Topic
Smart grid
About: Smart grid is a research topic. Over the lifetime, 37536 publications have been published within this topic receiving 627844 citations. The topic is also known as: intelligent grid.
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TL;DR: An overview of smart grids and of electricity use in the industrial sector is provided and several smart grid technologies are outlined, and automated demand response is discussed in some detail.
174 citations
TL;DR: This paper presents an ac/dc hybrid smart power system that has advantages of both dc and ac grids and is verified by numerical simulation results.
Abstract: Recently, smart grids are attracting attention. Already, a smart grid based on an AC grid is proposed. However, no study on research is presented or published on a smart grid based on a dc grid. This paper presents an ac/dc hybrid smart power system. The proposed system has advantages of both dc and ac grids. The proposed power system consists of a wind generator and several controllable loads. The controllable loads have different capacities. Therefore, by applying power consumption control with the droop characteristic, the dc bus voltage is maintained within the acceptable range. As controllable loads, electric water heater and electric vehicle are assumed. Effectiveness of the proposed method is verified by numerical simulation results.
174 citations
Enel1
TL;DR: An approach based on sensitivity theory is shown to control the node voltages regulating the reactive power injected by the generators, and it is shown that a better voltage profile can be obtained.
Abstract: The widespread use of distributed generation (DG), which is installed in medium-voltage distribution networks, impacts the future development of modern electrical systems that must evolve towards smart grids. A fundamental topic for smart grids is automatic distributed voltage control (ADVC). The voltage is now regulated at the MV busbar acting on the on-load tap changer of the HV/MV transformer. This method does not guarantee the correct voltage value in the network nodes when the distributed generators deliver their power. In contrast, the ADVC allows control of the voltage acting on a single generator; therefore, a better voltage profile can be obtained. In this paper, an approach based on sensitivity theory is shown to control the node voltages regulating the reactive power injected by the generators. After the theoretical analysis, a numerical example is presented to validate the theory. The proposed voltage regulation method has been developed in collaboration with Enel Distribuzione S.p.A. (the major Italian DSO), and it will be applied in the Smart Grids POI-P3 pilot project, which is financed by the Italian Economic Development Ministry. Before the real field application in the pilot project, a real-time digital simulation has been used to validate the algorithm presented. Moving in this direction, Enel Distribuzione S.p.A. built a new test center in Milan equipped with a real-time digital simulator (from RTDS Technologies).
174 citations
Book•
24 May 2012
TL;DR: In this article, the authors present a hierarchical security architecture for smart grid communications and network protocols for wide-area measurement applications based on a learning-based framework and a distributed approach for bad-data detection in smart grid.
Abstract: 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 Gyoergy 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.
174 citations
TL;DR: This article introduces a unified framework for the estimation of instantaneous frequency in both balanced and unbalanced conditions in a three-phase system, thus consolidating the existing approaches and providing next-generation solutions capable of joint adaptive frequency estimation and system fault identification.
Abstract: Accurate estimation of system frequency in real time is a prerequisite for the future smart grid, where the generation, loading, and topology will all be dynamically updated. In this article, we introduce a unified framework for the estimation of instantaneous frequency in both balanced and unbalanced conditions in a three-phase system, thus consolidating the existing approaches and providing next-generation solutions capable of joint adaptive frequency estimation and system fault identification. This is achieved by employing recent developments in the statistics of complex variables (augmented statistics) and the associated widely linear models, allowing us to benefit from a rigorous account of varying degrees of noncircularity corresponding to different sources of frequency variations. The advantages of such an approach are illustrated for both balanced and unbalanced conditions, including voltage sags, harmonics and supply-demand mismatch, all major obstacles for accurate frequency estimation in the smart grid.
173 citations