Browsing by Author "Guzman E., Noela Sofia"

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    Frequency Regulation Model of Bulk Power Systems With Energy Storage
    (Institute of Electrical and Electronics Engineers (IEEE), 2021-08-30) Guzman E., Noela Sofia; Canizares, Claudio A.; Bhattacharya, Kankar; Sohm, Daniel
    This paper presents a Frequency Regulation (FR) model of a large interconnected power system including Energy Storage Systems (ESSs) such as Battery Energy Storage Systems (BESSs) and Flywheel Energy Storage Systems (FESSs), considering all relevant stages in the frequency control process. Communication delays are considered in the transmission of the signals in the FR control loop and ESSs, and their State of Charge (SoC) management model is considered. The system, ESSs and SoC components are modelled in detail from a FR perspective. The model is validated using real system and ESSs data, based on a practical transient stability model of the North American Eastern Interconnection (NAEI), and the results show that the proposed model accurately represents the FR process of a large interconnected power network including ESS, and can be used for long-term FR studies. The impact of communication delays and SoC management of ESS facilities in the Area Control Error (ACE) is also studied and discussed, as well as the computational efficiency of the proposed FR model.
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    Regulation Signal Design and Fast Frequency Control With Energy Storage Systems
    (Institute of Electrical and Electronics Engineers (IEEE), 2021-06-02) Guzman E., Noela Sofia; Arriaga, Mariano; Cañizares, Claudio A.; Simpson-Porco, John W.; Sohm, Daniel; Bhattacharya, Kankar
    This paper presents a novel H2 filter design procedure to optimally split the Frequency Regulation (FR) signal between conventional and fast regulating Energy Storage System (ESS) assets, considering typical Communication Delays (CDs). The filter is then integrated into a previously validated FR model of the Ontario Power System (OPS) including Battery and Flywheel ESSs, which is used to analyze the impact of these ESSs, CDs, and limited regulation capacity in the FR process in a real system. The proposed methodology to split the FR signal is also compared with the existing FR process, with the results showing that the proposed H2 filter design and signal splitting strategy can improve the FR process performance significantly, in terms of reducing the Area Control Error (ACE) signal, and thus reduce the need for regulation capacity.