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Short-Term Scheduling of Integrated Power and Spinning Reserve of a Wind-Hydrothermal Generation System with AC Network Security Constraints

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Abstract

The world energy matrix has diversified and has become a mix of hydroelectric, thermoelectric and renewable sources, such as wind energy. However, wind power is uncertain and variable, and its random intermittence leads to great challenges in coordinating it with a large hydrothermal system, for example. These questions require increased availability of spinning reserve as a solution to reduce the risk of deficit in moments when there is no wind power generation. This spinning reserve must be appropriately allocated between the hydraulic and thermal generating units so that, when necessary, they will be available and operational. To carry out this adequate allocation, besides considering the conventional operational limits of a problem of generation dispatch, it is also necessary to take into consideration the limits of the interchange lines that connect the subsystems that compose the electric network. So, in cases of congestion of these transmission lines, the subsystem itself can supply its spinning reserve under different hydrological conditions. Thus, this work proposes a mathematical formulation to dispatch power generation and allocate spinning reserve simultaneously, considering different hydrological day-ahead conditions. To do this, a nonlinear and dynamic optimal power flow is modeled, which, in addition to performing the active and reactive power dispatch of a hydrothermal system (including electrical and energy restrictions) for a day-ahead horizon, is also capable of carrying out an optimal allocation of the spinning reserve (hydraulic and thermal). The model is tested using a system of 33 buses to represent the system of the southern region of Brazil.

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Adapted from (Alves 2007)

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References

  • Ahmadi-Khatir, A., Conejo, A., & Cherkaoui, R. (2013). Multi-area energy and reserve dispatch under wind incertainty and equipment failures. IEEE Transactions on Power Systems, 28(4), 373–4383.

    Article  Google Scholar 

  • Alves, W. F. (2007). Proposition of test systems to computational analyses of power systems. Master Dissertation, Universidade Federal Fluminense, Niterói.

  • ANEEL—National Electrical Energy Agency. (2001). Networking procedures. DF: Brasília.

  • Borges, S., Fernandes, T. S. P., & Almeida, K. C. (2011). Hydrothermal pre-dispatch of active and reactive power via method of interior points and rectangular coordinates. Revista Controle and Automação, 22(5), 479–494.

    Article  Google Scholar 

  • Bouffard, F., & Galiana, F. D. (2004). An electricity market with a probabilistic spinning reserve criterion. IEEE Transactions on Power Systems, 19(1), 300–307.

    Article  Google Scholar 

  • Chen, C.-L., Chen, Z.-Y., & Lee, T.-Y. (2014). Multi-area economic generation and reserve dispatch considering large-scale integration of wind power. International Journal of Electrical Power and Energy Systems, 55, 171–178.

    Article  Google Scholar 

  • Chiavegato, F. G., Oliveira, A. R. L., & Soares, S. (2001). Pre-dispatch of electrical energy systems via Lagrangian relaxation and interior point method. Búzios: XXII CILANCE.

  • Costa, A. L., & Costa, A. S. (2007). Energy and ancillary service dispatch through dynamic optimal power flow. Electric Power Systems Research, 77, 1047–1055.

    Article  Google Scholar 

  • Gooi, H. B., Mendes, D. P., Bell, K. R. W., & Kirschen, D. S. (1999). Optimal scheduling of spinning reserve. IEEE Transactions on Power Systems, 14(4), 1485–1490.

    Article  Google Scholar 

  • Granville, S. (1994). Optimal reactive dispatch through interior point methods. IEEE Transactions on Power Systems, 9(2), 136–146.

    Article  Google Scholar 

  • Helseth, A., Gjelsvik, A., Mo, B., & Linnet, U. (2013). A model for optimal scheduling of hydro thermal systems including pumped-storage and wind power. IET Generation, Transmission & Distribution, 7(12), 1426.

  • Karami, M., Shayanfar, H. A., Aghaei, J., & Ahmadi, A. (2013). Scenario-based security-constrained hydrothermal coordination with volatile wind power generation. Renewable and Sustainable Energy Reviews, 28, 726–737.

    Article  Google Scholar 

  • Li, J., Wen, J., Cheng, S., & Wei, H. (2014). Minimum energy storage for power system with high wind power penetration using p-efficient point. Science China Information Sciences, 57(12), 1–12.

    Google Scholar 

  • Liu, G., & Tomsovic, K. (2012). Quantifying spinning reserve in systems with significant wind power penetration. IEEE Transactions on Power Systems, 27(4), 2385–2393.

