Day-Ahead Wind Power Admissibility Assessment of Power Systems Considering Frequency Constraints

Abstract

Accurately assessing power systems’ ability to accommodate wind power is an important basis for systems to participate in the day-ahead wind power market and make reasonable trading plans. However, existing assessment methods do not consider frequency security of systems, which leads to frequency security issues during the execution process of trading results. This paper proposes an assessment method for day-ahead wind power admissibility (DWPA) of power systems considering frequency constraints (FCs). First, a FCs model is established through the oscillation equation of frequency deviation dynamics after system disturbances, and embedded in the assessment of day-ahead DWPA. Then, a robust feasible region definition for wind power output is proposed, and a system operation risk model is developed based on it. Finally, based on the two-stage robust optimization theory, an overall assessment model for the DWPA of power systems considering FCs is proposed, and the column-and-constraint generation algorithm is used to solve the problem. The effectiveness of the proposed method was verified through simulations conducted on the IEEE 9-bus and 118-bus power systems. The results emphasized the importance of taking FCs into account and the enthusiasm of wind farms to provide virtual inertia.