A new approach to retrofit plans for distributed energy resources to mitigate adverse impacts on bulk power systems stability

Mourinho, Fabricio Andrade; Assis, Tatiana M. L.

doi:10.1109/tla.2022.9675473

Cited by 5 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast, for the frequency-based IDM, the island was detected in 99 out of 100 cases. It is noteworthy that despite failing in one case, the probability of detecting islands still fell between one and the maximum probability as indicated in Equation (22). A notable increase in detection time was observed as the active and reactive power imbalances in the island approached zero.…”

Section: Entropy Surface Exploration Minimal Entropy Settings and Val...mentioning

confidence: 92%

“…However, to quantify it, the experiment would need to be redefined by adding more cases randomly taken from the test system, i.e., expanding the size of the datasets. Regardless, achieving minimum uncertainty ensures that the success probabilities will be between one and those indicated in Equation (22).…”

Section: Minimum Achievable Entropy For the Defined Datasetsmentioning

confidence: 99%

“…Some countries have undertaken expensive retrofit programs to reconfigure DER protection thresholds and thus mitigate their impact when disturbances occur in the power system [21,22]. It is evidently crucial to have a methodology that enables the identification of an optimal configuration for anti-islanding protection to ensure that the anti-islanding protection will operate correctly in the majority of possible cases, including EPS disturbances [23,24].…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

See 2 more Smart Citations

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Seguin Batadi,

Martínez,

Molina

2024

Energies

View full text Add to dashboard Cite

The risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, and devices. To mitigate this problem, anti-islanding protections are widely used to prevent the distributed generator from feeding a portion of the radial distribution grid when a protection device trips upstream. However, the effectiveness of these protections heavily relies on properly tuning protection setting thresholds (such as time delay and pickup). This work proposes a novel approach that utilizes entropy as a model and metric of the uncertainty associated with a particular protection setting. By minimizing entropy, the proposed method aims to improve stability and sensitivity, consequently improving the overall performance of anti-islanding protection. Simulation results demonstrate that the Bayesian entropy methodology (BEM) approach achieves enhanced stability in various scenarios, including frequency transients, and demonstrates a notable reduction in the size of the dataset and computational burden, ranging between 91% and 98%, when compared to related works, with an improvement of the uncertainty achieved. The findings of this study contribute to the development of more robust and reliable anti-islanding protections.

show abstract

Section: Entropy Surface Exploration Minimal Entropy Settings and Val...mentioning

confidence: 92%

Section: Minimum Achievable Entropy For the Defined Datasetsmentioning

confidence: 99%

Section: Introduction 1background and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Seguin Batadi,

Martínez,

Molina

2024

Energies

View full text Add to dashboard Cite

show abstract

“…This has led to a growing recognition in the industry of the need for a shift towards distributed transient simulation, which offers a more scalable and viable solution. This shift represents a significant evolution in simulation strategies, driven by the need to accommodate the complexities arising from integrating diverse energy sources and advanced technologies into contemporary power systems [9], [10]. Distributed transient simulation, characterized by its decentralized and parallel processing capabilities, addresses the scalability issues inherent in traditional methods.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Task Orchestration for Distributed Real-Time Electromagnetic Transient Simulation

Guo,

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Transient simulation in power engineering is crucial as it models the dynamic behavior of power systems during sudden events like faults or short circuits. Electromagnetic transient simulations involve multiple coordinated tasks. Traditional simulations are centralized and struggle to meet scalability requirements. To achieve these goals, distributed electromagnetic transient simulation has emerged as a new trend. Nevertheless, the distributed electromagnetic transient simulation introduces network communication. Achieving real-time simulation across distributed nodes poses the challenge of minimizing communication costs.In this paper, our proposal focuses on optimizing the task orchestration to reduce communication costs. Specifically, in the electromagnetic transient simulation, these tasks has certain communication pattern where the communicated objects of each task are pre-defined. We represent the pattern as a graph, with tasks represented as nodes and communications as edges. Furthermore, we propose to use graph partition with the objective of minimal communication costs and fine tune the partitions with the resource requirements of each distributed node. The experimental results demonstrate that our proposal has strength in reducing communication costs and achieving real-time simulation.

show abstract

“…Furthermore, appropriate controls for energy storage systems could compensate dynamic characteristics of AC CPLs and enhance system stability [27,28]. References [29,30] predict power system transient stability by incorporating power system dynamics into the data collection process through machine learning models. Although energy storage control techniques and characteristics have gained a lot of attention, few studies have derived quantitative design guidelines for energy storage systems from the aspect of stability improvement.…”

Section: Introductionmentioning

confidence: 99%

Stability Control Strategies for Bidirectional Energy Storage Converters Considering AC Constant Power Loads

et al. 2023

View full text Add to dashboard Cite

In islanded AC microgrids, negative impedance characteristics of AC constant power loads (AC CPLs) easily introduce large signal instability to the system, while energy storage systems sometimes compensate for the dynamic characteristics of AC CPLs, and increase the system stability. Although energy storage control techniques and characteristics have gained a lot of attention, few studies have derived quantitative design guidelines for energy storage systems from the aspect of stability improvement. In order to fill this gap, this paper proposes stability control strategies for bidirectional energy storage converters considering the characteristics of AC CPLs to guarantee large signal stability of islanded AC microgrids. The presented control techniques create quantitative limits for the DC bus voltage loop control parameters of the energy storage DC/DC converter and the integral control loop control parameter of the energy storage DC/AC converter, and also interpret the positive stability influence of energy storage systems and the negative stability influence of AC CPLs. The structure of the paper is as follows. Firstly, DQ coordinate transformation is adopted, and AC microgrid nonlinear models with the energy storage system in charging and discharging states are constructed. Then, large signal models are constructed depending on mixed potential theory. Stability control strategies for bidirectional energy storage converters are obtained, and AC CPLs power, storage system equivalent resistor, and micro power source power are all taken into account. Finally, based on simulation and experimental results, it is obvious that regulating the control parameters of the energy storage converter significantly increases the large signal stability of islanded AC microgrids without extra equipment. The method is very simple and easy to implement.

show abstract

A new approach to retrofit plans for distributed energy resources to mitigate adverse impacts on bulk power systems stability

Cited by 5 publications

References 0 publications

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

Optimizing Task Orchestration for Distributed Real-Time Electromagnetic Transient Simulation

Stability Control Strategies for Bidirectional Energy Storage Converters Considering AC Constant Power Loads

Contact Info

Product

Resources

About