residencial y Operación de Sistemas Eléctricos de Potencia.

En la actualidad es Profesional a tiempo completo en la Agencia de Regulación y Control de Electricidad - ARCONEL en Quito-Ecuador; Docente-Investigador ocasional en el programa de Maestría de Energía Renovable en UNITEC, San Pedro Sula, Honduras, Gerente Propietario de COENCO y Asesor Técnico en RioSolar Smart Energy.

Most read articles by the same author(s)

Diego Arias, Patricia Gavela, Jonathan Riofrio, State-of-the-Art: Incentives and Strategies for Penetration of Renewable Energy , Revista Técnica "energía": Vol. 18 No. 2 (2022): Revista Técnica "energía", Edición No. 18, ISSUE II
Diego Arias, Patricia Gavela, Walter Intriago, Auctions for Distributed Energy Resource for Electric Utilities , Revista Técnica "energía": Vol. 18 No. 2 (2022): Revista Técnica "energía", Edición No. 18, ISSUE II

PQ curve

Bus chargeability curve

multi-objective optimization

active and reactive power margin

Pareto Front

In this work, a problem of multiobjective optimization of active and reactive power in the bars of the system is proposed, which considers the operating limits, the generation capacity, the reactive power reserves, the active power capacity, the transmission restrictions, and the voltage limits of the electric power system (SEP).

The proposed multi-objective optimization problem is based on a combination of the objective function1: reactive power margin and the objective function 2: active power, in the bar subject to analysis of the SEP margin. From the multiobjective problem the Pareto Border is obtained, which represents the PQ curve (projection of the PV and QV curve on the plane) of the bar under analysis. The optimization problem model is applied to a test system for its validation and analysis of results. In this way, a reliable measure is provided to evaluate the voltage stability and the security of the system in electrical networks considering the maximum operating limits of the SEP.

Article visits 1582 | PDF visits 1018

Downloads

Download data is not yet available.

[1] P. A. Ruiz and P. W. Sauer, “Reactive power reserve issues,” in 2006 38th Annual North American Power Symposium, NAPS-2006 Proceedings, 2006, pp. 439–445.
[2] V. Ajjarapu, P. L. Lau, and S. Battula, “An Optimal Reactive Power Planning Strategy Against Voltage Collapse,” IEEE Trans. Power Syst., vol. 9, no. 2, pp. 906–917, 1994.
[3] H. Barot and K. Bhattacharya, “Optimal Reactive Power Planning and Compensation Effects on Transmission Loss Components,” in Power Engineering Society General Meeting. IEEE, 2007, pp. 1–7.
[4] T. Van Cutsem, “A Method to compute Reactive Power Margins with respect to Voltage Collapse,” IEEE Trans. Power Syst., vol. 6, no. 1, pp. 145–156, 1991.
[5] Q. Liu, J. Liu, J. Shi, and Y. Huang, “A New Method to Compute Reactive Power Margin,” in IEEE International Conference on Industrial Technology. ICIT 2008., 2008, pp. 0–5.
[6] X. He, X. Pang, D. R. Zhu, and C. X. Liu, “Multi-objective reactive power optimization based on chaos particle swarm optimization algorithm,” in Proceedings - 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2013, 2013, no. 1, pp. 1014–1017.
[7] Z. Li, M. M. Begovic, and X. Duan, “Reactive power planning using a two-level optimizer based on multi-objective algorithms,” in 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP ’09, 2009, pp. 1–6.
[8] J. Vallejos, U. Fernández, and R. Ramos, “Multiobjective reactive power compensation applied to the Paraguayan power system,” in 2006 IEEE PES Transmission and Distribution Conference and Exposition: Latin America, TDC’06, 2006, vol. 00, pp. 1–6.
[9] N. Krami, M. A. El-Sharkawi, and M. Akherraz, “Pareto multiobjective optimization technique for reactive power planning,” in IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES, 2008, pp. 1–6.
[10] H. Singh and L. Srivastava, “Recurrent multi-objective differential evolution approach for reactive power management,” IET Gener. Transm. Distrib., vol. 10, no. 1, pp. 192–204, 2016.
[11] P. Dong, L. Xu, Y. Lin, and M. Liu, “Multi-Objective Coordinated Control of Reactive Compensation Devices Among Multiple Substations,” IEEE Trans. Power Syst., vol. 33, no. 3, pp. 2395–2403, 2018.
[12] M. Mohsen and H. Siahkali, “Multi-objective optimization of reactive power dispatch in power systems via SPMGSO algorithm,” in IEEE Proceedings 2017 Smart Grid Conference, SGC 2017, 2018, vol. 2018-Janua, pp. 1–9.
[13] J. Wu, N. Li, L. He, B. Yin, J. Guo, and Y. Liu, “Research on multi-objective reactive power optimization based on modified particle swarm optimization algorithm,” in 2010 Chinese Control and Decision Conference, CCDC 2010, 2010, pp. 477–480.
[14] W. Zheng et al., “Multi-objective reactive power and voltage optimization for distribution network,” in 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, 2019, no. 201806150000008, pp. 2216–2221.
[15] B. Song, Y. Cao, X. Zhang, Y. Wang, and N. Li, “Multi-objective reactive power optimization in power system based on improved PSO-OSA algorithm,” in 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2019, vol. 3, pp. 1514–1519.
[16] M. Zhang and Y. Li, “Multi-Objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification-Based Multi-Objective Evolutionary Algorithm and Integrated Decision Making,” IEEE Access, vol. 8, pp. 38198–38209, 2020.
[17] M. Belazzoug and M. Boudour, “FACTS placement multiobjective optimization for reactive power system compensation,” in 2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10, 2010, pp. 1–6.
[18] C. Levis, C. T. Phan-Tan, and M. Hill, “Multi-Objective Optimal Active and Reactive Power Dispatch for Centrally Controlled Distributed PV Systems,” in Proceedings - 2018 53rd International Universities Power Engineering Conference, UPEC 2018, 2018, pp. 1–6.
[19] D. Arias, L. Vargas, and C. Rahmann, “WAMS-Based Voltage Stability Indicator Considering Real Time Operation,” IEEE Lat. Am. Trans., vol. 13, no. 5, pp. 1421–1428, 2015.
[20] D. Chávez, S. Espinosa, and D. Arias, “Reactive Power Optimization of the Electric System based on Minimization of Losses,” IEEE Lat. Am. Trans., vol. 14, no. 11, pp. 4540–4546, 2016.
[21] C. Cutsem, Thierry Van; Vournas, Voltage Stability of Electric Power Systems, Publishers. 1998.
[22] T. Van Cutsem, “A method to compute reactive power margins with respect to voltage collapse,” IEEE Trans. Power Syst., vol. 6, no. 1, pp. 145–156, 1991.