Optimal Power Flow in Electrical Power Systems with Environmental Considerations
Flujo Óptimo de Sistemas Eléctricos de Potencia con Consideraciones Ambientales
How to Cite
Download Citation
Show authors biography
Similar Articles
- Rolando Noroña, Edgar Cajas, Carlos Lozada, Marlon Chamba, Transient Stability Analysis Using the Concept of Inertia and Data Mining , Revista Técnica "energía": Vol. 22 No. 1 (2025): Revista Técnica "energía", Edición No. 22, ISSUE I
- Josue Ortiz, Jefferson Tayupanda, Carlos Quinatoa, Solution to the short-term hydrothermal dispatch problem through nonlinear programming applied to single and multi-node systems , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
- Carlos Lozada, David Panchi, Wilson Sánchez, Andrés Jacho, Linear Regression for the Identification of the Maximum Power Point in Hybrid Microgrids Implemented in HYPERSIM , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
- Wilson Sánchez, Diego Echeverría, Santiago Chamba, Andrés Jacho, Carlos Lozada, Economic Energy Dispatch of the Micro-Grid in the Galapagos Islands Using the Simsee Platform , Revista Técnica "energía": Vol. 21 No. 1 (2024): Revista Técnica "energía", Edición No. 21, ISSUE I
- Jorge Leon, Graciela Colomé, Estefanía Tapia, Identification of Critical Generators in Transient Stability Problems , Revista Técnica "energía": Vol. 21 No. 2 (2025): Revista Técnica "energía", Edición No. 21, ISSUE II
- Edison Novoa, Gabriel Salazar Yépez, Eliana Buitrón, Gabriel Salazar Pérez, Methodological Proposal for Targeting Electric Subsidy "Tarifa De La Dignidad" in Residential Users of the Electric Companies of Ecuador , Revista Técnica "energía": Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
- Andrés Pereira, Roberth Saraguro, Carlos Quinatoa, Evaluation of Active Power Losses in the Electrical System of the Empresa Eléctrica Quito (EEQ) Applying an Optimization Algorithm , Revista Técnica "energía": Vol. 21 No. 1 (2024): Revista Técnica "energía", Edición No. 21, ISSUE I
- Graciela Colomé, Omar Ramos, Diego Echeverría, Identification Methodology of Oscillatory Modes in PMU Measurement Ambient Type Data , Revista Técnica "energía": Vol. 21 No. 1 (2024): Revista Técnica "energía", Edición No. 21, ISSUE I
- Wilson Brito, Santiago Chamba, Diego Echeverría, Aharon De La Torre, David Panchi, Parameter Identification, Validation and Tunning of Speed Regulator Tool Using Heuristic Optimization Algorithms , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
- José Castro, Paúl Soto, Ruth Reategui, Tuesman Castillo, Partitioning of an Electrical Distribution Systems Using K-Means and DBSCAN Clustering Algorithms , Revista Técnica "energía": Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
You may also start an advanced similarity search for this article.
The Optimal power flows are used in electrical systems to optimize the distribution of electrical energy. In general terms, the aim is to minimize the costs associated with the generation and distribution of electrical energy, while complying with the operational and safety restrictions of the system. To achieve this, mathematical algorithms are used to solve the problem of finding the optimal power flow, obtaining as a result the flows in each transmission line of the system. These algorithms take into account various input factors, such as energy demand, generation capacity of power plants, operating constraints of transmission lines and costs associated with the generation and distribution of electricity, and also aim to maximize the efficiency of the power system, through the minimization of costs and complying with the operating and security constraints of the system. In this way, in this research work, a proprietary tool is developed with MATLAB programming that determines the optimal power flow of a SEP and also considering the system restrictions. The IEEE 14-bus SEP has been taken as a reference for the analysis, where its optimal power flow is obtained and the restrictions of both emissions and fuel costs are analyzed, thus covering the optimization of power and considering the environmental issue.
Article visits 1547 | PDF visits 482
Downloads
- F. Ruiz-Tipán and A. Valenzuela, "Literary review of economic environmental dispatch considering bibliometric analysis," Iteckne, vol. 19, no. 1, 2021. [Online]. Available: https://doi.org/10.15332/iteckne.v19i1.2631
- F. Ruiz-Tipán and A. Valenzuela, "Despacho económico en centrales de generación térmicas considerando restricciones económicas y ambientales para la operación en isla de una red eléctrica industrial," Brazilian Applied Science Review, pp. 851–871, 2022. [Online]. Available: https://doi.org/10.34115/basrv6n3-002
- Y. Bai, X. Wu, and A. Xia, "An enhanced multi‐objective differential evolution algorithm for dynamic environmental economic dispatch of power system with wind power," 2020. [Online]. Available: https://doi.org/10.1002/ese3.827
- Z. Hu, Z. Li, C. Dai, X. Xu, Z. Xiong, and Q. Su, "Multiobjective grey prediction evolution algorithm for environmental/economic dispatch problem," IEEE Access, vol. 8, pp. 84162–84176, 2020. [Online]. Available: https://doi.org/10.1109/ACCESS.2020.2992116
- F. Paquin, J. Rivnay, A. Salleo, N. Stingelin, and C. Silva, "Multi-phase semicrystalline microstructures drive exciton dissociation in neat plastic semiconductors," J. Mater. Chem. C, vol. 3, no. 1, pp. 10715–10722, 2015. [Online]. Available: https://doi.org/10.1039/b000000x
- PSR, "Modelo NCP," 2021.
