Title :
Hybrid AC/DC Transmission Expansion Planning
Author :
Lotfjou, Azim ; Fu, Yong ; Shahidehpour, Mohammad
Author_Institution :
Genscape Inc., Boston, MA, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
This paper proposes a hybrid algorithm for the ac/dc transmission expansion planning (TEP). The stochastic simulation method would consider random outages of generating units and ac/dc transmission lines as well as load forecast errors. The mixed-integer linear programming problem is decomposed into a master planning problem with integer investment decision variables and subproblems which examine the feasibility of master planning solution and calculate the optimal operation schedule over the planning horizon. The independent system operator would utilize the proposed method to select the optimal set of ac/dc transmission lines for satisfying TEP criteria: supplying load forecasts, minimizing investment costs, and optimizing market operations. The proposed set of dc transmission system may use either current source converters or voltage source converters. Numerical examples illustrate the effectiveness of the proposed TEP model.
Keywords :
DC power transmission; integer programming; load forecasting; minimisation; power convertors; power transmission lines; power transmission planning; stochastic processes; AC-DC transmission lines; current source converters; generating units; hybrid AC-DC TEP; hybrid AC-DC transmission expansion planning; independent system operator; integer investment decision variables; investment cost minimization; load forecast errors; master planning problem; mixed-integer linear programming problem; optimal operation schedule; planning horizon; random outages; stochastic simulation method; voltage source converters; ISO; Indexes; Investments; Load modeling; Planning; Power system reliability; Reliability; DC transmission lines; optimal system operation; reliability; transmission expansion planning;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2012.2194515