This paper is concerned about the impact of network parameter errors on the reliable operation and management of electricity markets. Specifically, the paper investigates the so-called critical parameters in a network model whose errors cannot be detected or estimated due to the lack of local measurement redundancy. Due to this property of critical parameters, it will be impossible to detect, identify and correct errors in these parameters. Given the fact that electricity market applications are heavily model-dependent, the locational marginal prices (LMPs) can be shown to be seriously distorted in the presence of critical parameter errors. Furthermore, if such errors are maliciously injected by adversaries, they will go undetected. Meanwhile, prices and revenues associated with power transactions may be strategically manipulated. An approach for quantifying the impact of critical parameters on the management of electricity markets is proposed. Conditions related to network topology and measurement configuration leading to the appearance of critical parameters are classified, and meter placement strategies for avoiding critical parameters are presented as well. Simulation results obtained by using IEEE test systems are given to verify the proposed analysis and design methods.

中文翻译：

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状态估计中存在关键模型参数的安全市场运作

本文关注网络参数错误对电力市场可靠运行和管理的影响。具体来说，本文研究了网络模型中的所谓关键参数，由于缺少本地测量冗余，因此无法检测或估计错误。由于关键参数的这种特性，将不可能检测，识别和纠正这些参数中的错误。鉴于电力市场的应用严重依赖于模型这一事实，在存在关键参数错误的情况下，可以证明地区边际电价（LMP）严重失真。此外，如果此类错误被对手恶意注入，它们将不会被发现。同时，与电力交易相关的价格和收益可以被策略性地操纵。提出了一种量化关键参数对电力市场管理影响的方法。对与导致关键参数出现的网络拓扑和测量配置有关的条件进行了分类，并提出了避免关键参数的仪表放置策略。给出了使用IEEE测试系统获得的仿真结果，以验证所提出的分析和设计方法。