- E. L. Ikpendu and D. Ahmed, "An Overview of the Cosmological Big Bang Theory of the Universe," vol. 18, no. 1, pp. 105–124, 2020.
- A. Srivastava, D. K. Das, and P. K. Gupta, "A quantum class topper optimization algorithm to solve combined emission economic dispatch problem," Evol Intell, vol. 15, no. 1, pp. 513–527, 2022. [Online]. Available: https://doi.org/10.1007/s12065-020-00526-1
- J. Montano et al., "Application of the arithmetic optimization algorithm to solve the optimal power flow problem in direct current networks," Results in Engineering, vol. 16, no. Dc, 2022. [Online]. Available: https://doi.org/10.1016/j.rineng.2022.100654
- M. Sulaiman, S. Ahmad, J. Iqbal, A. Khan, and R. Khan, "Optimal operation of the hybrid electricity generation system using multiverse optimization algorithm," Comput Intell Neurosci, vol. 2019, 2019. [Online]. Available: https://doi.org/10.1155/2019/6192980
- M. J. Kim, T. S. Kim, R. J. Flores, and J. Brouwer, "Neural-network-based optimization for economic dispatch of combined heat and power systems," Appl Energy, vol. 265, no. February, p. 114785, 2020. [Online]. Available: https://doi.org/10.1016/j.apenergy.2020.114785
- L. F. Grisales, B. J. Restrepo Cuestas, and F. E. Jaramillo, "Ubicación y dimensionamiento de generación distribuida: una revisión," Ciencia e Ingeniería Neogranadina, vol. 27, no. 2, pp. 157–176, 2017.
- S. M. Shaahid and I. El-Amin, "Techno-economic evaluation of off-grid hybrid photovoltaic-diesel-battery power systems for rural electrification in Saudi Arabia-A way forward for sustainable development," Renewable and Sustainable Energy Reviews, vol. 13, no. 3, pp. 625–633, 2009. [Online]. Available: https://doi.org/10.1016/j.rser.2007.11.017
- I. Gonzalez and T. Sonja, "Review on generation and transmission expansion co-planning models under a market environment," 2019.
- F. Ruiz-Tipán, C. Barrera-Singana, and A. Valenzuela, "Reactive power compensation using power flow sensitivity analysis and QV curves," 2020 IEEE Andescon, Andescon 2020, 2020. [Online]. Available: https://doi.org/10.1109/ANDESCON50619.2020.9272113
- W. Gu et al., "Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review," International Journal of Electrical Power and Energy Systems, vol. 54, no. 2014, pp. 26–37, 2014. [Online]. Available: https://doi.org/10.1016/j.ijepes.2013.06.028
- Y. Wang, J. Qiu, and Y. Tao, "Optimal Power Scheduling Using Data-Driven Carbon Emission Flow Modelling for Carbon Intensity Control," IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2894–2905, Jul. 2022. [Online]. Available: https://doi.org/10.1109/TPWRS.2021.3126701
- J. G. Yumbla Romero et al., "Probabilistic Optimal Power Flow in Large Scale Electric Transmission Systems," IEEE Latin America Transactions, vol. 21, p. 12, Oct. 2023.
- F. Ruiz-Tipan and C. Barrera, "Determinación de la compensación reactiva en paralelo en sistemas de transmisión usando resultados de sensibilidad y curvas QV," 2020.
- S.-B. Barragán-Gómez and J. Robles-García, "Costo por el soporte de voltaje de los generadores en sistemas eléctricos con despacho centralizado," 2006.
- IEA, "CO2 Emissions in 2022," CO2 Emissions in 2022, 2023. [Online]. Available: https://doi.org/10.1787/12ad1e1a-en
- IEA, "Emissions intensity and change in electricity generation," 2023.
- W. Gu et al., "Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review," International Journal of Electrical Power and Energy Systems, vol. 54, pp. 26–37, 2014.
- Y. Wang, J. Qiu, and Y. Tao, "Optimal Power Scheduling Using Data-Driven Carbon Emission Flow Modeling for Carbon Intensity Control," IEEE Transactions on Power Systems, vol. 37, no. 4, pp. 2894–2905, Jul. 2022.
- REPSOL, "Energía para nuestro día a día," 2023.
- OMI, "Los combustibles en la era de las bajas emisiones de azufre," Revista Ingeniería Naval, p. 2020, 2020.
- S. M. A. S. Technology, "Factor de emisión CO2," pp. 4–7, 2022.
- Gobierno Del Ecuador, "Ministerio de Energía y Minas," Informe 2022, 2022.
- A. Srivastava, D. K. Das, and P. K. Gupta, "A quantum class topper optimization algorithm to solve combined emission economic dispatch problem," Evol. Intell., vol. 15, no. 1, pp. 513–527, 2022.
- . Montalvo et al., "Application of the arithmetic optimization algorithm to solve the optimal power flow problem in direct current networks," Results in Engineering, vol. 16, Dec. 2022. [Online]. Available: https://doi.org/10.1016/j.rineng.2022.100654
- A. Srivastava, D. K. Das, and P. K. Gupta, "A quantum class topper optimization algorithm to solve combined emission economic dispatch problem," Evol. Intell. vol. 15, no. 1, pp. 513–527, 2022.















