Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data

Ptacek, Michal; Vyčítal, Václav; Toman, Petr; Vaculik, Jan

doi:10.3390/en12224342

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…[143]. The estimation of different load models' parameters helps in load forecasting under future scenarios [144]. Different state estimation techniques have been investigated in the literature from the perspectives of load forecasting under different scenarios.…”

Section: Generation and Load Forecastingmentioning

confidence: 99%

Smart Distribution Mechanisms—Part I: From the Perspectives of Planning

et al. 2022

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To enhance the reliability and resilience of power systems and achieve reliable delivery of power to end users, smart distribution networks (SDNs) play a vital role. The conventional distribution network is transforming into an active one by incorporating a higher degree of automation. Replacing the traditional absence of manual actions, energy delivery is becoming increasingly dependent on intelligent active system management. As an emerging grid modernization concept, the smart grid addresses a wide range of economic and environmental concerns, especially by integrating a wide range of active technologies at distribution level. At the same time, these active technologies are causing a slew of technological problems in terms of power quality and stability. The development of such strategies and approaches that can improve SDN infrastructure in terms of planning, operation, and control has always been essential. As a result, a substantial number of studies have been conducted in these areas over the last 10–15 years. The current literature lacks a combined systematic analysis of the planning, operation, and control of SDN technologies. This paper conducts a systematic survey of the state-of-the-art advancements in SDN planning, operation, and control over the last 10 years. The reviewed literature is structured so that each SDN technology is discussed sequentially from the viewpoints of planning, operation, and then control. A comprehensive analysis of practical SND concepts across the globe is also presented in later sections. The key constraints and future research opportunities in the existing literature are discussed in the final part. This review specifically assists readers in comprehending current trends in SDN planning, operation, and control, as well as identifying the need for further research to contribute to the field.

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Section: Generation and Load Forecastingmentioning

confidence: 99%

Smart Distribution Mechanisms—Part I: From the Perspectives of Planning

et al. 2022

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“…M. Ptacek et al conducted an "Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data" [6] from a municipal distribution network (E.ON) based on long-term data from PQ monitors. The paper showed the lack of usability of data recorded by these instruments that come from transformers and exhibited new results from processing these big data.…”

Section: A Short Review Of the Contributions In This Issuementioning

confidence: 99%

Special Issue “Analysis for Power Quality Monitoring”

de-la-Rosa

Pérez-Donsión

2020

Energies

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We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. As a consequence, numerous emerging words are relevant to this point: Internet of Things (IoT), big data, smart cities, smart grid, industry 4.0, etc. To achieve this formidable goal, systems should work more efficiently, a fact that inevitably leads to power quality (PQ) assurance. Apart from its economic losses, a bad PQ implies serious risks for machines and, consequently, for people. Many researchers are endeavouring to develop new analysis techniques, instruments, measurement methods, and new indices and norms that match and fulfil the requirements regarding the current operation of the electrical network. This book, and its associated Special Issue, offer a compilation of some of the recent advances in this field. The chapters range from computing to technological implementation, going through event detection strategies and new indices and measurement methods that contribute significantly to the advance of PQ analysis and regulation. Experiments have been developed within the frameworks of research units and projects and deal with real data from industry practice and public buildings. Human beings have an unavoidable commitment to sustainability, which implies adapting PQ monitoring techniques to our dynamic world, defining a digital and smart concept of quality for electricity.

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“…In the field electrical protection, there is a great importance on the improvement of post-event fault location, which leads to a quicker restoration of the systems relay settings. Accuracy is also important in the area of simulation calculation due to improvement of power line modeling, such as state estimation or operation planning calculations [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Three-Phase and Single-Phase Measurement of Overhead Power Line Impedance Evaluation

et al. 2021

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Calculation and measurement of the overhead power lines electrical parameters is common practice in today’s electrical engineering industry; however, there is very little data to actually compare these two approaches because measured data in such detail are mostly unavailable for academic purposes. Based on the very detailed model of an overhead power line in MATLAB Simulink environment and conducted experimental measurement, this article specifically covers the exact evaluation of the impedance of the investigated overhead power line. Differences between calculation and experimental measurement are shown and discussed accordingly, where, surprisingly, the biggest deviation was observed in the positive resistance parameter. The connection between different measurement techniques (multiple single-phase and three-phase methods), as well as the power line asymmetry reflection in the impedance matrix is explained as well as compared to expected values from the computations. The complete mathematical approach for electrical parameters evaluation from different measurement methods is explained step-by-step, and the final equations are introduced for each method. Proposed methods of obtaining the electrical parameters of the power line are then concluded as the ones with great accuracy and wide usage in practical applications. It shows the great importance of correct input data for the electrical parameters’ theoretical computations and the need to know the measurement methodology and apparatus perfectly to process the measured data and interpret them correctly.

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Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data

Cited by 5 publications

References 37 publications

Smart Distribution Mechanisms—Part I: From the Perspectives of Planning

Smart Distribution Mechanisms—Part I: From the Perspectives of Planning

Special Issue “Analysis for Power Quality Monitoring”

Three-Phase and Single-Phase Measurement of Overhead Power Line Impedance Evaluation

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