This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
In this study, a transmission expansion planning problem is studied considering the effects of wind units on transmission congestion and power system reliability in a uniform electricity market. Market clearing price (MCP) is determined based on the maximisation of social welfare. Also, the congestion cost of a transmission system is defined as the difference between the cost of power supply before market clearing disregarding the transmission system (dispatching cost) and the operation cost of generating wind units of power suppliers considering transmission lines limit (re-dispatching cost). Dispatching cost is calculated using economic load dispatch and the re-dispatching cost is determined using optimal power flow. Moreover, the effect of wind units on transmission network reliability is studied through the relationship between wind units and lines loading and coherence between lines loading and lines failure rate. In addition, the effects of wind generation on composite transmission and generation reliability is formulated via the relationship between wind units and MCP and considering this price in loss of load and load shedding cost of customers. The proposed model is applied to the IEEE reliability test system and the results are discussed.
References
-
-
1)
-
32. IEEE Reliability Test System Task Force of the Application of Probability Methods Subcommittee: ‘The IEEE reliability test system 1996’, IEEE Trans. Power Syst., 1999, 14, (3), pp. 1010–1020 (doi: 10.1109/59.780914).
-
2)
-
1. Charlin, D., Rudnick, H., Araneda, J.C.: ‘Transmission expansion under uncertainty in the Chilean system via minmax regret with GA’, IEEE Lat. Am. Trans., 2015, 13, (3), pp. 698–706 (doi: 10.1109/TLA.2015.7069094).
-
3)
-
14. Seddighi, A.H., Ahmadi-Javid, A.: ‘Integrated multiperiod power generation and transmission expansion planning with sustainability aspects in a stochastic environment’, Energy, 2015, 86, pp. 9–18 (doi: 10.1016/j.energy.2015.02.047).
-
4)
-
33. Moeini-Aghtaie, M., Abbaspour, A., Fotuhi-Firuzabad, M.: ‘Incorporating large-scale distant wind farms in probabilistic transmission expansion planning – part II: case studies’, IEEE Trans. Power Syst., 2012, 27, (3), pp. 1594–1601 (doi: 10.1109/TPWRS.2011.2182364).
-
5)
-
20. Gu, Y., McCalley, J., Ni, M.: ‘Coordinating large-scale wind integration and transmission planning’, IEEE Trans. Sustain. Energy, 2012, 3, (4), pp. 652–659 (doi: 10.1109/TSTE.2012.2204069).
-
6)
-
1. Orfanos, G.A., Georgilakis, P.S., Hatziargyriou, N.D.: ‘Transmission expansion planning of systems with increasing wind power inteon’, IEEE Trans. Power Syst., 2013, 28, pp. 1355–1362 (doi: 10.1109/TPWRS.2012.2214242).
-
7)
-
12. Jaefari-Nokandi, M., Monsef, H.: ‘Scheduling of spinning reserve considering customer choice on reliability’, IEEE Trans. Power Syst., 2009, 24, (4), pp. 1780–1789 (doi: 10.1109/TPWRS.2009.2023270).
-
8)
-
46. Gallego, R.A., Monticelli, A., Romero, R.: ‘Transmission expansion planning by extended genetic algorithm’, Proc. IEE Gener. Transm. Distrib., 1998, 145, (3), pp. 329–335 (doi: 10.1049/ip-gtd:19981895).
-
9)
-
15. Mahdavi, M., Monsef, H., Romero, R.: ‘Reliability effects of maintenance on TNEP considering preventive and corrective repairs’, IEEE Trans. Power Syst., 2017, 32, (5), pp. 3768–3781 (doi: 10.1109/TPWRS.2016.2640178).
-
10)
-
3. Arabali, A., Ghofrani, M., Etezadi-Amoli, M., et al: ‘A multi-objective transmission expansion planning framework in deregulated power systems with wind generation’, IEEE Trans. Power Syst., 2014, 29, (6), pp. 3003–3011 (doi: 10.1109/TPWRS.2014.2316529).
-
11)
-
16. Shayeghi, H., Mahdavi, M.: ‘Studying the effect of losses coefficient on transmission expansion planning using decimal codification based GA’, Int. J. Tech. Phys. Problems Eng., 2009, 1, (11), pp. 58–64.
-
12)
-
9. Ugranli, F., Karatepe, E.: ‘Transmission expansion planning for wind turbine integrated power systems considering contingency’, IEEE Trans. Power Syst., 2016, 31, (2), pp. 1476–1485 (doi: 10.1109/TPWRS.2015.2433393).
-
13)
-
38. Park, H., Baldick, R.: ‘Transmission planning under uncertainties of wind and load: sequential approximation approach’, IEEE Trans. Power Syst., 2013, 28, (3), pp. 2395–2402 (doi: 10.1109/TPWRS.2013.2251481).
-
14)
-
21. Munoz, C., Sauma, E., Contreras, J., Aguado, J., de La Torre, S.: ‘Impact of high wind power penetration on transmission network expansion planning’, IET Gener. Transm. Distrib., 2012, 6, (12), pp. 1281–1291 (doi: 10.1049/iet-gtd.2011.0552).
-
15)
-
11. Villumsen, J.C., Bronmo, G., Philpott, A.B.: ‘Line capacity expansion and transmission switching in power systems with large-scale wind power’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 731–739 (doi: 10.1109/TPWRS.2012.2224143).
-
16)
-
13. Mahdavi, M., Monsef, H., Romero, R.: ‘Reliability and economic effects of maintenance on TNEP considering line loading and repair’, IEEE Trans. Power Syst., 2016, 31, (5), pp. 3381–3393 (doi: 10.1109/TPWRS.2015.2487322).
-
17)
-
2. Sharan, I., Balasubramanian, R.: ‘Integrated generation and transmission expansion planning including power and fuel transportation constraints’, Energy Policy, 2012, 43, pp. 275–284 (doi: 10.1016/j.enpol.2012.01.004).
-
18)
-
5. Etemadi, A.H., Fotuhi-Firuzabad, M.: ‘Distribution systems reliability enhancement using optimal capacitor placement’, IET Gener. Transm. Distrib., 2008, 2, (5), pp. 621–631 (doi: 10.1049/iet-gtd:20070515).
-
19)
-
17. Shayeghi, H., Mahdavi, M.: ‘Genetic algorithm based studying of bundle lines effect on network losses in transmission network expansion planning’, J. Elect. Eng., 2009, 60, (5), pp. 237–245.
-
20)
-
24. Subcommittee, P.: ‘IEEE reliability test system’, IEEE Trans. Power Appar. Syst., 1979, PAS-98, (6), pp. 2047–2054 (doi: 10.1109/TPAS.1979.319398).
-
21)
-
7. Moeini-Aghtaie, M., Abbaspour, A., Fotuhi-Firuzabad, M.: ‘Incorporating large-scale distant wind farms in probabilistic transmission expansion planning – part I: theory and algorithm’, IEEE Trans. Power Syst., 2012, 27, (3), pp. 1585–1593 (doi: 10.1109/TPWRS.2011.2182363).
-
22)
-
16. Zhang, F., Hu, Z., Song, Y.: ‘Stochastic scenario-based model and investigating size of energy storages for pem-fuel cell unit commitment of micro-grid considering profitable strategies’, IET Gener. Transm. Distrib., 2013, 7, (8), pp. 919–928 (doi: 10.1049/iet-gtd.2012.0666).
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