Valoración de programas de implementación de generación distribuida en sistemas de potencia
Autores/as
-
Jesus Maria Lopez Lezama
Facultad de Ingeniería
Universidad de Antioquia
https://orcid.org/0000-0002-2369-6173
- Carlos Andres Tamayo Universidad de Antioquia
- Martin Miguel Sanchez Mora Universidad de Antioquia
DOI:
https://doi.org/10.33571/rpolitec.v15n28a6Palabras clave:
Sistemas de potencia, contingencias, generación distribuidaResumen
En este artículo se presenta una metodología para valorar programas de implementación de generación distribuida (GD) en sistemas de potencia. La valoración de los programas se hace a través de diferentes índices que consideran la cargabilidad y el perfil de tensión de la red ante diferentes escenarios operativos, como también el efecto de contingencias simples (criterio N-1). Inicialmente los índices se usan para diagnosticar el sistema e identificar elementos y escenarios operativos críticos. Posteriormente, se evalúa el efecto de la implementación de programas de GD en la red cuando esta se reparte de forma uniforme y cuando se ubica en los nodos críticos identificados en el caso base. Se realizaron varias pruebas en los sistemas IEEE de 24 y 57 barras. Los resultados muestran que la GD reduce en mayor medida la criticidad de líneas y escenarios operativos cuando esta es ubicada en nodos estratégicos.
This paper presents a methodology for the assessment of distributed generation (DG) implementation programs in power systems. The assessment of such programs is performed through different indexes that consider the chargeability and voltage profile of the network under different operative scenarios. Additionally, the effect of simple contingencies (N-1 criterion) was taken into account. Initially, the indexes are used to diagnose the system and identify critical elements and scenarios. Subsequently, the effect of the implementation of DG programs in the network is evaluated when it is distributed uniformly and when it is located in the critical nodes identified in the base case. Several tests were performed on the IEEE 24 and 57 bus test systems. Results show that DG leads to an important reduction of the criticality of both lines and operative scenarios when located in strategic nodes.
Métricas de artículo
Resumen: 362 HTML: 251 PDF: 262 XML: 95Métricas PlumX
Citas
Dehghan, S.N., Amjady, N y Conejo, A.J. Adaptive Robust Transmission Expansion Planning Using Linear Decision Rules, IEEE Trans. Power Syst., 32, 5, 4024–4034, 2017.
El-Khattam W y Salama, M.A. Distributed generation technologies, definitions and benefits, Electr. Power Syst. Res., 71, 2, 119–128, 2004.
Kim I. Optimal distributed generation allocation for reactive power control, Transm. Distrib. IET Gener., 11, 6, 1549–1556, 2017.
Mahmoud, K.N., Yorino, N y Ahmed, A. Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization, IEEE Trans. Power Syst., 31, 2, 960–969, 2016.
Kumawat, P. Sarfaraz y Tandon, A. An analytical approach for optimal allocation of DG unit in distribution system, in 2016 IEEE 7th Power India International Conference (PIICON), 1–6, 2016.
Hosseini R.K. y Kazemzadeh, R. Optimal DG allocation by extending an analytical method to minimize losses in radial distribution systems, in 2011 19th Iranian Conference on Electrical Engineering, pp. 1–6, 2011.
Ganguly, S. y Samajpati, D. Distributed Generation Allocation on Radial Distribution Networks Under Uncertainties of Load and Generation Using Genetic Algorithm, IEEE Trans. Sustain. Energy, 6, 3, 688–697, 2015.
Talaat, H.E.A y Al-Ammar, E. Optimal allocation and sizing of Distributed Generation in distribution networks using Genetic Algorithms, in 11th International Conference on Electrical Power Quality and Utilisation, 1–6, 2011.
Candelo, J.E., Hernandez, H.E y Santander, A.R. A hybrid bat-inspired algorithm with harmony search to locate distributed generation, Rev. Espac, 38. 57, 2017.
Rider, M.J., Lopez-Lezama, J.M., Contreras, J y Padilha-Feltrin, A. Bilevel approach for optimal location and contract pricing of distributed generation in radial distribution systems using mixed-integer linear programming, Transm. Distrib. IET Gener, 7, 7, 724–734, 2013.
Kareem, Z.A. Ahmad, W.F.W., Jasni, J y Wahab, N.I.A. A review on optimal location of distributed generation techniques in electrical network, in 2016 IEEE International Conference on Power and Energy (PECon), 632–636, 2016.
Sharma, P y Tandon, A. Techniques for optimal placement of DG in radial distribution system: A review, in 2015 Communication, Control and Intelligent Systems (CCIS), 453–458, 2015.
Casadiegos, A., Muñoz-Quintana, J.A., Moreno, D., Paniagua-Osorio, J.F., Tamayo-Cortes, Marín-Cano, C.C., Jaramillo-Duque, A y López-Lezama, J.M. C.A. Impact assessment of demand response and distributed generation in the colombian power system chargeability, in 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), 1–6, 2017.
Lepadat, I., Helerea, E., Abagiu, S y Mihai, C. Impact of Distributed Generation on voltage profile and power losses in a test power grid, in 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP), pp. 128–133, 2017.
Publicado
Cómo citar
Número
Sección
Licencia
_
