Suppr超能文献

基于斯塔克尔伯格博弈模型和能源区块链的安全可靠需求响应

Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain.

作者信息

Samadi Mikhak, Ruj Sushmita, Schriemer Henry, Erol-Kantarci Melike

机构信息

School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia.

出版信息

Sensors (Basel). 2023 Oct 10;23(20):8352. doi: 10.3390/s23208352.

Abstract

Demand response (DR) has been studied widely in the smart grid literature, however, there is still a significant gap in approaches that address security, privacy, and robustness of settlement processes simultaneously. The need for security and robustness emerges as a vital property, as Internet of Things (IoT) devices become part of the smart grid; in the form of smart meters, home energy management systems (HEMSs), intelligent transformers, and so on. In this paper, we use energy blockchain to secure energy transactions among customers and the utility. In addition, we formulate a mixed-strategy stochastic game model to address uncertainties in DR contributions of agents and achieve optimal demand response decisions. This model utilizes the processing hardware of customers for block mining, stores customer DR agreements as distributed ledgers, and offers a smart contract and consensus algorithm for energy transaction validation. We use a real dataset of residential demand profiles and photovoltaic (PV) generation to validate the performance of the proposed scheme. The results show the impact of electric vehicle (EV) discharging and customer demand reduction on increasing the probability of successful block mining and improving customer profits. Moreover, the results demonstrate the security and robustness of our consensus algorithm for detecting malicious activities.

摘要

需求响应(DR)在智能电网文献中已得到广泛研究,然而,在同时解决结算过程的安全性、隐私性和鲁棒性的方法方面仍存在显著差距。随着物联网(IoT)设备以智能电表、家庭能源管理系统(HEMS)、智能变压器等形式成为智能电网的一部分,安全性和鲁棒性的需求成为一项至关重要的特性。在本文中,我们使用能源区块链来保障客户与公用事业公司之间的能源交易安全。此外,我们制定了一个混合策略随机博弈模型,以应对代理的需求响应贡献中的不确定性,并实现最优的需求响应决策。该模型利用客户的处理硬件进行区块挖掘,将客户的需求响应协议存储为分布式账本,并为能源交易验证提供智能合约和共识算法。我们使用住宅需求曲线和光伏发电的真实数据集来验证所提方案的性能。结果表明了电动汽车(EV)放电和客户需求减少对提高成功区块挖掘概率和改善客户利润的影响。此外,结果证明了我们用于检测恶意活动的共识算法的安全性和鲁棒性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验