Real-Time Effective Reserve Capacity of Transmission Grid Evaluation Method Considering Uncertainty of Load and Renewable Energy

This paper proposes a method for effective reserve capacity evaluation of transmission grids considering the uncertainty of load/renewable energy. The concept of critical equilibrium state (CES) is introduced, and the effective/ineffective reserve capacity and the critical lines are defined afterward. The effective reserve capacity evaluation problem is modeled as a linear program with the objective of maximizing nodal power stretching and constraints of power balance, unit operational limits, and transmission limits, which can be solved efficiently by a linear programming solver. Numerical tests on a real-world provincial grid show the effectiveness of the proposed model.

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Published
2024-12-27
DOI
https://doi.org/10.1109/cepgt64143.2024.11064800
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Real-Time Effective Reserve Capacity of Transmission Grid Evaluation Method Considering Uncertainty of Load and Renewable Energy

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article

Real-Time Effective Reserve Capacity of Transmission Grid Evaluation Method Considering Uncertainty of Load and Renewable Energy

Xiangyang Zhou, Yunhui Shi, Wenduo Sun, Xiang Su, Guan‐Jun Yang, Wei Zhang, Zhixiong Zhang, Wenda Zan
article en
1 citations

Abstract

This paper proposes a method for effective reserve capacity evaluation of transmission grids considering the uncertainty of load/renewable energy. The concept of critical equilibrium state (CES) is introduced, and the effective/ineffective reserve capacity and the critical lines are defined afterward. The effective reserve capacity evaluation problem is modeled as a linear program with the objective of maximizing nodal power stretching and constraints of power balance, unit operational limits, and transmission limits, which can be solved efficiently by a linear programming solver. Numerical tests on a real-world provincial grid show the effectiveness of the proposed model.

State Grid Corporation of China (China) (CN), NARI Group (China) (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Power Systems and Renewable Energy
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