TY - JOUR
T1 - Probabilistic Assessment on Area-Level Frequency Nadir/Vertex for Operational Planning
AU - Wen, Jiaxin
AU - Bu, Siqi
AU - Xin, Huanhai
N1 - Funding Information:
1Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR 2The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518000, China 3Research Institute for Smart Energy, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR 4Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China CORRESPONDING AUTHOR: S. BU ([email protected]) This work was supported in part by the National Natural Science Foundation of China for the Research Project under Grant 52077188 and Grant 51922094, in part by Guangdong Science and Technology Department for the Research Project under Grant 2019A1515011226, and in part by Hong Kong Research Grant Council for the Research Project under Grant 15219619.
Publisher Copyright:
© 2020 IEEE.
PY - 2021/8
Y1 - 2021/8
N2 - Local heterogeneity of the frequency response of modern grids becomes more severe than ever before due to 1) weaker grid connection strength brought by the favorable grid interconnection, and 2) more uncertainties and less system inertia brought by the increasing renewable integration. This dominant characteristic is difficult to be accurately characterized and evaluated by the classic aggregated system frequency response (SFR) model. Therefore, this paper proposes a framework for assessing the risk of area-level frequency nadir/vertex (FN/FV) for operational planning in a practical and effective manner. Firstly, a multi-point sensitivity (MPS) is proposed based on the classical SFR model to evaluate the system FN/FV, where the impact of different Renewable Energy Sources (RESs) on system FN/FV are considered. The method can be extended for regional frequency evaluation, but the influence of generator frequency oscillation cannot be effectively considered, which might impact assessment accuracy. To address this issue, a multi-interval sensitivity (MIS) method is further proposed to calculate the probabilistic distribution of the area-level FN/FV. The probabilistic results are evaluated by the FN/FV RAM, i.e., Risk Assessment Matrix, to provide a two-dimensional analysis for system operational planners. The accuracy and efficiency of the proposed MPS and MIS methods are critically validated via scenario-based simulation (SBS) in a modified IEEE 16-machine 68-bus benchmark system.
AB - Local heterogeneity of the frequency response of modern grids becomes more severe than ever before due to 1) weaker grid connection strength brought by the favorable grid interconnection, and 2) more uncertainties and less system inertia brought by the increasing renewable integration. This dominant characteristic is difficult to be accurately characterized and evaluated by the classic aggregated system frequency response (SFR) model. Therefore, this paper proposes a framework for assessing the risk of area-level frequency nadir/vertex (FN/FV) for operational planning in a practical and effective manner. Firstly, a multi-point sensitivity (MPS) is proposed based on the classical SFR model to evaluate the system FN/FV, where the impact of different Renewable Energy Sources (RESs) on system FN/FV are considered. The method can be extended for regional frequency evaluation, but the influence of generator frequency oscillation cannot be effectively considered, which might impact assessment accuracy. To address this issue, a multi-interval sensitivity (MIS) method is further proposed to calculate the probabilistic distribution of the area-level FN/FV. The probabilistic results are evaluated by the FN/FV RAM, i.e., Risk Assessment Matrix, to provide a two-dimensional analysis for system operational planners. The accuracy and efficiency of the proposed MPS and MIS methods are critically validated via scenario-based simulation (SBS) in a modified IEEE 16-machine 68-bus benchmark system.
KW - frequency nadir/vertex (FN/FV)
KW - multi-interval sensitivity (MIS)
KW - multi-point sensitivity (MPS)
KW - Operational planning
KW - probabilistic assessment
UR - http://www.scopus.com/inward/record.url?scp=85115410099&partnerID=8YFLogxK
U2 - 10.1109/OAJPE.2021.3108428
DO - 10.1109/OAJPE.2021.3108428
M3 - Journal article
AN - SCOPUS:85115410099
SN - 2332-7707
VL - 8
SP - 341
EP - 351
JO - IEEE Open Access Journal of Power and Energy
JF - IEEE Open Access Journal of Power and Energy
ER -