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Privacy-preserving and secure schemes for energy storage unit communication in the future smart grid

机译：未来智能电网中储能单元通信的隐私保护和安全方案

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摘要

The future smart grid will enable plug-in electric vehicles (PEVs) and homes to have energy storage units (ESU) that can store the excess power generated from renewable energy sources and sell it to the grid during the peak hours. This process, however, requires the utility company to be able to communicate with the ESUs.;One of the major challenges of PEV deployment is their large-scale simultaneous charging which may stress the power grid and lead to blackout in severe cases. To prevent such situations, optimal charging coordination should be employed. However, optimization schemes require the PEVs to report private information such as the vehicle's location, the parking duration, the battery state-of-charge, etc. To tackle the privacy concerns in power injection and power charging, we propose two schemes in this thesis; 1) A secure and privacy-preserving power injection querying scheme by exploiting the already available Advanced Metering Infrastructure (AMI) and Long-Term Evolution (LTE) cellular networks and 2) A privacy-aware communication scheme for charging coordination for PEVs.;The main idea of the rst scheme is based on collecting power injection bids from storage units and sending their aggregated value to the utility, rather than the individual bids, in order to preserve user privacy. We also develop a bilinear pairing based technique to enable the utility company to ensure the integrity and authenticity of the aggregated bids without accessing the individual bids. We implemented the proposed scheme in an integrated AMI/LTE network using the ns-3 network simulator. Our evaluations have demonstrated that the proposed scheme is secure and can protect user privacy with acceptable communication and computation overhead.;In the second scheme, anonymization and permutation techniques are used to preserve vehicles' anonymity. A temporal charging coordination scheme is then proposed based on a modied knapsack problem formulation in order to maximize the amount of power delivered to the PEVs before they leave the system without exceeding the available maximum charging capacity. Our results demonstrate that both the optimal charging coordination scheme based on the modied knapsack formulation and the privacy-aware charging coordination scheme exhibit an improved performance compared to a rst- come-rst-serve charging coordination benchmark.
机译：未来的智能电网将使插电式电动汽车（PEV）和房屋拥有能量存储单元（ESU），该能量存储单元可以存储可再生能源产生的多余电力，并在高峰时段将其出售给电网。但是，此过程需要公用事业公司与ESU进行通信。PEV部署的主要挑战之一是它们的大规模同时充电可能会给电网造成压力，并在严重的情况下导致停电。为避免这种情况，应采用最佳充电协调。但是，优化方案要求PEV上报私人信息，例如车辆的位置，停车时间，电池的充电状态等。为解决电力注入和充电中的隐私问题，我们提出了两种方案; 1）通过利用已经可用的高级计量基础架构（AMI）和长期演进（LTE）蜂窝网络的安全和隐私保护功率注入查询方案; 2）用于PEV充电协调的隐私保护通信方案。第一种方案的主要思想是基于从存储单元收集电力注入投标并将其总价值发送给公用事业公司，而不是将各个投标发送给公用事业公司，以保护用户隐私。我们还开发了一种基于双线性配对的技术，以使公用事业公司能够确保汇总投标的完整性和真实性，而无需访问单个投标。我们使用ns-3网络模拟器在集成的AMI / LTE网络中实现了该方案。我们的评估表明，该方案是安全的，并且可以通过可接受的通信和计算开销保护用户隐私。在第二种方案中，匿名化和置换技术用于保留车辆的匿名性。然后基于改进的背负式问题提出了临时充电协调方案，以便在PEV离开系统之前最大化输送到PEV的功率，而不会超出可用的最大充电容量。我们的结果表明，与“先到先得”计费协调基准相比，基于改进的背包公式的最佳计费协调方案和具有隐私意识的计费协调方案均表现出更高的性能。

著录项

  • 作者

    Akula, Prem Kumar.;

  • 作者单位

    Tennessee Technological University.;

  • 授予单位 Tennessee Technological University.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 85 p.
  • 总页数 85
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地下建筑;
  • 关键词

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