Improving Power Grid Resilience Under Extreme Weather Conditions With Proper Regulation and Management of DERs—Experiences Learned From the 2021 Texas Power Crisis

Pan, Weiqi; Li, Yang

doi:10.3389/fenrg.2022.921335

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…The initial step involves calculating the admittance matrix based on the power grid lines' data, incorporating resistance, reactance, and ground admittance. (6) where:…”

Section: X=ax+d or (I−a)x=dmentioning

confidence: 99%

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Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model

Aoun,

Adda,

Ilinca

et al. 2024

Energies

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Escalating events such as extreme weather conditions, geopolitical incidents, acts of war, cyberattacks, and the intermittence of renewable energy resources pose substantial challenges to the functionality of global electric grids. Consequently, research on enhancing the resilience of electric grids has become increasingly crucial. Concurrently, the decentralization of electric grids, driven by a heightened integration of distributed energy resources (DERs) and the imperative for decarbonization, has brought about significant transformations in grid topologies. These changes can profoundly impact flexibility, operability, and reliability. However, there is a lack of research on the impact of DERs on the electric grid’s resilience, as well as a simple model to simulate the impact of any disturbance on the grid. Hence, to analyze the electric grid’s resilience, this study employs an extrapolation of Leontief’s input–output (IO) model, originally designed to study ripple effects in economic sectors. Nodes are treated as industries, and power transmission between nodes is considered as the relationship between industries. Our research compares operability changes in centralized, partially decentralized, and fully decentralized grids under identical fault conditions. Using grid inoperability as a key performance indicator (KPI), this study tests the three grid configurations under two fault scenarios. The results confirm the efficacy of decentralization in enhancing the resilience and security of electric grids.

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“…The initial step involves calculating the admittance matrix based on the power grid lines' data, incorporating resistance, reactance, and ground admittance. (6) where:…”

Section: X=ax+d or (I−a)x=dmentioning

confidence: 99%

“…Conversely, decentralized approaches to grid resilience embrace near-edge solutions, including small-scale power generation and energy storage systems [6]. This decentralized architecture provides a heightened level of scalability, allowing for greater flexibility.…”

Section: Introductionmentioning

confidence: 99%

Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model

Aoun,

Adda,

Ilinca

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

“…For example, Texas experienced cold weather conditions in 2021, leading to the most significant load shedding in the state’s history. Forty states in the US have reported longer power outages due to destructive storms, and temperatures reaching up to 40 degrees in some southern provinces of China have increased the risk to power systems due to increased electricity demand [ 2 ]. In light of the growing challenges posed by extreme weather, the study of power system resilience has become increasingly critical.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Level Operation Method for Improving the Resilience of Power Systems under Extreme Weather through Preventive Control and a Virtual Oscillator

Li,

Zhang,

Han

et al. 2024

Sensors

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This paper proposes a multi-level operation method designed to enhance the resilience of power systems under extreme weather conditions by utilizing preventive control and virtual oscillator (VO) technology. Firstly, a novel model for predicting time intervals between successive failures of the power system during extreme weather is introduced. Based on this, this paper proposes a preventive control method considering the system ramping and transmission constraints prior to failures so as to ensure the normal electricity demand within the system. Further, a VO-based adaptive frequency control strategy is designed to accelerate the regulation speed and eliminate the frequency deviation. Finally, the control performance is comprehensively compared under different experimental conditions. The results verify that the method accurately predicted the time of the line fault occurrence, with a maximum error not exceeding 3 min compared to the actual occurrence; also, the virtual oscillator control (VOC) strategy outperformed traditional droop control in frequency stabilization, achieving stability within 2 s compared to the droop control’s continued fluctuations beyond 20 s. These results highlight VOC’s superior effectiveness in frequency stability and control in power systems.

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“…From 2008 to the present, Sichuan Province has been repeatedly shut down due to natural disasters, such as snowstorms, high winds, and earthquakes. Therefore, it is essential to assess the risk to transmission lines under different scenarios and take preventive measures to enhance the resilience and reliability of the power system [6,7]. A transmission line risk reliability assessment identifies, analyzes, and evaluates the potential disasters and consequences of transmission line failures [8].…”

Section: Introductionmentioning

confidence: 99%

Risk Reliability Assessment of Transmission Lines under Multiple Natural Disasters in Modern Power Systems

Fan,

Zeng,

Ming

et al. 2023

Energies

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Climate change has led to more frequent extreme weather events, and various natural disasters have posed risks to the operation of transmission lines. Line failures caused by natural disasters are unpredictable and bring additional maintenance work. Therefore, this paper proposes a transmission line risk reliability assessment method that considers the combined effects of multiple natural disasters. This method establishes a theory of disaster risk quantification that considers the probability of the occurrence of the risk, the degree of the impact of the risk on the line, and the severity of the risk disaster. The risk weights for different natural disasters are calculated by combining a hierarchical analysis and entropy weighting methods. The example of a transmission line risk assessment under the combined effects of multiple natural disasters for a Sichuan region verifies the proposed method’s effectiveness. The results show that the method effectively assesses the operational risk to transmission lines under the combined effects of natural disasters. The assessment results can be used for disaster recovery and line risk prevention.

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Improving Power Grid Resilience Under Extreme Weather Conditions With Proper Regulation and Management of DERs—Experiences Learned From the 2021 Texas Power Crisis

Cited by 3 publications

References 12 publications

Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model

Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model

A Multi-Level Operation Method for Improving the Resilience of Power Systems under Extreme Weather through Preventive Control and a Virtual Oscillator

Risk Reliability Assessment of Transmission Lines under Multiple Natural Disasters in Modern Power Systems

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