scholarly journals Adaptive stochastic energy flow balancing in smart grid

Author(s):  
Hassan Shirzeh ◽  
Fazel Naghdy ◽  
Philip Ciufo ◽  
Montserrat Ros
Keyword(s):  
2018 ◽  
Vol 8 (11) ◽  
pp. 2278 ◽  
Author(s):  
Martin Schvarcbacher ◽  
Katarína Hrabovská ◽  
Bruno Rossi ◽  
Tomáš Pitner

The Smart Grid (SG) is nowadays an essential part of modern society, providing two-way energy flow and smart services between providers and customers. The main drawback is the SG complexity, with an SG composed of multiple layers, with devices and components that have to communicate, integrate, and cooperate as a unified system. Such complexity brings challenges for ensuring proper reliability, resilience, availability, integration, and security of the overall infrastructure. In this paper, we introduce a new smart grid testing management platform (herein called SGTMP) for executing real-time hardware-in-the-loop SG tests and experiments that can simplify the testing process in the context of interconnected SG devices. We discuss the context of usage, the system architecture, the interactive web-based interface, the provided API, and the integration with co-simulations frameworks to provide virtualized environments for testing. Furthermore, we present one main scenario about the stress-testing of SG devices that can showcase the applicability of the platform.


Author(s):  
Tinton Dwi Atmaja ◽  
Dian Andriani ◽  
Rudi Darussalam

Smart Grid is an advanced two way data and energy flow capable of self-healing, adaptive, resilient, and sustainable with prediction capability of possible fault. This article aimed to disclose Smart Grid communication in a logical way to facilitate the understanding of each component function. The study was focused on the improvement, advantages, common used design, and possible feature of Smart Grid communication components. The results of the study divide the Smart Grid communication application into two main category i.e. measurement equipment and network architecture. Measurement equipment consists of Advance Metering Infrastructure, Phasor Measurement Unit, Intelligent Electronic Devices, and Wide Area Measurement System. The network architecture is divided based on three hierarchies; local area network for 1 to 100 m with 100 kbps data rate, neighbour area network for 100 m to 10 km with 100 Mbps data rate, and wide area network for up to 100 km with 1 Gbps data rate. More information is provided regarding the routing protocol for each network from various available protocols. The final section presents the energy and data flow architecture for Smart Grid implementation based on the measurement equipment and the network suitability. This article is expected to provide a comprehensive guide and comparison surrounding the technologies supporting Smart Grid implementation especially on communication applications.


Author(s):  
Sorin Deleanu ◽  
Marilena Stanculescu ◽  
Dragos Niculae ◽  
Paul Cristian Andrei ◽  
Lavinia Bobaru ◽  
...  

2016 ◽  
Vol 839 ◽  
pp. 107-113
Author(s):  
Yodthong Mensin ◽  
Wattanapong Rakwichian ◽  
Worajit Setthapun ◽  
Somchai Chokmaviroj

An innovative software has been developed to measure and identify energy flow for multiple loads and sources like Grid and or other renewables. Algorithms have been developed to indicate status of energy used within a building unit and the Smart Gird as a whole. The software is developed on the AngularJS bases in the model-view-controller (MVC) platform using PHP language and MySQL is used as database for recording the data. The results of this research can support Electricity Generating Authority of Thailand (EGAT) for future grid planning and can be helpful for adaptive forcasting in connection with the consumption and generation. In the future, this software could be applied to improve the functions of energy management system (EMS) in the homes, buildings, and offices.


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