Operational resilience metrics for power systems with penetration of renewable resources

Author:

Gui Jianzhong1,Lei Hangtian1ORCID,McJunkin Timothy R.2,Chen Bo3ORCID,Johnson Brian K.1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering University of Idaho Moscow Idaho USA

2. Idaho National Laboratory Idaho Falls Idaho USA

3. Commonwealth Edison (ComEd) Company Oakbrook Terrace Illinois USA

Abstract

AbstractModern power grid is evolving towards carbon neutrality by deploying increasing amount of renewable energy resources. However, the impact of renewable generation on power system planning and operation is not sufficiently investigated, especially the capability of renewable penetrated power systems to resist and recover from major disturbances, which is a critical concern for system operators. Novel metrics and evaluation methodologies are needed to depict systems’ ability in response to events caused by natural disasters, and quantitatively evaluate system performance in various time scales. In this paper, operational resilience metrics are proposed for power systems with penetration of renewable energy resources based on transient stability principles. A systematic methodology is proposed to quantitatively assess the evolution of system performance during various stages of the disaster process. Based on the proposed metrics, a resilience‐oriented disaster management strategy is designed and validated using the modified IEEE 39‐bus test system. The simulation results demonstrate the validity of the proposed metrics and strategy, and show that the system resilience is enhanced during the mitigation of fault conditions.

Funder

Idaho National Laboratory

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Evaluative Framework for Regional Vulnerability and Power System Resilience Against Earthquakes: A Case Study of Charleston County, South Carolina;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

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