TY - JOUR
T1 - Robust, coordinated control of SSO in windintegrated power system
AU - Wang, Tong
AU - Yang, Jing
AU - Padhee, Malhar
AU - Bi, Jingtian
AU - Pal, Anamitra
AU - Wang, Zengping
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (51637005?51907179), Open Fund of State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (NYB51201901199) and the Fundamental Research Funds for the Central Universities (2018MS006).
Publisher Copyright:
© The Institution of Engineering and Technology 2020.
PY - 2020/4/27
Y1 - 2020/4/27
N2 - This study presents a robust, coordinated control methodology for damping sub-synchronous oscillations (SSOs) while considering power output variations from multiple wind farms. The proposed damping control strategy utilises the mixed H2/H∞ control with regional pole placement to suppress the oscillations. For ensuring applicability over a wider operating range, the convex polytopic theory is utilised by using different operating points as the vertices of a convex polytope. The centralised, coordinated controller for damping SSOs is designed using linear matrix inequalities. Furthermore, unmeasurable state variables, if present, are represented by corresponding output variables. The damping signal is implemented as active power and reactive power modulation of the rotor-side converter of the doubly fed induction generators. A 4-machine, 2-area system and a 39-machine New England system are used to demonstrate the performance of the proposed control. The simulation results show that the polytopic controller can not only provide requisite damping to the SSO modes of interest, but also has good control performance when the wind power outputs change over a wide range.
AB - This study presents a robust, coordinated control methodology for damping sub-synchronous oscillations (SSOs) while considering power output variations from multiple wind farms. The proposed damping control strategy utilises the mixed H2/H∞ control with regional pole placement to suppress the oscillations. For ensuring applicability over a wider operating range, the convex polytopic theory is utilised by using different operating points as the vertices of a convex polytope. The centralised, coordinated controller for damping SSOs is designed using linear matrix inequalities. Furthermore, unmeasurable state variables, if present, are represented by corresponding output variables. The damping signal is implemented as active power and reactive power modulation of the rotor-side converter of the doubly fed induction generators. A 4-machine, 2-area system and a 39-machine New England system are used to demonstrate the performance of the proposed control. The simulation results show that the polytopic controller can not only provide requisite damping to the SSO modes of interest, but also has good control performance when the wind power outputs change over a wide range.
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U2 - 10.1049/iet-rpg.2019.0410
DO - 10.1049/iet-rpg.2019.0410
M3 - Article
AN - SCOPUS:85083976644
SN - 1752-1416
VL - 14
SP - 1031
EP - 1043
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
IS - 6
ER -