Transmission Line Overload Risk Assessment Considering Dynamic Line Rating Mechanism in a High-Wind-Penetrated Power System: A Data-Driven Approach

Ding, Zhaohao; Kobayashi, Yu; Wang, Cheng; Lee, Wei-Jen

doi:10.1109/tste.2022.3151921

Cited by 17 publications

(7 citation statements)

References 26 publications

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“…Owing to the problems of environmental degradation and fossil fuel depletion, energy system transition has become inevitable [1][2][3][4][5]. In the context of energy transition, smart grids present the characteristics of having a high proportion of renewable energy, high proportion of power electronic device access, and electrification of terminal energy-using equipment, which increase the complexity and vulnerability of smart grids [6][7][8][9]10]. Therefore, extreme events, including natural disasters and security attacks, pose a significant threat to the safe and sta-electrical infrastructure, which is difficult to recover.…”

Section: Background and Motivationmentioning

confidence: 99%

Hydrogen‐powered smart grid resilience

Han

Wang

et al. 2023

Energy Conversion and Econom

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With an increasing frequency of natural disasters and security attacks, the safe and stable operation of smart grid has been challenged unprecedently. To reduce the economic loss and social impact caused by power outage accidents, it is urgent to develop and improve the smart grid technology, and strengthen the disaster resistance and recovery capability of smart grids when faced with extreme events. As an efficient and flexible secondary energy source, hydrogen is crucial in improving the resilience of smart grid and supporting energy security. To further promote the deep integration of hydrogen systems and smart grid and improve the energy system resilience, the resilience of smart grids supported by hydrogen is assessed in this study. First, a technical framework of hydrogen-powered smart grid resilience is established, and the value of hydrogen-powered smart grid resilience is analysed considering different time frames (before, during and after an extreme event) of smart grids facing extreme events. Then, hydrogen-powered smart grid resilience is investigated from perspectives of pre-prevention regulation, in-process correction regulation, and postrecovery regulation. Finally, future direction for hydrogen-powered smart grid resilience is investigated and related policy suggestions are provided.

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Section: Background and Motivationmentioning

confidence: 99%

Hydrogen‐powered smart grid resilience

Han

Wang

et al. 2023

Energy Conversion and Econom

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“…Equation ( 28) is the power flow limitation under different states. The emergence rates of transmission lines ΔP max i j are affected by the current, ambient temperature, and thermal dynamics [29,32].…”

Section: Transmission Line Constraintsmentioning

confidence: 99%

“…Equation () is the power flow limitation under different states. The emergence rates of transmission lines

\Delta P_{ij}^{\max }

are affected by the current, ambient temperature, and thermal dynamics [29, 32]. Remark

I_{ij,t}^{\omega } \nu _{\text{e},t}^{\omega }

in Equation () is a bilinear function, which results in the nonlinear recourse for the formulated problem.…”

Section: Proactive Resilient Unit Commitment Problem Formulationmentioning

confidence: 99%

Stochastic unit commitment for power systems with offshore wind farms towards frequency resiliency

Guo

Zhang

Zhao

et al. 2023

IET Renewable Power Gen

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To enhance the resilience of transmission systems with offshore wind farms before the advent of typhoons, a proactive unit commitment scheme is proposed. A novel scenario tree is proposed to quantify the uncertain impacts of typhoons on offshore wind farms, transmission lines, and system states, where the inertia support from offshore wind farms and random system state are in‐cooperated. The frequency security constraint is captured by a multi‐variative piece‐wise linear function, where the frequency nadir are simulated under varying inertia and disturbance combinations. The unit commitment problem is formulated as a two‐stage stochastic optimisation problem with nonlinear recourse. This problem is solved by a multi‐cuts Benders decomposition algorithm with finite iteration convergence property. Simulations are conducted on a modified IEEE‐RTS 79 test system with offshore wind farms. Results verify the effectiveness of the proposed model regarding the load shedding and frequency nadir enhancement.

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“…The uncertain set is a discrete variable, and the C&CG algorithm is chosen in this paper [26]. This kind of problem can be transformed into a main problem and a subproblem, and then solved iteratively [27].…”

Section: Model Transformation and Solutionmentioning

confidence: 99%

Distributionally Robust Unit Commitment with N-k Security Criterion and Operational Flexibility of CSP

Pei

Han

et al. 2022

Energies

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In order to reduce the conservatism of the robust optimization method and the complexity of the stochastic optimization method and to enhance the ability of power systems to deal with occasional line fault disturbance, this paper proposes a distributionally robust unit commitment (DRUC) model with concentrating solar power (CSP) operational flexibility and N-k safety criterion under distributed uncertainty. According to the limited historical sample data, under the condition of satisfying a certain confidence level, based on the imprecise Dirichlet model (IDM), an ambiguity set is constructed to describe the uncertainty of transmission line fault probability. Through the identification of the worst probability distribution in the ambiguity set, the adaptive robust optimal scheduling problem is transformed into a two-stage robust optimization decision model under the condition of deterministic probability distribution. The CSP flexibility column and constraint generation (C&CG) algorithm is used to process the model and the main problem and subproblem are solved by using the Big-M method, linearization technique, and duality principle. Then, a mixed integer linear programming problem (MILP) model is obtained, which effectively reduces the difficulty of solving the model. Finally, case studies on the IEEE 14 bus system and the IEEE 118 bus system demonstrate the efficiency of the proposed method, such as enhancing the ability of power systems to cope with occasional line fault disturbances and reducing the conservatism of the robust optimization method.

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Transmission Line Overload Risk Assessment Considering Dynamic Line Rating Mechanism in a High-Wind-Penetrated Power System: A Data-Driven Approach

Cited by 17 publications

References 26 publications

Hydrogen‐powered smart grid resilience

Hydrogen‐powered smart grid resilience

Stochastic unit commitment for power systems with offshore wind farms towards frequency resiliency

Distributionally Robust Unit Commitment with N-k Security Criterion and Operational Flexibility of CSP

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