TY - JOUR
T1 - Optimal under-frequency load shedding setting at Altai-Uliastai regional power system, Mongolia
AU - Acosta, Martha N.
AU - Adiyabazar, Choidorj
AU - Gonzalez-Longatt, Francisco
AU - Andrade, Manuel A.
AU - Rueda Torres, José L.
AU - Vazquez, Ernesto
AU - Santos , Jesús Manuel Riquelme
PY - 2020
Y1 - 2020
N2 - 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® PowerFactoryTM + Python). The results demonstrate an outstanding performance of the proposed approach when compared with the traditional one.
AB - 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® PowerFactoryTM + Python). The results demonstrate an outstanding performance of the proposed approach when compared with the traditional one.
KW - Frequency control
KW - Improved harmony search
KW - Metaheuristic algorithm
KW - Mongolian power system
KW - Optimisation
KW - Under-frequency load shedding
UR - http://www.scopus.com/inward/record.url?scp=85093068408&partnerID=8YFLogxK
U2 - 10.3390/en13205390
DO - 10.3390/en13205390
M3 - Article
SN - 1996-1073
VL - 13
SP - 1
EP - 18
JO - Energies
JF - Energies
IS - 20
M1 - 5390
ER -