Power System Resilience: An Overview of Current Metrics and Assessment Criteria

Zaporozhets, Artur; Babak, Vitalii; Kostenko, Ganna; Zgurovets, Oleksandr; Denisov, Viktor; Nechaieva, Tetiana

doi:10.1007/978-3-031-68372-5_2

Studies in Systems, Decision and Control

2024

DOI: 10.1007/978-3-031-68372-5_2

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Power System Resilience: An Overview of Current Metrics and Assessment Criteria

Artur Zaporozhets,

Vitalii Babak,

Ganna Kostenko

et al.

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2024

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Cited by 2 publications

References 49 publications

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Modeling Nuclear-Centric Scenarios for Ukraine's Low-Carbon Energy Transition Using Diffusion and Regression Techniques

Denysov,

Kulyk,

Babak

et al. 2024

SSRN Journal

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Modeling Nuclear-Centric Scenarios for Ukraine's Low-Carbon Energy Transition Using Diffusion and Regression Techniques

Denysov,

Kulyk,

Babak

et al. 2024

SSRN Journal

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Modeling Nuclear-Centric Scenarios for Ukraine’s Low-Carbon Energy Transition Using Diffusion and Regression Techniques

Denysov,

Kulyk,

Babak

et al. 2024

Energies

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This study presents a mathematical model for forecasting the development of Ukraine’s Integrated Power System (IPS) until 2040, with a specific focus on the expansion of nuclear energy as a cornerstone of the nation’s low-carbon transition. The model is an extension of Frank Bass’s mixed influence diffusion model, incorporating both economic and technological factors. These factors are treated as stochastic variables essential for accurately predicting the evolution of an integrated energy system, particularly in the context of rapid renewable energy sources (RES) growth. The model employs regression techniques using generalized logistic curves, improving forecasting efficiency by aligning modeling parameters with experimental data. The study’s results indicate the potential for optimizing IPS components, including nuclear and thermal power generation, through the model’s application. The model is distinguished by its inclusion of economic and technological impacts, such as state matrices, control actions, and external influence matrices, which enhance the accuracy of simulations and predictions. The validation of the model, based on scenarios of electricity consumption and generation, shows significant alignment with observed trends, confirming the model’s reliability. The findings suggest that this model is an effective tool for developing and refining energy system scenarios, with nuclear energy playing a pivotal role in Ukraine’s sustainable energy future.

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Power System Resilience: An Overview of Current Metrics and Assessment Criteria

Cited by 2 publications

References 49 publications

Modeling Nuclear-Centric Scenarios for Ukraine's Low-Carbon Energy Transition Using Diffusion and Regression Techniques

Modeling Nuclear-Centric Scenarios for Ukraine's Low-Carbon Energy Transition Using Diffusion and Regression Techniques

Modeling Nuclear-Centric Scenarios for Ukraine’s Low-Carbon Energy Transition Using Diffusion and Regression Techniques

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