A smart grid integration platform developed for monitoring and management of energy systems

Ozbuber, Serdar; Bağrıyanık, Mustafa

doi:10.1109/sgcf.2015.7354919

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…Communications One-way Two-way [5] Power generation Centralized generation Decentralized/distributed generation [6,7] Control methods Manual control Automatic control and recovery [10][11][12] Monitoring system Manual monitoring Automatic monitoring [13,14] Sensors required for monitoring and control No/fewer sensors Large numbers of sensors for monitoring and control [15][16][17] Response to emergencies Slow response Fast response…”

Section: Parameters Conventional Grid Smart Gridmentioning

confidence: 99%

An Extensive Critique on Smart Grid Technologies: Recent Advancements, Key Challenges, and Future Directions

et al. 2023

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Given the various aspects of climate change and the growing demand for energy, energy efficiency and environmental protection have become major concerns worldwide. If not taken care of, energy demand will become unmanageable due to technological growth in cities and nations. The solution to the global energy crisis could be an advanced two-way digital power flow system that is capable of self-healing, interoperability, and predicting conditions under various uncertainties and is equipped with cyber protections against malicious attacks. The smart grid enables the integration of renewable energy sources such as solar, wind, and energy storage into the grid. Therefore, the perception of the smart grid and the weight given to it by researchers and policymakers are of utmost importance. In this paper, the studies of many researchers on smart grids are examined in detail. Based on the literature review, various principles of smart grids, the development of smart grids, functionality of smart grids, technologies of smart grids with their characteristics, communication of smart grids, problems in the implementation of smart grids, and possible future studies proposed by various researchers have been presented.

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Section: Parameters Conventional Grid Smart Gridmentioning

confidence: 99%

An Extensive Critique on Smart Grid Technologies: Recent Advancements, Key Challenges, and Future Directions

et al. 2023

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“…With the application of communication and information technology, smart energy management and control platform (SEMCP) is then being gradually developed [12]. Taking advantage of advanced energy Internet, big data, Internet of things, cloud service platform and artificial intelligence technology, the SEMCP can effectively break the information barriers that exist in the process of traditional energy supply and deployment, realize the intelligent management of regional energy supply and demand, and thus meet the requirements of green, low-carbon, safe, efficient, and sustainable development of the IES [13,14]. In practice, the SEMCP can not only optimize the energy scheduling strategy, but also improve the efficiency of energy management such as water, electricity and gas for energy suppliers, as well as provide better energy use services for users.…”

Section: The Development Of the Integrated Energy Systemmentioning

confidence: 99%

Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

et al. 2021

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Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform. Firstly, a comprehensive evaluation criteria system including economy, energy, environment, technology and service is established. The evaluation criteria system is divided into quantitative criteria denoted by interval numbers and qualitative criteria. Secondly, single-valued neutrosophic numbers are adopted to denote the qualitative criteria in the evaluation criteria system. Thirdly, in order to accommodate mixed data types consisting of both interval numbers and single-valued neutrosophic numbers, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is extended into a three-stage technique by introducing a fusion coefficient μ. Then, a real case in China is evaluated through applying the proposed method. Furthermore, a comprehensive discussion is made to analyze the evaluation result and verify the reliability and stability of the method. In short, this study provides a useful tool for the energy supplier to evaluate and select a preferred IES construction scheme.

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“…Monitoring electrical infrastructures represents a fundamental activity for ensuring the continuity of operation of any industrial, commercial, or domestic activity. Concepts such as quality and stability of the electricity service have become central themes for the study and development of smart grids, opening new perspectives in the field of scientific research [1,2].…”

Section: Introductionmentioning

confidence: 99%

Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables

et al. 2020

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A smart monitoring system capable of detecting and classifying the health conditions of MV (Medium Voltage) underground cables is presented in this work. Using the analysis technique proposed here, it is possible to prevent the occurrence of catastrophic failures in medium voltage underground lines, for which it is generally difficult to realize maintenance operations and carry out punctual inspections. This prognostic method is based on Frequency Response Analysis (FRA) and can be used online during normal network operation, resulting in a minimally invasive tool. In order to obtain the good results shown in the simulation section, it is necessary to develop a lamped equivalent circuit of the network branch under consideration. The standard π-model is used in this paper to analyse sections of a medium voltage cable and the parameter variations with temperature are used to classify the state of health of the line. In fact, the variation of the electrical parameters produces a corresponding variation in the frequency response. The proposed system is based on the use of a complex neural network with feedforward architecture. It processes the frequency response, allowing the classification of the cable conditions with an accuracy higher than 90%.

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A smart grid integration platform developed for monitoring and management of energy systems

Cited by 5 publications

References 5 publications

An Extensive Critique on Smart Grid Technologies: Recent Advancements, Key Challenges, and Future Directions

An Extensive Critique on Smart Grid Technologies: Recent Advancements, Key Challenges, and Future Directions

Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables

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