Comparison between open-ring and closed-ring grids reliability

Wadi, Mohammed; Baysal, Mustafa; Shobole, Abdulfetah

doi:10.1109/iceee2.2017.7935836

Cited by 18 publications

(3 citation statements)

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“…For each feeder, these parameters were calculated separately, and the results were obtained. SAIDI, SAIFI, CAIDI, CIII, and ASAI indices are calculated for each feeder and shown in Table 2 [46].…”

Section: A Case-1 General Reliability Analysis Of the Systemmentioning

confidence: 99%

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Tür

2020

IEEE Access

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The main task of distribution systems is to provide acceptable reliability, economic and quality service of electrical power according to the demanded load value. To fulfill this task more accurately, the reliability performance of the distribution system can be performed and measured using a wide variety of indices, which are divided into energy indices and frequency/expectation indices. This study evaluates the reliability indices of a part of the distribution network selected as a model and deals with the selection of the most suitable feeder by connecting energy storage units to the busbars. Using IEEE Standard 1366 reliability indices, historical data from Prosperous Electricity Distribution Company (PEDC), which is used to evaluate reliability based on the 5-year past reliability assessment of the power system (RAPS), was selected. In addition, as an innovation in this application process, energy storage systems (ESS) have been evaluated according to four different network configurations (A-B-C-D) to increase RAPS and achieve more realistic results. Using DigSILENT, ESS-based configurations are designed, comparisons are made, and configuration B is the best result to increase system reliability and the 80E6 feeder is optimal. In addition, reliability changes achieved by network configuration have demonstrated the importance of optimal configuration planning to improve the uninterrupted and sustainable energy quality of the system based on storage technology. INDEX TERMS Energy storage, Monte Carlo methods, power distribution faults, power system control, power system reliability.

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Section: A Case-1 General Reliability Analysis Of the Systemmentioning

confidence: 99%

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Tür

2020

IEEE Access

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“…Conventionally overcurrent relay settings are provided based on the full load current of power system components. Load frequency control was based on many power control advanced concepts and the dynamic behavior of many industrial plants is heavily influenced DOI 10.1201/9781003221968-7 by disturbances and in particular, by changes in the operating point (M. Wadi, 2017). The problem of coordinating protective relays in power system networks consists of selecting their suitable settings such that their fundamental protective function is met under the requirements of sensitivity, selectivity, reliability, and speed.…”

Section: Introductionmentioning

confidence: 99%

Advances in Phytochemistry, Textile and Renewable Energy Research for Industrial Growth

Nzila¹,

Oluoch²,

Kiprop³

et al. 2022

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This book is an outcome from an international conference by the Africa Centre of Excellence in Phytochemicals, Textile and Renewable Energy (ACEII-PTRE); a World Bank funded project under the auspices of the Africa Centers of Excellence (ACE II) that seeks to contribute to addressing critical gaps in technical, scientific and research skills. The ACEII-PTRE aims at providing high quality training and research in the Eastern and Southern African region in Phytochemicals, Textile and Renewable energy. It seeks to build regional specialization by concentrating on postgraduate students and faculty, generating knowledge, developing skills to support industry and private sector demand, and to generate research for the betterment of the community and the region at large.Our aim in writing this book is to prepare a text which is comprehensive and a stimulating discourse on research for sustainable industrial growth. The context of the book is situated on the premise that the economic growth and industrial investments have boosted demand for greater technological skills and applied research in some of the priority economic sectors like Manufacturing, Agriculture, Energy, Health and others in many developing economies. Prior to Covid-19, many regions of the world experienced remarkable economic growth especially in the last decade. Outstanding skills and continuous vigorous research are therefore needed, particularly in Science, Technology, Engineering and Mathematics (STEM) so as to sustain the economic growth and transformation. However, there is a new global paradigm shift that seeks to consider STEAM instead of STEM -by adding the 'Arts' to the STEM since Arts play an important role in areas related to STEM. Notwithstanding, ethics in research is also a key area of focus in STEAM.The theme of the book: "Advancing Science, Technology and Innovation for Industrial Growth" and the thematic areas of Phytochemistry, Progressive Textiles, Transformative Industrialization, Renewable and Alternative Energy are relevant in realizing Sustainable Development Goals (SDGs), which is a universal call of action to end poverty, protect the planet and ensure people enjoy peace and prosperity by the year 2030. A better world requires an interdisciplinary approach, hence the incorporation of social science perspectives rendering this book a high-level academic discourse with cross-cutting disciplines.Advancing research and well-integrated national development strategies can help raise productivity, improve industrial competitiveness, support faster growth, create jobs and promote resilient communities. Therefore, leveraging on the research arena to advance industrial growth is a central goal of this book. The book captures various knowledge creation and development aspects through the presentation of case specific, basic and applied research and innovation from the perspective of multiple contributors. The text is presented in 42 short chapters which are organized in three sections. Section 1 of the book focuses on advances in Science, T...

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“…is deviation of voltage and current from nominal states is caused by human errors, environmental conditions, and equipment failures [4]. Furthermore, when an electrical fault occurs, it imposes excessively high current to flow across the network that may cause damage to devices and equipment [5]. erefore, an early and accurate fault detection is pivotal to prevent equipment damage, service interruption, and loss of human and animal lives [6].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Anomaly-Based Fault Detection System in Electrical Power Grids

Elmasry

Wadi

2022

International Transactions on Electrical Energy Systems

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Early and accurate fault detection in electrical power grids is a very essential research area because of its positive influence on network stability and customer satisfaction. Although many electrical fault detection techniques have been introduced during the past decade, the existence of an effective and robust fault detection system is still rare in real-world applications. Moreover, one of the main challenges that delays the progress in this direction is the severe lack of reliable data for system validation. Therefore, this paper proposes a novel anomaly-based electrical fault detection system which is consistent with the concept of faults in the electrical power grids. It benefits from two phases prior to training phase, namely, data preprocessing and pretraining. While the data preprocessing phase executes all elementary operations on the raw data, the pretraining phase selects the optimal hyperparameters of the model using a particle swarm optimization (PSO)-based algorithm. Furthermore, the one-class support vector machines (OC-SVMs) and the principal component analysis (PCA) anomaly-based detection models are exploited to validate the proposed system on the VSB dataset which is a modern and realistic electrical fault detection dataset. Finally, the results are thoroughly discussed using several quantitative and statistical analyses. The experimental results confirm the effectiveness of the proposed system in improving the detection of electrical faults.

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Comparison between open-ring and closed-ring grids reliability

Cited by 18 publications

References 10 publications

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Advances in Phytochemistry, Textile and Renewable Energy Research for Industrial Growth

Enhanced Anomaly-Based Fault Detection System in Electrical Power Grids

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