دانلود رایگان ترجمه مقاله کاربردهای محاسبات ابری برای شبکه هوشمند – IEEE 2013
دانلود رایگان مقاله انگلیسی نکاربردهای محاسبات ابری برای شبکه هوشمند : بررسی به همراه ترجمه فارسی
عنوان فارسی مقاله: | کاربردهای محاسبات ابری برای شبکه هوشمند : بررسی |
عنوان انگلیسی مقاله: | Cloud Computing Applications for Smart Grid: A Survey |
رشته های مرتبط: | مهندسی کامپیوتری، مهندسی برق و فناوری اطلاعات و ارتباطات، هوش مصنوعی، رایانش ابری یا محاسبات ابری، مهندسی کنترل، مهندسی الکترونیک، تولید، انتقال و توزیع، سوئیچ |
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نشریه | آی تریپل ای – IEEE |
کد محصول | f238 |
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بخشی از مقاله انگلیسی: ۱ INTRODUCTION A smart grid is conceptualized as a combination of electrical network and communication infrastructure. With the implementation of bidirectional communication and power flows, a smart grid is capable of delivering electricity more efficiently and reliably than the traditional power grid. A smart grid consists of a power network composed of intelligent nodes that can operate, communicate, and interact autonomously, in order to efficiently deliver electricity to the customers. This heterogeneity in architecture of a smart grid motivates the use of advanced technology for overcoming various technical challenges at different levels. Any smart grid infrastructure should support real-time, two-way communication between utilities and consumers, and should allow software systems at both the producer and consumer ends to control and manage the power usage [1]. To manage millions of smart meters, in secure, reliable and scalable ways, utilities must extend this communication network management system to a distributed data center. In this respect, cloud computing is envisaged to play key roles of motivation in the design of the future smart grid. Cloud computing is an emerging technology advocated for enabling convenient, on-demand network access to shared computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction [2], [3]. Using cloud infras- tructure, a customer can gain access to their applications anytime, from anywhere, through a connected device to the network. ۱٫۱ Motivation With the development of the state-of-the-art smart grid systems, it needs the support of bi-directional communication facility, and processing of the information in real-time as well. Additionally, energy demand from the users changes dynamically in different time-periods (such as on-peak, off-peak, and mid-peak), which in turn requires dynamic availability of the communication facility (such as bandwidth, processing units, and storage devices). Therefore, there is a need to integrate a common platform with the smart grid which is able to support the smart grid requirements as follows: a) Energy Management: The existing power grids need optimal balancing of electricity demand and supply between the customers and the utility providers [4]. Smart grids are capable of addressing this requirement. Such features in a smart grid is realized by the integration of various energy management systems such as home energy management (HEM), demand side management (DSM), and building energy management (BEMS) [5], [6]. A smart grid allows various renewable energy sources such as solar and wind to have efficient management of supply and demand. b) Need to support multiple devices in a common platform: In a smart grid environment, multiple devices are implemented. These multiple devices are home appliances, smart meters, micro-grids, substations, sensor nodes, and communication-network devices [7]. A suitable protocol architecture needs to be implemented to support these multiple devices in order to have reliable, and efficient electric supply. c) Information management: Information management is an important aspect in the smart grid architecture [8], [9]. In typical city environments, millions of smart meters are deployed in the distribution sites. These smart meters generate massive data for real-time communication with the utilities. A proper data management mechanism is necessary to be deployed for handling such massive data. d) Layered architecture: A smart grid is a combination of different layers — network, communication, electricity distribution, transmission, and generation [10]. The smart grid is expected to support the overlay communication network on the underlay electricity network. e) Heterogeneous architecture: The heterogeneous architecture is a special characteristic of a smart grid. Demand response, distributed generation, resource scheduling, and real-time pricing model contribute to the heterogeneity of a smart grid [11]. f) Security: Effective authentication and authorization techniques are required for the preservation of users’ privacy. Some security aspects in a smart grid are data outage, threat detection, and cyber-physical attacks [12], [13]. A proper privacy policy needs to be implemented to motivate customers’ participation [12], [14], [15]. On the other hand, cloud computing is a useful technique which can fulfill the requirements of the smart grid in real-time adequately, while having the following characteristics [16], [17]: • Optimized costs through online monitoring and control of all grid assets. • Providing necessary software applications to the users for supporting payment according to energy consumption. • Reduction in carbon emissions through grid access of large wind, hydro, and solar power plants [18]. • Active management of demand and supply curves. • Providing unlimited data storage for storing customer data. • Supporting customers with data access from the cloud. |