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面向暂态电压支撑的调相机励磁系统优化设计研究

The Optimized Design of Phasor Excitation System for Transient Voltage Support

  • 摘要: 随着新能源的发展,电力系统对外无功电压支撑的需求日益增大。建立调相机励磁系统的数学模型,分析其PID控制器的时间常数Ta、Tb、Tc及自动电压调节器(AVR)增益Ke对并网点电压与无功响应的影响。针对传统粒子群算法(PSO)易早熟、收敛慢,提出Logistic混沌初始化PSO,并以时间加权绝对误差积分(ITEA)为适应度优化励磁系统控制器参数。仿真结果表明,优化后的调相机在系统三相短路故障切除后的动态响应性能更优,电压和无功恢复更快,超调更小,波动减弱,进而提升了系统稳定性。

     

    Abstract: With the development of renewable energy, the demand for external reactive voltage support in power systems has been steadily increasing. This paper establishes the mathematical model of the phasor excitation system, analyzing the influence of the time constants Ta, Tb, Tc of the PID controller and the gain Ke of the automatic voltage regulator (AVR) on the voltage and reactive power response at the grid connection point. In response to the traditional particle swarm optimization (PSO) algorithm's tendency to prematurely converge and its slow convergence rate, a Logistic-chaos-initialized PSO is proposed. The controller parameters of the excitation system are optimized using the time-weighted absolute error integral (ITEA) as the fitness function. Simulation results demonstrate that the optimized synchronous condenser achieves superior dynamic performance after the clearance of three-phase short-circuit faults in the power system. Faster recovery of voltage and reactive power, smaller overshoot, and mitigated oscillations are observed, which further improves system stability.

     

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