© The Institution of Engineering and Technology
Existing system restoration strategies are primarily based on operators’ experience with no specific decision support tools. Restoration of interconnected grids in Europe is decentralised; restoration planning is limited to within the area of control for each national transmission system operator (TSO). Although coordination of restorative actions between TSOs is encouraged, few agreements exist. This study proposes a decision support methodology for system operators and restoration planners for restoration of interconnected grids. Solutions to optimal and coordinated utilisation of tie lines (TLs) are proposed. The proposed tool facilitates collaboration between TSOs affected by wide area blackouts. The decision support tool allows to adaptively develop restoration strategies based on system conditions, available resources and operating constraints. Optimisation algorithms are proposed to determine the optimal utilisation of TLs and/or black-start (BS) units to crank non-BS units. Optimal power flow problems are formulated for utilisation of TLs. They offer solutions for neighbouring TSOs to determine the extent to which TLs can be used without violating constraints. The proposed decision support tool is tested with IEEE 39-bus system.
References
-
-
1)
-
21. Prakash, S., Kumar, P., Prasad, B.V., Gupta, A.: ‘Pareto optimal solutions of a cost-time trade-off bulk transportation problem’, Eur. J. Oper. Res., 2008, 188, (1), pp. 85–100 (doi: 10.1016/j.ejor.2007.03.040).
-
2)
-
8. Liu, W., Lin, Z., Wen, F., Ledwich, G.: ‘Analysis and optimisation of the preferences of decision-makers in black-start group decision-making’, IET Gener. Transm. Distrib., 2013, 7, (1), pp. 14–23 (doi: 10.1049/iet-gtd.2012.0093).
-
3)
-
4. Adibi, M.M., Martins, N.: ‘Power system restoration dynamics issues’. Proc. IEEE Power Eng. Soc. General Meeting, Pittsburgh, PA, July 2008, pp. 1–8.
-
4)
-
R.D. Zimmerman ,
C.E. Murillo-Sánchez ,
R.J. Thomas
.
MATPOWER steady-state operations, planning and analysis tools for power systems research and education.
IEEE Trans. Power Syst.
,
1 ,
12 -
19
-
5)
-
19. Duffey, R.B., Ha, T.: ‘The probability and timing of power system restoration’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 3–9 (doi: 10.1109/TPWRS.2012.2203832).
-
6)
-
3. Feltes, J., Grande-Moran, C.: ‘Down, but not out: a brief overview of restoration issues’, IEEE Power Energy Mag., 2014, 12, (1), pp. 34–43 (doi: 10.1109/MPE.2013.2285608).
-
7)
-
16. Besanger, Y., Eremia, M., Voropai, N.: ‘Major grid blackouts: analysis, classification, and prevention’, in Eremia, M., Shahidehpour, M. (Eds.): ‘Handbook of electrical power system dynamics’ (IEEE Press, 2013, 1st edn.), pp. 789–863.
-
8)
-
20. Adibi, M.M., Milanicz, D.P., Volkmann, T.L.: ‘Remote cranking of steam electric stations’, IEEE Trans. Power Syst., 1996, 11, (3), pp. 1613–1618 (doi: 10.1109/59.535705).
-
9)
-
19. Liou, K.L., Liu, C.C., Chu, R.F.: ‘Tie line utilization during power system restoration’, IEEE Trans. Power Syst., 1995, 10, pp. 192–199 (doi: 10.1109/59.373942).
-
10)
-
L.H. Fink ,
K. Liou ,
C. Liu
.
From generic restoration actions to specific restoration strategies.
IEEE Trans. Power Syst.
,
2 ,
745 -
751
-
11)
-
10. Wang, C., Vittal, V., Sun, K.: ‘OBDD-based sectionalizing strategies for parallel power system restoration’, IEEE Trans. Power Syst., 2011, 26, (3), pp. 1426–1433 (doi: 10.1109/TPWRS.2010.2074216).
-
12)
-
14. ‘Continental Europe operation handbook. Policy 5: emergency operations’. .
-
13)
-
7. Chou, Y.T., Liu, C.W., Wang, Y.J., Wu, C.C., Lin, C.C.: ‘Development of a black start decision supporting system for isolated power systems’, IEEE Trans. Power Syst., 2013, 28, (3), pp. 2202–2013 (doi: 10.1109/TPWRS.2013.2237792).
-
14)
-
5. Sidhu, T.S., Tziouvaras, D.A., Apostolov, A.P., et al: ‘Protection issues during system restoration’, IEEE Trans. Power Deliv., 2005, 20, (1), pp. 47–56 (doi: 10.1109/TPWRD.2004.839734).
-
15)
-
23. Mota, L.T.M., Mota, A.A., Morelato, A.: ‘Load behaviour prediction under blackout conditions using a fuzzy expert system’, IET. Gener. Transm. Distrib., 2007, 1, (3), pp. 379–387 (doi: 10.1049/iet-gtd:20050358).
-
16)
-
18. Hou, Y., Liu, C.C., Sun, K., et al: ‘Computation of milestones for decision support during system restoration’, IEEE Trans. Power Syst., 2011, 26, (3), pp. 1399–1409 (doi: 10.1109/TPWRS.2010.2089540).
-
17)
-
14. Zhang, C., Lin, Z., Wen, F., Ledwich, G., Xue, Y.: ‘Two-stage power network reconfiguration strategy considering node importance and restored generation capacity’, IET Gener. Transm. Distrib., 2014, 8, pp. 91–103 (doi: 10.1049/iet-gtd.2013.0065).
-
18)
-
6. Adibi, M.M.: ‘Power system restoration: methodologies & implementation strategies’ (Wiley-IEEE Press, 2000, 1st edn.).
-
19)
-
19. Mello, F.P., Westcott, J.C.: ‘Steam plant startup and control in system restoration’, IEEE Trans. Power Syst., 1994, 9, (1), pp. 93–101 (doi: 10.1109/59.317553).
-
20)
-
13. Chen, X., Deng, C., Chen, Y., Li, C.: ‘Blackout prevention: anatomy of the blackout in Europe’. Proc. Int. Power Eng. Conf., Singapore, December 2007, pp. 928–932.
-
21)
-
2. Adibi, M.M., Fink, L.H.: ‘Overcoming restoration challenges associated with major power system disturbances – restoration from cascading failures’, IEEE Power Energy Mag., 2006, 4, (5), pp. 68–77 (doi: 10.1109/MPAE.2006.1687819).
-
22)
-
12. Nourizadeh, S., Karimi, M.J., Ranjbar, A.M., Shirani, A.: ‘Power system stability assessment during restoration based on a wide area measurement system’, IET Gener. Transm. Distrib., 2012, 6, (11), pp. 1171–1179 (doi: 10.1049/iet-gtd.2012.0054).
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