
1. 广东工业大学 自动化学院,广东,广州,510006
2. 广东电网有限责任公司 江门供电局,广东,江门,529000
Published:2024
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罗坚强, 黎浩贤, 杨苓. 双馈异步风机控制模态交互与内部谐振问题研究[J]. 广东工业大学学报, 2024, 41(5): 22-29.
Luo Jian-qiang, Li Hao-xian, Yang Ling. A Study of Control Modal Interaction and Internal Resonance of DFIG[J]. 2024, 41(5): 22-29.
罗坚强, 黎浩贤, 杨苓. 双馈异步风机控制模态交互与内部谐振问题研究[J]. 广东工业大学学报, 2024, 41(5): 22-29. DOI: 10.12052/gdutxb.240074.
Luo Jian-qiang, Li Hao-xian, Yang Ling. A Study of Control Modal Interaction and Internal Resonance of DFIG[J]. 2024, 41(5): 22-29. DOI: 10.12052/gdutxb.240074.
随着国家能源结构的转型以及实施“双碳”战略,大规模风电持续接入电力系统,对系统带来了交互谐振以及变流器驱动稳定性等问题。通过研究双馈异步风机机侧变流器以及网侧变流器控制外环的控制参数对稳定性的影响,发现机侧变流器控制外环的参数稳定区均位于左下平面,网侧变流器外环控制参数稳定区位于右下平面,参数稳定区与不稳定区之间存在着带状的参数风险区。当增大网侧变流器控制器的比例系数与积分系数时,系统阻尼将增强,但在某个区间会产生强烈的交互作用进而发生内部谐振,导致系统失去稳定。针对网侧变流器控制器之间的强烈交互作用,引入粒子群算法对网侧变流器的PI控制器进行参数优化,优化后直流电压恢复速度缩短半个周期,超调量减少40%。
With the transformation of the national energy structure and the implementation of the “dual-carbon” strategy
large-scale wind power continues to be connected to the power system
which brings problems such as interactive resonance and converter drive stability to the system. By studying the influence of the control parameters of the machine-side converter and the outer ring of the grid-side converter control on the stability of doubly-fed asynchronous wind turbines
it is found that the parameter stabilization zones of the outer ring of the machine-side converter control are located in the lower left plane
and that the parameter stabilization zones of the outer ring of the grid-side converter control are located in the lower right plane
and that there exists a band of parameter risk areas between the parameter stabilization zones and the instability zones. When increasing the proportional and integral coefficients of the grid-side converter controllers
the system damping will be enhanced
but in a certain interval
a strong interaction and thus internal resonance will occur
leading to system destabilization. For the strong interaction between the controllers of the grid-side converter
Particle Swarm Optimization (PSO) is introduced to optimize the parameters of the PI controllers of the grid-side converter
and the optimization shortens the DC voltage recovery speed by half a cycle and reduces the overshooting amount by 40%.
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LUO J, BU S, CHUNG C Y. Design and comparison of auxiliary resonance controllers for mitigating modal resonance of power systems integrated with wind generation[J]. IEEE Transactions on Power Systems, 2021, 36(4): 3372-3383
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