Browsing by Author "Rahmann, Claudia"

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Definition and Classification of Power System Stability – Revisited & Extended
(Institute of Electrical and Electronics Engineers (IEEE), 2020-12-08) Hatziargyriou, Nikos; Milanovic, Jovica; Rahmann, Claudia; Ajjarapu, Venkataramana; Canizares, Claudio; Erlich, Istvan; Hill, David; Hiskens, Ian; Kamwa, Innocent; Pal, Bikash; Pourbeik, Pouyan; Sanchez-Gasca, Juan; Stankovic, Aleksandar; Van Cutsem, Thierry; Vittal, Vijay; Vournas, Costas
Since the publication of the original paper on power system stability definitions in 2004, the dynamic behavior of power systems has gradually changed due to the increasing penetration of converter interfaced generation technologies, loads, and transmission devices. In recognition of this change, a Task Force was established in 2016 to re-examine and extend, where appropriate, the classic definitions and classifications of the basic stability terms to incorporate the effects of fast-response power electronic devices. This paper based on an IEEE PES report summarizes the major results of the work of the Task Force and presents extended definitions and classification of power system stability.
Practical Framework for Frequency Stability Studies in Power Systems With Renewable Energy Sources
(Institute of Electrical and Electronics Engineers (IEEE), 2020-11-05) Ortiz-Villalba, Diego; Rahmann, Claudia; Alvarez, Ricardo; Canizares, Claudio A.; Strunck, Christoph
The transition from power systems dominated by synchronous machines to systems based on converter-based generation technologies (CGTs), is weakening currently robust power systems by reducing system inertia with the replacement of synchronous generators with low-inertia CGTs. From a frequency stability viewpoint, this is resulting in faster frequency dynamics and more frequent and larger frequency excursions after system contingencies, thus significantly affecting the stability of power systems dominated by CGTs, requiring detailed stability assessments to ensure the secure integration of CGTs. In this paper, a practical framework is presented for frequency stability studies based on time domain simulations of power systems with CGTs. A fundamental part of the proposed approach is the use of a filter to first identify worst-case scenarios among various possible system operating conditions. Once these worst-case scenarios are identified, a clustering technique is used to select representative worst-case operating conditions to evaluate the frequency stability of the system using time-domain simulations. The effectiveness of the proposed framework is demonstrated on the Chilean Northern Interconnected System (NIS), where it is shown that the proposed filter is able to quickly identify worst-case scenarios for further study. Moreover, we show that the selected representative operating conditions cover a wide-range of worst-case frequency responses, demonstrating the effectiveness of the proposed tool for frequency stability analyses.
Practical Framework for Frequency Stability Studies in Power Systems With Renewable Energy Sources
(Institute of Electrical and Electronics Engineers (IEEE), 2020-11-05) Ortiz-Villalba, Diego; Rahmann, Claudia; Alvarez, Ricardo; Canizares, Claudio A.; Strunck, Christoph
The transition from power systems dominated by synchronous machines to systems based on converter-based generation technologies (CGTs), is weakening currently robust power systems by reducing system inertia with the replacement of synchronous generators with low-inertia CGTs. From a frequency stability viewpoint, this is resulting in faster frequency dynamics and more frequent and larger frequency excursions after system contingencies, thus significantly affecting the stability of power systems dominated by CGTs, requiring detailed stability assessments to ensure the secure integration of CGTs. In this paper, a practical framework is presented for frequency stability studies based on time domain simulations of power systems with CGTs. A fundamental part of the proposed approach is the use of a filter to first identify worst-case scenarios among various possible system operating conditions. Once these worst-case scenarios are identified, a clustering technique is used to select representative worst-case operating conditions to evaluate the frequency stability of the system using time-domain simulations. The effectiveness of the proposed framework is demonstrated on the Chilean Northern Interconnected System (NIS), where it is shown that the proposed filter is able to quickly identify worst-case scenarios for further study. Moreover, we show that the selected representative operating conditions cover a wide-range of worst-case frequency responses, demonstrating the effectiveness of the proposed tool for frequency stability analyses.