Open AccessAnalytic assessment of the power system frequency security
Author(s) -
Ju Ping,
Zheng Yi,
Jin Yuqing,
Qin Chuan,
Jiang Yefeng,
Cao Lu
Publication year - 2021
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12171
Subject(s) - electric power system , frequency response , computer science , frequency domain , wind power , laplace transform , transfer function , grid , reliability engineering , renewable energy , power (physics) , control theory (sociology) , engineering , electrical engineering , mathematics , mathematical analysis , physics , geometry , control (management) , quantum mechanics , artificial intelligence , computer vision
Recently, with the increased intermittent renewable energy penetration, many power grids have been incorporated into a large‐scale long‐distance UHV AC–DC hybrid system. In the actual grid, power disturbances, such as DC blocking faults and trip‐off of wind turbines, often occur, resulting in power shortages and large frequency fluctuations. However, the existing approaches to assess the system frequency security are not reliable. This paper proposes an analytic formula for the system frequency response based on a generic system frequency‐response (SFR) model, which can be applied to modern large‐scale power systems. First, a generic SFR model with a reasonable structure is designed according to the parameter determination strategy. Second, according to the transfer function in the model, the time‐domain analytic formula of the frequency response is obtained by realizing the inverse Laplace transform. Moreover, four main indexes are established to represent the characteristics of the frequency dynamic process in different periods, and these indexes are qualitatively and quantitatively analysed. Finally, the New England 10‐unit 39‐bus power system and East China Power Grid are considered to demonstrate the key features of the proposed method. The results show that the proposed analytic assessment method can be effectively adopted in several applications.