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Über dieses Buch

This brief focuses on the current research on security and privacy preservation in smart grids. Along with a review of the existing works, this brief includes fundamental system models, possible frameworks, useful performance, and future research directions. It explores privacy preservation demand response with adaptive key evolution, secure and efficient Merkle tree based authentication, and fine-grained keywords comparison in the smart grid auction market. By examining the current and potential security and privacy threats, the author equips readers to understand the developing issues in smart grids. The brief is designed for researchers and professionals working with computer communication networks and smart grids. Graduate students interested in networks and communication engineering will also find the brief an essential resource.



Chapter 1. Introduction to Smart Grids

Lack of effective real-time diagnosis and healing, the traditional power grid is sporadically suffering from failures and blackouts. For example, on August 14, 2003, power system outage affected large portions of the north eastern U.S. and Canada, which ultimately caused a $6 billion loss in economic revenue [1]. Recently, smart grids have emerged as a promising solution to the next generation power grid system 2]. It utilizes information and communications technology to gather and act on information, such as the behavior of suppliers and consumers in an automated fashion to improve the reliability, efficiency, economics, and sustainability of the generation and distribution of electricity [3].

Hongwei Li

Chapter 2. Privacy-Preserving Demand Response in Smart Grids

Recently, smart grids have attracted increasing attention [1–4]. Compared with the traditional power grid, smart grids are featured with many attractive characteristics, e.g., self-monitoring, self-healing, remote check, pervasive control and more customer choices [5–8]. One appealing feature of smart grids is demand response (DR), which can assist users to use energy efficiently and transfer non-emergent power demand from on-peak time to off-peak time [9]. DR can also bring various benefits to users. For example, users can reduce their electricity expenditure by matching the operation time of different electric appliances in their places to the period with the cheapest price.

Hongwei Li

Chapter 3. An Efficient Authentication Scheme in Smart Grids

Smart grids utilize information and communications technology to gather and act on information, such as information about the behavior of suppliers and consumers, in an automated fashion to improve the reliability, efficiency, economics, and sustainability of the generation and distribution of electricity [1, 2]. Smart grids are expected to be the next generation of power systems. In the traditional power grid, the architecture is featured with one-way electrical flows, i.e., electricity utility only delivers power to the consumers. In addition to the one-way electrical flows, smart grids also provide an attractive feature, i.e., two-way information flow communication. As depicted in Fig. 3.1, parallel to the one-way power flows, two-way information flows sharing is also implemented. In the two-way information flows sharing, the neighborhood gateway can collect electricity consumption reports from the customers via a wireless connection. Then, the neighborhood gateway sends the electricity reports to the control center via a wired link with high bandwidth and low delay. Based on the statistics and analysis of the above electricity reports, the control center can further convey the real-time pricing information to customers for their lower electricity bills, or send the control information to flatten demand peak [3, 4].

Hongwei Li

Chapter 4. An Efficient Fine-Grained Keywords Comparison Scheme in the Smart Grid Auction Market

With the increasing requirements of electricity consumption and the wide application of renewable energy sources, the traditional power grid cannot sustain the development trend. It is restructured to more intelligent power systems called smart grids [1, 2]. Smart grids mainly consist of several parts: generator(s), transmission system operator, distributor(s), retailer(s) and aggregator(s) [3]. Many technologies have been introduced into smart grids to ensure their availability and economic benefits [4]. For instance, the energy auction market introduces commercial auctions to smart grids, where energy sellers publish their auction information, and then energy buyers bid for appropriate energy supplies. Thus, the energy auction market can adjust energy prices and provide strong support for the practical application of smart grids [5].

Hongwei Li

Chapter 5. Conclusions and Future Directions

The objective of this book is to present the state-of-the-art solutions to secure and privacy-preserving communications in smart grids.

Hongwei Li
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