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Digitalizing Smart Cities Through Artificial Intelligence
Fahim Ali,Atif Ali,Hina Naseem,Syed Hassan Raza,Mafia Rasheed 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
The growth rate of construction is increasing every year. The sustainable development of territories is becoming a problematic field for solving the strategic tasks of urban development; however, at the same time, the requirements for the standard of living, the safety of citizens, and the adaptability of tasks to the fast pace of urban life and a favorable environmental situation are also increasing. In addition, digitalization is rapidly penetrating all spheres of human life and can become the key to solving problems related to urban infrastructure development. The development and digitalization of regions require a special approach. During the study, artificial intelligence technologies are considered the central link in managing the digital processes of smart cities an analysis is made of experiences in implementing the concept of a smart city in life and the chains of interconnection between artificial intelligence technologies and relevant digital achievements of smart cities. Such an approach will form the main vector of the city design movement, where each person will feel safe and comfortable. The environmental situation against the background of intelligent systems will be protected from the negative anthropological factor.
Formal Reliability Analyses of Power Line Communication Networkbased Control in Smart Grid
Riaz Uddin,Syed Atif Naseem,Zafar Iqbal 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12
Communication network is one of the primary elements of the Smart Grid for sending and receiving the bi-directional flows of important information such as load flow, faults, etc., in a reliable and efficient way. In this regard, G3-Power Line Communication (PLC) network is the most ideal preference over wireless or wired communication technology due to low cost, high throughput and better reliability for the distribution network of Smart Grid. This fact motivated us to study and analyze in detail the accuracy and reliability of the flow of information of the PLC network in terms of probabilities especially for Fault Detection, Isolation and Supply Restoration (FDIR) behavior in the distribution system of Smart Grid through formal analyses. In order to perform the analyses, first we develop the Markovian model of the FDIR behavior with (G3-PLC) in the distribution network of Smart Grid of the practical intelligent distribution network system case study, and then formally verify the model via probabilistic model checker (PRISM) tool in order to analyze the system accuracy, efficiency, and reliability by developing the logical properties and finding the success/failure probabilities for the FDIR mechanism at the occurrence of faults. Finally, some important discussions are made comparing FDIR connected with Ethernet communication network against FDIR connected with the PLC network.
Riaz Uddin,Ali S. Alghamdi,Muhammad Hammad Uddin,Ahmed Bilal Awan,Syed Atif Naseem 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.6
The fault diagnosis and control through fault detection, isolation and supply restoration (FDIR) technique is the part of a commonly used distribution management system application in smart grid. When the fault occurs, it becomes essential to detect and isolate the faulty section of the distribution network at once and then restore back to its running condition through tie switches. The communication between IEDs is done through diferent communication mediums such as Ethernet, wireless, power line communication etc. Therefore, formal analysis of the FDIR mechanism is required with communication network (ideally Ethernet), which helps us to predict the behavior of FDIR response upon the occurrence of fault in terms of various important probabilities, reliability study and efciency (showing the system will work properly). In this regard, for the above said analyses, this article discusses (a) the development of the Markovian model of FDIR for distribution network of smart grid considering Tianjin Electric Power Network as case study with intelligent electronic devices (IEDs) using ideal communication medium (Ethernet); (b) utilized probabilistic model checker (PRISM tool) to predict the probabilities; (c) perform the reliability analyses and (d) study the efciency of FDIR behavior for future grid using logical properties. The detailed analysis and prediction (done for the fault occurrence scenario) mainly focus in determining the (1) the probability of switching failures of FDIR in smart grid; (2) the probability of isolating the defective switch from the system within limited time and (3) the probability of restoring the system automatically within the minimum possible interval.