    Article  Google Scholar 

  • Nasrolahpour, E., & Ghasemi, H. (2015). A stochastic security constrained unit commitment model for reconfigurable networks with high wind power penetration. Electric Power Systems Research, 121, 341–350.

    Article  Google Scholar 

  • Nepomuceno, L., Ohishi, T., & Soares, T. S. (2000). A pre-dispatch methodology AC based on a model of Newton’s FPO. Revista Controle and Automação, 11(03), 169–175.

    Google Scholar 

  • Nogc, P. D. N., Pham, T. T. H., Bacha, S., & RPYCE, D. (2009). Optimal operation for a wind-hydro power plant to participate to ancillary services. In Proceedings of the 2009 IEEE international conference on industrial technology (pp. 1–5).

  • Ortega-Vazquez, M. A., Kirschen, D. S., & Pudjianto, D. (2006). Optimizing the scheduling of spinning reserve considering the cost of interruptions. Proceedings IEEE Generation, Transmission and Distribution, 153(5), 570–575.

    Article  Google Scholar 

  • Partovi, F., Nokzad, M., Mozafari, B., & Ranjbar, A. M. (2011). A stochastic security approach to energy and spinning reserve scheduling considering demand response program. Energy, 36(5), 3130–3137.

    Article  Google Scholar 

  • Reddy, S., Panigrahi, B. K., Kundu, R., Mukheejee, R., & Debchoudhury, S. (2013). Energy and spinning reserve scheduling for a wind-thermal power system using CMA-ES with mean learning technique. International Journal of Electrical Power and Energy Systems, 53, 113–122.

    Article  Google Scholar 

  • Sahebi, M. M. R., & Hosseinii, S. H. (2014). Stochastic security constrained unit commitment incorporating demand side reserve. International Journal of Electrical Power and Energy Systems, 56, 175–184.

    Article  Google Scholar 

  • Shayesteh, E., Amelin, M., & Soder, L. (2015). Area equivalents for spinning reserve determination in interconnected power systems. Energy, 88, 907–916.

    Article  Google Scholar 

  • Silva, S. R., Queiroz, A. R., & Lima, L. M. M. (2014). Effects of wind penetration in the scheduling of a hydro-dominant power system. In IEEE PES general meeting \({\vert }\) conference and exposition.

  • Simopoulos, D. N., Kavatza, S. D., & Vournas, C. D. (2006). Reliability constrained unit commitment using simulated annealing. IEEE Transactions on Power Systems, 20(1), 223–229.

    Google Scholar 

  • Soder, L. (1993). Reserve margin planning in a wind-hydro-thermal power system. IEEE Transactions on Power Systems, 8(2), 564–571.

    Article  Google Scholar 

  • Unsihuay-Vila, C., Luz, T., & Finardi, E. (2015). Day-ahead optimal operation planning of wind and hydrothermal generation with optimal spinning reserve allocation. International Journal of Power and Energy Systems, 35, 1–8.

    Article  Google Scholar 

  • Wang, J., Wang, X., & Wu, Y. (2005). Operating reserve model in the power market. IEEE Transactions on Power Systems, 20(1), 223–229.

    Article  Google Scholar 

  • Wang, K. Y., Luo, X. J., Wu, L., & Liu, X. C. (2013). Optimal coordination of wind-hydro-thermal based on water complementing wind. Renewable Energy, 60, 169–178.

    Article  Google Scholar 

  • Yuan, X., Tian, H., Yuan, Y., Huang, Y., & Ikram, R. M. (2015). An extended NSGA-III for solution multi-objective hydro-thermal-wind scheduling considering wind power cost. Energy Conversion and Management, 96, 568–578.

    Article  Google Scholar 

  • Zheng, J. H., Chen, J. J., Wu, Q. H., & Jing, Z. X. (2015). Reliability constrained unit commitment with combined hydro and thermal generation embedded using self-learning group search optimize. Energy, 81, 245–254.

    Article  Google Scholar 

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Acknowledgements

This work was made possible by funding from CNPq, LACTEC, and UFPR.

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Correspondence to Thelma S. P. Fernandes.

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de Moraes, R.A., Fernandes, T.S.P., Arantes, A.G.B. et al. Short-Term Scheduling of Integrated Power and Spinning Reserve of a Wind-Hydrothermal Generation System with AC Network Security Constraints. J Control Autom Electr Syst 29, 1–14 (2018). https://doi.org/10.1007/s40313-017-0355-6

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  • DOI: https://doi.org/10.1007/s40313-017-0355-6

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