Probabilistic decomposition‐based security constrained transmission expansion planning incorporating distributed series reactor
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Blanco G., 2011, Real option valuation of facts investments based on the least square Monte Carlo method, IEEE Trans. Power Syst., 26, 1389, 10.1109/TPWRS.2010.2094211
Li J., 2018, Robust coordinated transmission and generation expansion planning considering ramping requirements and construction periods, IEEE Trans. Power Syst., 33, 268, 10.1109/TPWRS.2017.2687318
Zhang X., 2017, Security constrained multi‐stage transmission expansion planning considering a continuously variable series reactor, IEEE Trans. Power Syst., 32, 4442, 10.1109/TPWRS.2017.2671786
Omran S.: ‘Control Applications and Economic Evaluations of Distributed Series Reactors in Unbalanced Electrical Transmission Systems’. PhD thesis Electrical Engineering Department Virginia Tech 2015
Rahimi K. Jain H. Broadwater R.: ‘Application of distributed series reactors in relieving congestion costs’.2016 IEEE/PES Transmission and Distribution Conf. and Exposition (T & D) Dallas TX USA 2016 pp.1–5
Rahimi K. Jain H. Broadwater R. et al.: ‘Application of distributed series reactors in voltage balancing’.2015 IEEE Power Energy Society General Meeting Denver CO USA 2015 pp.1–5
Chatthaworn R., 2015, Improving method of robust transmission network expansion planning considering intermittent renewable energy generation and loads, IET Gener. Transm. Distrib., 9, 1621, 10.1049/iet-gtd.2015.0363
Cong H., 2018, Robust optimization for improving resilience of integrated energy systems with electricity and natural gas infrastructures, J. Mod. Power Syst. Clean Energy, 6, 1066, 10.1007/s40565-018-0377-5
Qiu J., 2015, A low‐carbon oriented probabilistic approach for transmission expansion planning, J. Mod. Power Syst. Clean Energy, 3, 14, 10.1007/s40565-015-0105-3
Wenyuan L., 2014, Risk assessment of power systems: models, methods, and applications
Christie R., 2000, Power systems test case archive
‘IEEE 118 Bus Test System’. Available athttp://motor.ece.iit.edu/Data
G.D. Corporation: ‘General Algebraic Modeling System (GAMS) Release 24.2.1’ 2013 Washington DC USA. Available athttp://www.gams.com/