Robust transmission system expansion considering planning uncertainties

被引:48
作者
Alizadeh, Behnam [1 ]
Dehghan, Shahab [1 ]
Amjady, Nima [2 ]
Jadid, Shahram [1 ]
Kazemi, Ahad [1 ]
机构
[1] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran
[2] Semnan Univ, Dept Elect Engn, Semnan, Iran
关键词
costing; IEEE standards; integer programming; linear programming; power transmission economics; power transmission lines; power transmission planning; robust transmission system expansion planning uncertainty; investment cost estimation; transmission line; electricity demand forecasting; long-term planning horizon; TEP approach; renovated mixed integer linear programming formulation; linear modelling technique; robust optimisation methodology; Garver 6-bus test system; IEEE 30-bus test system; IEEE 118-bus test system; LOAD;
D O I
10.1049/iet-gtd.2012.0137
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a novel approach for transmission expansion planning (TEP) addressing the inherent uncertainties associated with the estimated investment costs of candidate transmission lines and the forecasted electricity demands during long-term planning horizon. The proposed TEP approach employs a renovated mixed integer linear programming formulation holding the optimality and low computation burden of linear modelling techniques. The above mentioned uncertainties are encountered through robust optimisation methodology enabling the system's planner to assess different levels of uncertainty and conservation throughout planning horizon. The proposed robust TEP procedure is successfully applied to Garver 6-bus, IEEE 30-bus and IEEE 118-bus test systems. Simulation results demonstrate that the uncertainty level of investment costs and electricity demands escalates the total expansion costs based on the scale of power system.
引用
收藏
页码:1318 / 1331
页数:14
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