Optimal Design Method of Flexible Excitation System for Improving Power System Stability

Providing sufficient damping over the full frequency range of low-frequency oscillation (LFO) is a challenge in modern power systems. The flexible excitation system with two damping channels, controlled by the power system stabilizer (PSS) and the reactive power damping controller (RPDC), respectively, provides a new way to solve this problem. The controller structures of the flexible excitation system are studied, in which a novel structure is adopted in RPDC to enhance the damping over the lower frequency range of LFO. The controller parameters design method of the flexible excitation system is also proposed: the phase compensation method is employed to design the time constants of PSS and RPDC; and the gains of them are adjusted based on their critical values. A single machine-infinite bus system in a real-time digital system and a system considering the doubly-fed wind generator are simulated to verify the effectiveness of the flexible excitation system on improving the power system stability.

[1]  Gang Chen,et al.  Adaptive Time Delay Compensator (ATDC) Design for Wide-Area Power System Stabilizer , 2014, IEEE Transactions on Smart Grid.

[2]  Jianbo Sun,et al.  Analysis and assessment of VSC excitation system for power system stability enhancement , 2014 .

[3]  Z. Miao,et al.  Wind in Weak Grids: Low-Frequency Oscillations, Subsynchronous Oscillations, and Torsional Interactions , 2020, IEEE Transactions on Power Systems.

[4]  Ieee Standards Board IEEE recommended practice for excitation system models for power system stability studies , 1992 .

[5]  Chengxiong Mao,et al.  A novel control strategy for static excitation system based on three-phase current source converter , 2015, 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).

[6]  Komla A. Folly,et al.  Inter-Area Oscillation Damping With Non-Synchronized Wide-Area Power System Stabilizer , 2017, ArXiv.

[7]  V. S. Bandal,et al.  Robust decentralised output feedback sliding mode control technique-based power system stabiliser (PSS) for multimachine power system , 2007 .

[8]  Jenson Jose,et al.  Hybrid control of a multi‐area multi‐machine power system with FACTS devices using non‐linear modelling , 2020, IET Generation, Transmission & Distribution.

[9]  Jie Tian,et al.  Design and Field Application of Flexible Excitation System Damping Controllers , 2021, IEEE Transactions on Industrial Electronics.

[10]  Ebrahim Babaei,et al.  Design of a non-linear power system stabiliser using the concept of the feedback linearisation based on the back-stepping technique , 2011, ArXiv.

[11]  Xiongfei Wang,et al.  SISO Transfer Functions for Stability Analysis of Grid-Connected Voltage-Source Converters , 2019, 2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia).

[12]  Ming Xu,et al.  Multivariable Feedback Linearizaton Scheme for New Excitation System Based on Full Controlled Device , 2018, 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2).

[13]  Marco Liserre,et al.  Integration of Large Photovoltaic and Wind System by Means of Smart Transformer , 2017, IEEE Transactions on Industrial Electronics.

[14]  Dan Wang,et al.  Design and implementation of voltage source converter excitation system to improve power system stability , 2015, 2015 IEEE Industry Applications Society Annual Meeting.

[15]  Yajun Wang,et al.  On Inertia Distribution, Inter-Area Oscillations and Location of Electronically-Interfaced Resources , 2018, IEEE Transactions on Power Systems.

[16]  Optimal Design Method of Flexible Excitation System for Improving Power System Stability , 2020, 2020 IEEE Industry Applications Society Annual Meeting.

[17]  Ricardo Lúcio de Araujo Ribeiro,et al.  Wavelet-Based Power System Stabilizer , 2015, IEEE Transactions on Industrial Electronics.

[18]  Xudong Zou,et al.  Small-Signal Disturbance Compensation Control for LCL-Type Grid-Connected Converter in Weak Grid , 2020, IEEE Transactions on Industry Applications.

[19]  Ali Hesami Naghshbandy,et al.  Coordinated design of PSS and unified power flow controller using the combination of CWT and Prony methods with the help of SPEA II multi-objective optimisation algorithm , 2019 .

[20]  M. Jazaeri,et al.  Robust design of fuzzy‐based power system stabiliser considering uncertainties of loading conditions and transmission line parameters , 2019, IET Generation, Transmission & Distribution.

[21]  Claudio A. Canizares,et al.  A study of TCSC controller design for power system stability improvement , 2003 .

[22]  Li Li,et al.  Power system stabiliser PSS4B-W parameters optimisation and RTDS test verification , 2019 .

[23]  Jeevamma Jacob,et al.  Fractional-order lead-lag compensator-based multi-band power system stabiliser design using a hybrid dynamic GA-PSO algorithm , 2018 .

[24]  Hussain Shareef,et al.  Artificial Intelligent Based Damping Controller Optimization for the Multi-Machine Power System: A Review , 2018, IEEE Access.

[25]  Dhanraj Chitara,et al.  Cuckoo Search Optimization algorithm for designing of multimachine Power System Stabilizer , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[26]  Ramakrishna Gokaraju,et al.  An Add-On Self-Tuning Control System for a UPFC Application , 2014, IEEE Transactions on Industrial Electronics.

[27]  Jian Xu,et al.  Application of Information Gap Decision Theory to the Design of Robust Wide-Area Power System Stabilizers Considering Uncertainties of Wind Power , 2018, IEEE Transactions on Sustainable Energy.