Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Robust expansion co-planning of electricity and natural gas infrastructures for multi energy-hub systems with high penetration of renewable energy sources

© The Institution of Engineering and Technology
Received 13/10/2018, Accepted 20/05/2019, Revised 13/04/2019, Published 29/05/2019

High penetration of renewable energy sources will cause crucial challenges for future energy systems. This study presents a three-level model for adaptive robust expansion co-planning of electricity and natural gas infrastructures in multi-energy-hub networks, which is robust against uncertainties of maximum production of wind generation and gas-fired power plants as well as estimated load levels. The proposed min–max–min model is formulated as a mixed integer linear programming problem. The first level minimises the investment cost of electricity and natural gas infrastructures, the worst possible case is determined through the second level, and the third level minimises the overall operation cost under that condition. To solve this model, the final minimisation problem is replaced by its Karush–Kuhn–Tucker conditions and a two-level problem is determined. Finally, by using the column and constraint generation algorithm the original problem is decomposed to master and sub-problems and the optimal solution is derived iteratively. The proposed robust expansion co-planning model is tested on modified Garver's 6-hub, modified IEEE RTS 24-hub, and modified IEEE 118-hub test systems and numerical results show its effectiveness to cope with uncertainties with regard to control conservativeness of the plan.

Inspec keywords: power generation planning; minimax techniques; renewable energy sources; load flow; integer programming; linear programming; natural gas technology

Other keywords: gas-fired power plants; modified IEEE 118-hub test systems; renewable energy sources; final minimisation problem; estimated load levels; electricity; mixed integer linear programming problem; three-level model; multienergy-hub systems; min–max–min model; adaptive robust expansion co-planning; two-level problem; robust expansion co-planning model; constraint generation algorithm; wind generation; multienergy-hub networks; natural gas infrastructures; future energy systems; high penetration

Subjects: Thermal power stations and plants; Power system planning and layout; Optimisation techniques

References

    1. 1)
      • 5. Qiu, J., Dong, Z.Y., Zhao, J.H., et al: ‘A linear programming approach to expansion co-planning in gas and electricity markets’, IEEE Trans. Power Syst., 2016, 31, (5), pp. 3594–3606.
    2. 2)
      • 1. ‘Renewable electricity futures study’. Available at https://www.nrel.gov/analysis/re-futures.html.
    3. 3)
      • 18. Li, C., Dong, Z., Chen, G., et al: ‘Flexible transmission expansion planning associated with large-scale wind farms integration considering demand response’, IET Gener. Transm. Distrib., 2015, 9, (15), pp. 2276–2283.
    4. 4)
      • 7. Qiu, J., Dong, Z.Y., Zhao, J.H., et al: ‘Low carbon oriented expansion planning of integrated gas and power systems’, IEEE Trans. Power Syst., 2015, 30, (2), pp. 1035–1046.
    5. 5)
      • 10. Qiu, J., Dong, Z.Y., Zhao, J.H., et al: ‘Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market’, IEEE Trans. Power Syst., 2015, 30, (4), pp. 2119–2129.
    6. 6)
      • 21. Zeng, B., Zhao, L.: ‘Solving two-stage robust optimization problems using a column-and-constraint generation method’, Oper. Res. Lett., 2013, 41, (5), pp. 457–461.
    7. 7)
      • 16. Zhao, B., Conejo, A.J., Sioshansi, R.: ‘Coordinated expansion planning of natural gas and electric power systems’, IEEE Trans. Power Syst., 2018, 33, (3), pp. 3064–3075.
    8. 8)
      • 6. Zhang, X., Che, L., Shahidehpour, M., et al: ‘Reliability-based optimal planning of electricity and natural gas interconnections for multiple energy hubs’, IEEE Trans. Smart Grid, 2017, 8, (4), pp. 1658–1667.
    9. 9)
      • 15. Zhang, X., Che, L., Shahidehpour, M.: ‘Long-term expansion planning of integrated electricity and natural gas transportation infrastructures’. 2015 IEEE Power & Energy Society General Meeting, Denver, CO, USA, 2015, pp. 1–5.
    10. 10)
      • 19. Dehghan, S., Amjady, N., Conejo, A.J.: ‘Reliability-constrained robust power system expansion planning’, IEEE Trans. Power Syst., 2016, 31, (3), pp. 2383–2392.
    11. 11)
      • 9. Chaudry, M., Jenkins, N., Qadrdan, M., et al: ‘Combined gas and electricity network expansion planning’, Appl. Energy, 2014, 113, pp. 1171–1187.
    12. 12)
      • 8. Mozafari, Y., Rosehart, W.D., Zareipour, H.: ‘Integrated electricity generation, CHPs, and boilers expansion planning: alberta case study’. 2015 IEEE Power & Energy Society General Meeting, Denver, CO, USA, 2015, pp. 1–5.
    13. 13)
      • 20. Ruiz, C., Conejo, A.J.: ‘Robust transmission expansion planning’, Eur. J. Oper. Res., 2015, 242, (2), pp. 390–401.
    14. 14)
      • 14. Zhang, X., Shahidehpour, M., Alabdulwahab, A., et al: ‘Hourly electricity demand response in the stochastic day-ahead scheduling of coordinated electricity and natural gas networks’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 592–601.
    15. 15)
      • 17. Qiu, J., Zhao, J., Dong, Z.Y.: ‘Probabilistic transmission expansion planning for increasing wind power penetration’, IET Renew. Power Gener., 2017, 11, (6), pp. 837–845.
    16. 16)
      • 23. U.S. Department of Energy: ‘Combined heat and power technology fact sheet series’, 2016.
    17. 17)
      • 11. Barati, F., Seifi, H., Sepasian, M.S., et al: ‘Multi-period integrated framework of generation, transmission, and natural gas grid expansion planning for large-scale systems’, IEEE Trans. Power Syst., 2015, 30, (5), pp. 2527–2537.
    18. 18)
      • 4. ‘Cogeneration of heat and power’. Available at https://ec.europa.eu/energy/en/topics/energy-efficiency/cogeneration-heat-and-power.
    19. 19)
      • 24. P. M. Subcommittee: ‘IEEE reliability test system’, IEEE Trans. Power Appar. Syst., 1979, PAS-98, (6), pp. 2047–2054.
    20. 20)
      • 13. Zhang, X., Shahidehpour, M., Alabdulwahab, A., et al: ‘Optimal expansion planning of energy hub with multiple energy infrastructures’, IEEE Trans. Smart Grid, 2015, 6, (5), pp. 2302–2311.
    21. 21)
      • 3. ‘EIA forecasts natural gas to remain primary energy source for electricity generation’. Available at https://www.eia.gov/todayinenergy/detail.php?id=34612.
    22. 22)
      • 2. Conejo, A.J., Baringo, L., Kazempour, S.J., et al: ‘Investment in electricity generation and Transmission’ (Springer, Cham, Switzerland, 2016).
    23. 23)
      • 12. Odetayo, B., MacCormack, J., Rosehart, W.D., et al: ‘Integrated planning of natural gas and electricity distribution networks with the presence of distributed natural gas fired generators’. 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 2016, pp. 1–5.
    24. 24)
      • 22. Garver, L.L.: ‘Transmission network estimation using linear programming’, IEEE Trans. Power Appar. Syst., 1970, PAS-89, (7), pp. 1688–1697.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2018.6005
Loading

Related content

content/journals/10.1049/iet-rpg.2018.6005
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address