Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia

Martha N. Acosta, Choidorj Adiyabazar, Francisco Gonzalez-Longatt, Manuel A. Andrade, José Rueda Torres, Ernesto Vazquez and Jesús Manuel Riquelme Santos
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Martha N. Acosta: Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, 3918 Porsgrunn, Norway
Choidorj Adiyabazar: Power System Analysis and Research Department, National Dispatching Center Co. Ltd., Ulaanbaatar 17032, Mongolia
Francisco Gonzalez-Longatt: Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, 3918 Porsgrunn, Norway
Manuel A. Andrade: School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza 66455, NL, Mexico
José Rueda Torres: Department of Electrical Sustainable Energy, Delft University of Technology (TU Delft), 2628 Delft, The Netherlands
Ernesto Vazquez: School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza 66455, NL, Mexico
Jesús Manuel Riquelme Santos: Department of Electrical Engineering, Universidad de Sevilla, 41004 Seville, Spain

Energies, 2020, vol. 13, issue 20, 1-18

Abstract: The Altai-Uliastai regional power system (AURPS) is a regional power system radially interconnected to the power system of Mongolia. The 110 kV interconnection is exceptionally long and susceptible to frequent trips because of weather conditions. The load-rich and low-inertia AURPS must be islanded during interconnection outages, and the under-frequency load shedding (UFLS) scheme must act to ensure secure operation. Traditional UFLS over-sheds local demand, negatively affecting the local population, especially during the cold Mongolian winter season. This research paper proposes a novel methodology to optimally calculate the settings of the UFLS scheme, where each parameter of the scheme is individually adjusted to minimise the total amount of disconnected load. This paper presents a computationally efficient methodology that is illustrated in a specially created co-simulation environment (DIgSILENT ® PowerFactory TM + Python). The results demonstrate an outstanding performance of the proposed approach when compared with the traditional one.

Keywords: frequency control; improved harmony search; metaheuristic algorithm; Mongolian power system; optimisation; under-frequency load shedding (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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