Abstract
The inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper proposes a multi-time scale coordinated scheduling model with DPFC to minimize wind power spillage. Configuration of DPFCs is initially determined by stochastic method. Afterward, two sequential procedures containing day-head and real-time scales are applied for determining maximum schedulable wind sources, optimal outputs of generating units and operation setting of DPFCs. The generating plan is obtained initially in day-ahead scheduling stage and modified in real-time scheduling model, while considering the uncertainty of wind power and fast operation of DPFC. Numerical simulation results in IEEE-RTS79 system illustrate that wind power is maximum scheduled with the optimal deployment and operation of DPFC, which confirms the applicability and effectiveness of the proposed method.
Highlights
In future power systems, the share of wind power in the total generation portfolio is expected to have a substantial increase, due to the energy crisis and excessive CO2 emission around the world.the inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch
If the line system currentoperators is slightlyconsidering larger thanthe thethermal maximum acceptable level or which determined by transmission constraints, transient staticis determined by transmission system operators considering the thermal constraints, transient or static determined by atransmission system operators the thermal constraints, transient or static stability limits, distributed power flow controller (DPFC) is controlled to operateconsidering in series reactance mode and the single turnturn transformer (STT)
This paper proposes a multi-time scale scheduling methodology with DPFCs in system with
Summary
The share of wind power in the total generation portfolio is expected to have a substantial increase, due to the energy crisis and excessive CO2 emission around the world. In [21], an optimal power flow model with FACTS devices based on a two-stage stochastic programming is proposed to minimize wind curtailment and determine the setting points of devices; the optimal locations and capacity of FACTS are not evaluated. In [22], a day-ahead operation planning model with Static Var Compensators (SVCs) and Thyristor Controlled Series Compensators (TCSCs) based on the probabilistic method is investigated for the best utilization of wind power, but the effect of wind power prediction error on optimal results is not taken into account. An optimal coordinated scheduling model containing day-ahead and real-time scales is proposed to reduce wind power spillage considering the fast operation of DPFCs. The rest of this paper is organized as follows.
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