Risk-Based Admissibility Assessment of Wind Generation Integrated into a Bulk Power System

Abstract

The increasing integration of large-scale volatile and uncertain wind generation has brought great challenges to power system operations. In this paper, a risk-based admissibility assessment approach is proposed to quantitatively evaluate how much wind generation can be accommodated by the bulk power system under a given unit commitment (UC) strategy. Firstly, the operational risk brought by the variation and uncertainty of wind generation is developed as an admissibility measure of wind generation. Then its linear approximation is derived for practical implementation. Furthermore, a risk-minimization model is established to mathematically characterize the admissible region of wind generation. This model can be solved effectively by a modified column and constraint generation (C&CG) algorithm. Simulations on the IEEE 9-bus system and the real Guangdong power grid demonstrate the effectiveness and efficiency of the proposed methodology.

11 pages

Cited by in corpus (9)

• Data-Driven Dispatchable Regions with Potentially Active Boundaries for Renewable Power Generation: Concept and Construction
• Flexibility Characterization of Sustainable Power Systems in Demand Space: A Data-Driven Inverse Optimization Approach
• Robust Risk-Constrained Unit Commitment with Large-scale Wind Generation: An Adjustable Uncertainty Set Approach
• Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation
• An Adjustable Chance-Constrained Approach for Flexible Ramping Capacity Allocation
• Risk-Based Distributionally Robust Optimal Power Flow With Dynamic Line Rating
• Distributionally Robust Co-Optimization of Power Dispatch and Do-Not-Exceed Limits
• Grid-side Flexibility of Power Systems in Integrating Large-scale Renewable Generations: A Critical Review on Concepts, Formulations and Solution Approaches
• A Multi-model Combination Approach for Probabilistic Wind Power Forecasting