Study on Leveraging Wind Farm Reactive Power Potential for Uncertain Power System Reactive Power Optimization
Yu Zhou, Zhengshuo Li

TL;DR
This paper introduces a robust method to evaluate and utilize wind farm reactive power potential, enhancing power system security and efficiency amid uncertainties in renewable generation and loads.
Contribution
It proposes a two-stage robust linear optimization approach for evaluating wind farm reactive power potential and integrates it into system-wide reactive power optimization under uncertainty.
Findings
Wind farms can reliably provide significant reactive power even under uncertainty.
Leveraging wind farm reactive power improves system security and operational optimality.
The method is validated through case studies demonstrating effectiveness.
Abstract
This paper suggests leveraging reactive power potential (RPP) embedded in wind farms to improve power system operational safety and optimality. First, three typical RPP provision approaches are analyzed and a two-stage robust linear optimization based RPP evaluation method is proposed. This approach yields an RPP range that ensures the security of wind farm operations under any realization of uncertainty regarding the wind farm. Simplified DistFlow equations are employed here for a compromise between computational accuracy and cost. Next, an uncertain RPP-involved reactive power optimization problem is introduced, through which system operators ensure system-wide security and optimality regarding the base case and against any possible deviation caused by uncertain lumped loads and renewable generation. Steady-state models of automatic generation control and local voltage control are…
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Taxonomy
TopicsPower Systems and Renewable Energy · High-Voltage Power Transmission Systems · Smart Grid and Power Systems
