Multi-scenario robust transmission planning considering correlation between wind power and load demand

Increasing penetration of wind farms into the power systems has injected more uncertainties into the transmission planning and using uncertain theory to manage uncertainties has already been a focus that attracts many scholars' attention. Traditional multi-scenario method is easy to take into consideration the correlation between wind power and load demand, while this approach has problem to control robustness of planning scheme. This paper presents multi-scenario robust transmission planning model considering correlation between wind power and load demand. Compared with each scenario denoting a fixed operational value in the traditional multi-scenario model, this proposed approach using an uncertain set to represent a scenario. The robustness of planning scheme can be adjusted through the budget of uncertainty when the number of operational scenarios is given. There is no doubt that this proposed method has more flexibility and adaptability than traditional multi-scenario ones. The CCG ( column-and-constraint ) algorithm is introduced to obtain the optimal solution. The planning model has been implemented on the modified Garver 6-bus and IEEE RTS 24-bus systems and simulation results demonstrate the correctness and efficiency of the proposed approach.