Resilience assessment of active distribution systems considering microgrid formation based on grid‐edge DERs

Huang, Yidong; Rong, Xuanman; Li, Gengfeng; Chen, Chen; Bie, Zhaohong

doi:10.1049/gtd2.12865

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…To address the challenges facing the construction of new power systems and the seasonal imbalances between renewable energy and demand [6], and to mitigate the drastic fluctuations in electricity prices and occurrences of power rationing, several measures need to be taken [7,8]. On the one hand, it is essential to strategically plan for flexible resources like energy storage, which exhibit temporal and spatial transfer characteristics, while also maintaining the adequate capacity of traditional energy generation [9,10].…”

Section: Introductionmentioning

confidence: 99%

Multi-Time-Scale Energy Storage Optimization Configuration for Power Balance in Distribution Systems

Lu,

Zhang,

Yang

et al. 2024

Electronics

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As the adoption of renewable energy sources grows, ensuring a stable power balance across various time frames has become a central challenge for modern power systems. In line with the “dual carbon” objectives and the seamless integration of renewable energy sources, harnessing the advantages of various energy storage resources and coordinating the operation of long-term and short-term storage have become pivotal directions for future energy storage deployment. To address the complexities arising from the coupling of different time scales in optimizing energy storage capacity, this paper proposes a method for energy storage planning that accounts for power imbalance risks across multiple time scales. Initially, the Seasonal and Trend decomposition using the Loess (STL) decomposition method is utilized to temporally decouple actual operational data. Subsequently, power balance computations are performed based on the obtained data at various time scales to optimize the allocation of different types of energy storage capacities and assess the associated imbalance risks. Finally, the effectiveness of the proposed approach is validated through hourly applications using real-world data from a province in southern China over recent years.

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Section: Introductionmentioning

confidence: 99%

Multi-Time-Scale Energy Storage Optimization Configuration for Power Balance in Distribution Systems

Lu,

Zhang,

Yang

et al. 2024

Electronics

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“…Moreover, the effectiveness of DER management plays a crucial role in guaranteeing efficient load supply and strengthening NMGs' resilience. DERs comprising wind turbines (WTs), photovoltaics (PVs), diesel generators (DGs), and energy storage technologies possess considerable potential to augment the technical efficiency and resilience of MGs [13,14]. These diverse DERs contribute to a diversified and robust energy portfolio, ensuring a more adaptive response to dynamic energy demands.…”

Section: Introductionmentioning

confidence: 99%

A Resilience-Oriented Approach for Microgrid Energy Management with Hydrogen Integration during Extreme Events

Sharifpour,

Ameli,

Ameli

et al. 2023

Energies

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This paper presents a resilience-oriented energy management approach (R-OEMA) designed to bolster the resilience of networked microgrids (NMGs) in the face of extreme events. The R-OEMA method strategically incorporates preventive scheduling techniques for hydrogen (H2) systems, renewable units, controllable distributed generators (DGs), and demand response programs (DRPs). It seeks to optimize the delicate balance between maximizing operating revenues and minimizing costs, catering to both normal and critical operational modes. The evaluation of the R-OEMA framework is conducted through numerical simulations on a test system comprising three microgrids (MGs). The simulations consider various disaster scenarios entailing the diverse durations of power outages. The results underscore the efficacy of the R-OEMA approach in augmenting NMG resilience and refining operational efficiency during extreme events. Specifically, the approach integrates hydrogen systems, demand response, and controllable DGs, orchestrating their collaborative operation with predictive insights. This ensures their preparedness for emergency operations in the event of disruptions, enabling the supply of critical loads to reach 82% in extreme disaster scenarios and 100% in milder scenarios. The proposed model is formulated as a mixed-integer linear programming (MILP) framework, seamlessly integrating predictive insights and pre-scheduling strategies. This novel approach contributes to advancing NMG resilience, as revealed by the outcomes of these simulations.

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

Zaporozhets,

Babak,

Kostenko

et al. 2024

Studies in Systems, Decision and Control

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Resilience assessment of active distribution systems considering microgrid formation based on grid‐edge DERs

Cited by 5 publications

References 33 publications

Multi-Time-Scale Energy Storage Optimization Configuration for Power Balance in Distribution Systems

Multi-Time-Scale Energy Storage Optimization Configuration for Power Balance in Distribution Systems

A Resilience-Oriented Approach for Microgrid Energy Management with Hydrogen Integration during Extreme Events

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

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