Load State Transition Curve Based Unit Commitment for Production Cost Modeling With Wind Power

The production cost modeling (PCM) plays an important role in the mid/long-term power system planning. With the increasing penetration of renewable power, it becomes solving a series of unit commitment (UC) problems for time periods up to one or multiple years. This process is greatly challenged by the UC solution efficiency which hinders its practical use. In this paper, a fast UC method is proposed based on the load state transition curve (LSTC). Firstly, LSTC is proposed and obtained via load clustering. It simplifies the load model as well as maintains the necessary temporal characteristics. Secondly, the LSTC based UC model is developed by accommodating the constraint formulation to LSTC. Compared with the conventional ones, the scale of LSTC-based UC is dramatically reduced. The stochastic and volatile wind power is also taken into consideration. The case studies on the modified IEEE-RTS 1979 have verified the validity and feasibility of the proposed method in which the solution time is reduced from similar to 300s to similar to 12s with the cost error lower than 0.2%. It provides an efficient tool for the optimal planning and operation of large-scale power systems.

Automated summary

This paper proposes a fast UC method based on LSTC, which reduces the scale of UC and solution time by load clustering and constraint adjustment, considering the stochastic nature of wind power. The validity and feasibility of this method are verified in practical case studies, providing an efficient tool for the planning and operation of large-scale power systems.