Abstract

Smart metering systems in distribution networks provide near real-time, two-way information exchange between end users and utilities, enabling many advanced smart grid technologies. However, the fine grained real-time data as well as the various market functionalities also pose great risks to customer privacy. In this work we propose a secure multi-party computation (SMC) based privacy preserving smart metering system. Using the proposed SMC protocol, a utility is able to perform advanced market based demand management algorithms without knowing the actual values of private end user consumption and configuration data. Using homomorphic encryption, billing is secure and verifiable. We implemented a demonstration system that includes a graphical user interface and simulates real-world network communication of the proposed SMC-enabled smart meters. The demonstration shows the feasibility of our proposed privacy preserving protocol for advanced smart grid technologies which includes load management and retail level electricity market support.

Highlights

  • Smart meter systems utilize two way communication enabling utilities to receive end user consumption data and send pricing or control signals back to end user at a near real time rate (i.e. 15 mins) [1]

  • We build upon our previous work in [12], we propose a secure multiparty computation based privacy preserving framework for more advanced smart metering system applications including real time pricing, retail level marketing, and verifiable billing

  • Various forms of real time pricing such as time-of-use price, tiered-price at retail level can be viewed as simplified versions of the demand-supply based market clearing price (MCP)

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Summary

INTRODUCTION

Smart meter systems utilize two way communication enabling utilities to receive end user consumption data and send pricing or control signals back to end user at a near real time rate (i.e. 15 mins) [1]. Various proposed smart meter based load management methods such as real time pricing, retail level electricity market can have more complicated market or control algorithms and require very detailed user consumption or configuration data [6], which make the privacy preserving an even more difficult task. In order to fully enable the advantages of smart meter system and address its privacy concern, we believe an ideal privacy preserving protocol should meet the following requirements: 1) fully protect the user’s privacy, 2) without sacrificing the data for actual smart grid applications, 3) has a verification mechanism, and 4) without using a third party. We build upon our previous work in [12], we propose a secure multiparty computation based privacy preserving framework for more advanced smart metering system applications including real time pricing, retail level marketing, and verifiable billing.

Secure Multiparty Computation
Homomorphic Encryption and SMC
SMC Primitive Example
SMC Software Framework
SMC BASED LOCAL ELECTRICITY RETAIL MARKET
Market Clearing Based Retail Level Electricity Market
SMC Based Privacy Preserving Design
Network
Billing and Verification
User interface
CONCLUSION
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