Load restoration methodology considering renewable energies and combined heat and power systems

  • Authors

    • Hayder O. Alwan
    • Noor M. Farhan
    2018-03-11
    https://doi.org/10.14419/ijet.v7i2.6.10138
  • Power System Restoration, Renewable Energies, CHP Systems, Greedy Algorithm.
  • Outages and faults cause problems in interconnected power system with huge economic consequences in modern societies. In the power system blackouts, black start resources such as micro combined heat and power (CHP) systems and renewable energies, due to their self-start ability, are one of the solutions to restore power system as quickly as possible. In this paper, we propose a model for power system restoration considering CHP systems and renewable energy sources as being available in blackout states. We define a control variable representing a level of balance between the distance and importance of loads according to the importance and urgency of the affected customer. Dynamic power flow is considered in order to find feasible sequence and combination of loads for load restoration.

  • References

    1. [1] D. Lindenmeyer, H. W. Dommel, and M. M. Adibi, “Power system restoration - a bibliographical survey,†Int. J. Electr. Power Energy Syst., vol. 23, no. 3, pp. 219–227, 2001.

      [2] Y. Liu, R. Fan, and V. Terzija, “Power system restoration: a literature review from 2006 to 2016,†J. Mod. Power Syst. Clean Energy, vol. 4, no. 3, pp. 332–341, 2016.

      [3] A. Majzoobi and A. Khodaei, “Application of Microgrids in Supporting Distribution Grid Flexibility,†IEEE Trans. Power Syst., vol. 32, no. 5, pp. 3660–3669, Sep. 2017.

      [4] A. Majzoobi, M. Mahoor, and A. Khodaei, “Microgrid Value of Ramping,†in IEEE International Conference on Smart Grid Communications, Dresden, Germany, 2017.

      [5] A. Jalali, S. K. Mohammadi, H. Sangrody, and A. R. Karlsruhe, “DG-embedded radial distribution system planning using binary-selective PSO,†in 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016, pp. 996–1001.

      [6] Y. N. Zarnaghi, S. H. Hosseini, S. G. Zadeh, B. Mohammadi-Ivatloo, J. C. V. Quintero, and J. M. Guerrero, “Distributed Power Quality Improvement in Residential Microgrids,†in Eleco 2017 10th International Ieee Conference on Electrical and Electronics Engineering, 2017.

      [7] M. Mahoor, N. Iravani, S. M. Salamati, A. Aghabali, and A. Rahimi-Kian, “Smart energy management for a micro-grid with consideration of demand response plans,†in 2013 Smart Grid Conference (SGC), 2013, pp. 125–130.

      [8] M. Alanazi, M. Mahoor, and A. Khodaei, “Two-stage hybrid day-ahead solar forecasting,†in 2017 North American Power Symposium (NAPS), 2017, pp. 1–6.

      [9] M. Mahoor, Z. S. Hosseini, A. Khodaie, and D. Kushner, “Electric Vehicle Battery Swapping Station,†in CIGRE Grid of the Future Symposium, 2017, Cleveland, OH., 2017.

      [10] M. Mahoor, F. R. Salmasi, and T. A. Najafabadi, “A Hierarchical Smart Street Lighting System With Brute-Force Energy Optimization,†IEEE Sens. J., vol. 17, no. 9, pp. 2871–2879, May 2017.

      [11] A. Valibeygi, A. Toudeshki, and K. Vijayaraghavan, “Observer-based sensor fault estimation in nonlinear systems,†Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng., vol. 230, no. 8, pp. 759–777, 2016.

      [12] M. De Paepe, P. D’Herdt, and D. Mertens, “Micro-CHP systems for residential applications,†Energy Convers. Manag., vol. 47, no. 18–19, pp. 3435–3446, Nov. 2006.

      [13] H. Cho, R. Luck, S. D. Eksioglu, and L. M. Chamra, “Cost-optimized real-time operation of CHP systems,†Energy Build., vol. 41, no. 4, pp. 445–451, Apr. 2009.

      [14] S. Vejdan and S. Grijalva, “The Value of Real-Time Energy Arbitrage with Energy Storage Systems,†in Power and Energy Society General Meeting (PESGM), 2018.

      [15] H. R. Sadeghian and M. M. Ardehali, “A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition,†Energy, vol. 102, pp. 10–23, May 2016.

      [16] J. Stępień and S. Filipiak, “Application of the evolutionary algorithm with memory at the population level for restoration service of electric power distribution networks,†Int. J. Electr. Power Energy Syst., vol. 63, no. 0, pp. 695–704, 2014.

      [17] A. Augugliaro, L. Dusonchet, and E. Riva Sanseverino, “Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets,†Int. J. Electr. Power Energy Syst., vol. 22, no. 2, pp. 103–110, 2000.

      [18] F. Ren, M. Zhang, D. Soetanto, and X. Su, “Conceptual design of a multi-agent system for interconnected power systems restoration,†IEEE Trans. Power Syst., vol. 27, no. 2, pp. 732–740, 2012.

      [19] T. T. Ha Pham, Y. Bésanger, C. Andrieu, N. Hadjsaid, M. Fontela, and B. Enacheanu, “A new restoration process in power systems with large scale of dispersed generation,†Proc. IEEE Power Eng. Soc. Transm. Distrib. Conf., pp. 1185–1190, 2006.

      [20] T. T. Borges, S. Carneiro, P. A. N. Garcia, and J. L. R. Pereira, “A new OPF based distribution system restoration method,†Int. J. Electr. Power Energy Syst., vol. 80, pp. 297–305, 2016.

      [21] R. Ribeiro et al., “An Advanced Software Tool to Simulate Service Restoration Problems: A case study on Power Distribution Systems,†Procedia Comput. Sci., vol. 108, pp. 675–684, 2017.

      [22] H. O. Alwan, N. M. Farhan, and Q. S-Al-Sabbagh, “Design of Data Aquistion interface circuit used in Detection Inter-turn Faultin Motorbased onMotor Current Signature Analysis (MCSA)Technique,†Int. J. Eng. Res. Appl., vol. 7, no. 6, pp. 79–89, 2017.

      [23] Y. Jiang et al., “Blackstart capability planning for power system restoration,†Int. J. Electr. Power Energy Syst., vol. 86, pp. 127–137, 2017.

      [24] H. O. Alwan and Q. S-Al-Sabbagh, “Various Types of Faults and Their Detection Techniques in Three Phase Induction Motors Fault,†Int. J. Eng. Res. Appl., vol. 7, no. 5, pp. 24–33, 2017.

      [25] C. Shen, P. Kaufmann, C. Hachmann, and M. Braun, “Three-stage power system restoration methodology considering renewable energies,†Int. J. Electr. Power Energy Syst., vol. 94, pp. 287–299, 2018.

      [26] W. Sun, C.-C. Liu, and L. Zhang, “Optimal Generator Start-Up Strategy for Bulk Power System Restoration,†IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1357–1366, Aug. 2011.

      [27] G. S. Piperagkas, A. G. Anastasiadis, and N. D. Hatziargyriou, “Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units,†Electr. Power Syst. Res., vol. 81, no. 1, pp. 209–218, 2011.

  • Downloads

  • How to Cite

    O. Alwan, H., & M. Farhan, N. (2018). Load restoration methodology considering renewable energies and combined heat and power systems. International Journal of Engineering & Technology, 7(2.6), 130-134. https://doi.org/10.14419/ijet.v7i2.6.10138