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Stability of Transactive Energy Market-Based Power Distribution System Under Data Integrity Attack

机译:数据完整性攻击下基于可交易能源市场的配电系统的稳定性

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Future smart power distribution system with multiple active consumers and aggregators exchanging real-time electricity pricing and electricity consumption information over a communication network is prone to cyberattack. The goal of this paper is to understand the impact of attacks on pricing/load signals on the physical grid within a transactive energy market framework. First, this paper models the interaction between real-time electricity price and total energy demand in the form of a discrete time nonlinear autonomous dynamical system. Second, equilibrium electricity price and energy demand associated with this coupled dynamical system is derived and conditions for bounded input bounded output (BIBO) stability are identified. Third, a BIBO stable algorithm to design real-time electricity pricing scheme from a techno-economic perspective is developed. Finally, the impact of various levels of false data injection (FDI) attack on price of electricity, demand, and distribution system voltage is investigated. The proposed model is analyzed using simulations on the IEEE 69-bus test system and the impact of FDI attack on both electricity price/demand and distribution grid voltage is quantified. This paper shows that impact of FDI attack on electricity prices is more severe than an attack on electricity demand.
机译:具有多个活跃用户和聚合器的未来智能配电系统,通过通信网络交换实时电价和用电信息,很容易受到网络攻击。本文的目的是了解交易对能源市场框架内物理电网上价格/负荷信号的攻击所产生的影响。首先,本文以离散时间非线性自治动力系统的形式对实时电价与总能源需求之间的相互作用进行建模。其次,得出与此耦合动力系统相关的均衡电价和能源需求,并确定有界输入有界输出(BIBO)稳定性的条件。第三,从技术经济角度出发,开发了一种BIBO稳定算法来设计实时电价方案。最后,研究了各种级别的错误数据注入(FDI)攻击对电价,需求和配电系统电压的影响。在IEEE 69总线测试系统上使用仿真对提出的模型进行了分析,并量化了FDI攻击对电价/需求和配电网电压的影响。本文表明,外国直接投资攻击对电价的影响比对电力需求的影响更为严重。

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