Secure Real-Time Monitoring and Management of Smart Distribution Grid Using Shared Cellular Networks
Electricity production and distribution is facing two major changes. First, production is shifting from classical energy sources such as coal and nuclear power toward renewable resources such as solar and wind. Second, consumption in the low voltage grid is expected to grow significantly due to the expected introduction of electrical vehicles. The first step toward more efficient operational capabilities is to introduce an observability of the distribution system and allow for leveraging the flexibility of end connection points with manageable consumption, generation, and storage capabilities. Thanks to advanced measurement devices, management framework, and secure communication infrastructure developed in the FP7 SUNSEED project, the distribution system operator (DSO) now has full observability of the energy flows in the medium/low voltage grid. Furthermore, the prosumers are able to participate pro-actively and coordinate with the DSO and other stakeholders in the grid. The monitoring and management functionalities have strong requirements for communication latency, reliability, and security. This article presents novel solutions and analyses of these aspects for the SUNSEED scenario, where smart grid ICT solutions are pr
Phaser measurements estimation on distribution networks using machine learning
The uptake of distribution generation on electricity distribution networks imposes the operators to install new measurement devices such as phasor measurement units to achieve network observability. In this paper, we propose a framework for estimating synchronized phasor measurements for a virtual node using the measurements from the other nodes in the network. This system uses a machine learning method, in particular supervised regression models, to provide estimates. We show the performance of the proposed framework comparing two widely used regression methods i.e., Generalized Linear Models and Artificial Neural Networks. We extensively evaluate the proposed approach utilizing a real-world dataset collected from a medium voltage ring feeder. Our results indicate very low error rates; the average error for voltage magnitude was approx. 0.2V while for phase angle was 0.7mrad. Such low errors indicate the potential for reducing the scale of the measuring infrastructure required on distribution networks and increasing their reliability.
Smart Grid Communications and Networking: Smart grid and wide-area networks
Part I. Communication Architectures and Models for Smart Grid: 1. Communication networks in smart grid: an architectural view Nipendra Kayastha, Dusit Niyato, Ping Wang and Ekram Hossain 2. New models for networked control in smart grid Anna Scaglione, Zhifang Wang and Mahnoosh Alizadeh 3. Demand-side management for smart grid: opportunities and challenges Pedram Samadi, Hamed Mohsenian-Rad, Vincent W. S. Wong and Robert Schober 4. Vehicle-to-grid systems: ancillary services and communications Chenye Wu, Amir-Hamed Mohsenian-Rad and Jianwei Huang Part II. Physical Data Communications, Access, Detection, and Estimation Techniques for Smart Grid: 5. Communications and access technologies for smart grid Sara Bavarian and Lutz Lampe 6. Machine-to-machine communications in smart grid Jesus Alonso-Zarate, Javier Matamoros, David Gregoratti and Mischa Dohler 7. Bad-data detection in smart grid: a distributed approach Le Xie, Dae-Hyun Choi, Soummya Kar and H. Vincent Poor 8. Distributed state-estimation: a learning-based framework Ali Tajer, Soummya Kar and H. Vincent Poor Part III. Smart Grid and Wide-Area Networks: 9. Networking technologies for wide-area measurement applications Yi Deng, Hua Lin, Arun G. Phadke, Sandeep Shukla and James S. Thorp 10. Wireless networks for smart grid applications David Grifith, Michael Souryal and Nada Golmie Part IV. Sensor and Actuator Networks for Smart Grid: 11. Wireless sensor networks for smart grid: research challenges and potential applications Dilan Sahin, Vehbi Cagri Gungor, Gerhard Hancke and Gerhard P. Hancke 12. Sensor techniques and network protocols for smart grid Rong Zheng and Cunqing Hua 13. Potential methods for sensor and actuator networking for smart grid Victor O. K. Li and Guang-Hua Yang 14. Implementation and performance evaluation of wireless sensor networks for smart grid Nicola Bui, Angelo P. Castellani, Paolo Casari, Michele Rossi, Lorenzo Vangelista and Michele Zorzi Part V. Security in Smart Grid Communications and Networking: 15. Cyber-attack impact analysis of smart grid Deepa Kundur, Salman Mashayehk, Takis Zourntos and Karen Butler-Purry 16. Jamming for manipulating the power market in smart grid Husheng Li 17. Power-system state-estimation security: attacks and protection schemes Gyorgy Dan, Kin Cheong Sou and Henrik Sandberg 18. A hierarchical security architecture for smart grid Quanyan Zhu and Tamer Basar 19. Application-driven design for a secured smart grid Robin Berthier, Rakesh Bobba, Erich Heine, Himanshu Khurana, William H. Sanders and Tim Yardley Part VI. Field Trials and Deployments: 20. Case studies and lessons learned from recent smart grid field trials Rose Qingyang Hu and Yi Qian.