Portable wireless smart meter controlled by a smart phone for intelligent energy management

Author(s):  
Yongseong Jo ◽  
◽  
Kwangteak Kim ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anita Philips ◽  
Jayakumar Jayaraj ◽  
Josh F.T. ◽  
Venkateshkumar P.

Purpose Digitizing of the electrical power grid promotes the advantages of efficient energy management alongside the possibilities of major vulnerabilities. A typical inadequacy that needs critical attention to ensure the seamless operation of the smart grid system remains in the data transmission between consumer premises smart devices and the utility centres. Many researches aim at establishing security protocols to ensure secure and efficient energy management resulting in perfect demand–supply balance. Design/methodology/approach In this paper, the authentication of the smart meter data has been proposed with enhanced Rivest–Shamir–Adleman (RSA) key encryption using an efficient way of generating large prime numbers. The trapdoor one-way function applied in the RSA algorithm makes it almost impossible for the reverse engineering attempts of cracking the key pair. Findings The algorithm for generating prime numbers has been tested both with the convention method and with the enhanced method of including a low-level primality test with a first few hundred primes. The combination of low-level and high-level primality tests shows an improvement in execution time of the algorithm. Originality/value There is a considerable improvement in the time complexities when using the combination method. This efficient generation of prime numbers can be successfully applied to the smart meter systems, thereby increasing the strength and speed of the key encryption.


2020 ◽  
Vol 10 (11) ◽  
pp. 3665
Author(s):  
Nils Kroener ◽  
Kevin Förderer ◽  
Manuel Lösch ◽  
Hartmut Schmeck

The German Smart Meter Gateway (SMGW) infrastructure enables digital access to metering data and distributed energy resources by external parties. There are, however, various restrictions in order to guarantee the privacy of consumers, and strong security requirements. Furthermore, in the current state of development, there are still several challenges to overcome in order to implement demand side management (DSM) measures. In this paper, we present a prototype enabling DSM measures within the SMGW infrastructure, using the smart grid traffic light concept. The prototype implements an automated decentralized energy management system (EMS) that optimally controls an electric vehicle charging station. In the development of this prototype, we did not only evaluate five of the seven available SMGW devices, but also push the limits of the infrastructure itself. The experiments demonstrated the successful implementation of the intended DSM measure by the EMS. Even though there are technical guidelines standardizing the functionality of SMGWs, our evaluation shows that there are substantial differences between the individual SMGW devices.


2012 ◽  
Vol 562-564 ◽  
pp. 1767-1771
Author(s):  
Yu Chi Wu ◽  
Meng Jen Chen ◽  
Fu Hsiang Chi ◽  
Jin Yuan Lin ◽  
Chao Shu Chang

In this paper, an energy-measurement-IC-based digital power meter is developed with demand control function for residential electrical energy management through wireless Zigbee and Internet. Several developed micro-controller-based modules are incorporated into this residential energy management system for demand control, such as infrared-controller module, infrared-learning module, and infrared-controlled switch module. This system can send the measured electricity utilization data through Wireless Sensor Network (WSN) and Internet to the remote server. The user can also control at any time the loads (appliances) at home through any computer or smart phone that is connected to the Internet.


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