风电集群系统电压稳定分析及无功优化控制研究
本文选题:风电场集群 + Hopf分岔 ; 参考:《西安理工大学》2017年硕士论文
【摘要】:大规模风力集群发电是解决环境污染和能源危机的有效途径,山于我国能源和负荷的逆向分布,风电接入电网多采用风电场集群,高压输送模式。随着大容量风电场接入高电压等级输电网中,风风屯接入对主网的电压稳定性产生了显著影响。本文基于大规模风电场集群无功电压支撑能力弱,系统抗扰动能力差等特点,着重从系统无功源的运行特性、电压稳定分析、风电集群系统低频振荡现象以及无功优化控制策略四个方面介绍了当前风电集群系统接入电网电压稳定性研究概况。木文首先分析了风电集群系统常见动态无功补偿设备动态特性,基于新疆哈密实际风电集群系统在DlgSILENT/Power Factory中建立了计及风功率波动特性的风电场动态模型,改进了传统微分代数方程(differcntial algcbra equation, DAE)模型,为克服传统潮流计算仅基于单断面运行信息的不足,提出一种基于Hopf分岔的改进连续潮流法(Continuation Power Flow,CPF)与时域仿真相结合的动态分析法。其次,本文基于实测风功率信息,采用一种快速计算系统稳定裕度算法,该方法提供了一个接近系统最终收敛点的估计值,,提高了算法收敛速度,保证所得分岔点即为最先导致系统失稳的极限点。然后通过双参数“两步法”追踪系统二维Hopf分岔曲线,以此分析风电集群地区无功补偿设备动态响应特性及电压控制效果。最后,针对新疆哈密地区风电场异常振荡事故,本文通过考虑多时间尺度无功源运行特性,探寻风电集群系统异常振荡的可能诱发因素。提出一种新型改进果蝇寻优算法(modified fruit fly optimization algorithm,,MFOA)协调优化静止无功补偿器(Static Var Compensator,SVC)阴尼控制器参数以提高风电集群系统稳定性,对新疆哈密风电场集群的仿真计算结果表明所提方法的有效性。
[Abstract]:Large-scale wind power cluster power generation is an effective way to solve the environmental pollution and energy crisis. Wind farm cluster and high-voltage transmission mode are used to connect wind power to the power grid. With the large capacity wind farm connected to the high voltage transmission network, the wind wind access has a significant effect on the voltage stability of the main network. Based on the characteristics of the large scale wind farm cluster, such as weak reactive power and voltage supporting ability and poor system anti-disturbance ability, this paper focuses on the analysis of the operation characteristics and voltage stability of the system reactive power source. Four aspects of wind power cluster system low frequency oscillation and reactive power optimal control strategy are introduced in this paper. The current research situation of wind power cluster system access voltage stability is introduced. Firstly, the paper analyzes the dynamic characteristics of common dynamic reactive power compensation equipment in wind power cluster system. Based on the actual wind power cluster system in Xinjiang Hami, a wind farm dynamic model considering the fluctuation characteristics of wind power is established in DlgSILENT/Power Factory. In this paper, the traditional differential algebraic equation differcninitial algcbra equation, DAE) model is improved. In order to overcome the shortcoming of traditional power flow calculation based on single section operation information, a dynamic analysis method based on Hopf bifurcation is proposed, which combines continuous Power flow method with time domain simulation. Secondly, based on the measured wind power information, a fast stability margin algorithm is used to calculate the stability margin of the system. This method provides an estimate close to the final convergence point of the system, and improves the convergence speed of the algorithm. The guaranteed bifurcation point is the first limit point which leads to the instability of the system. Then, the two-parameter "two-step method" is used to trace the two-dimensional Hopf bifurcation curve of the system, so as to analyze the dynamic response characteristics and voltage control effect of reactive power compensation equipment in wind power cluster area. Finally, in view of the abnormal oscillation accident of wind farm in Hami area, Xinjiang, this paper explores the possible inducing factors of abnormal oscillation of wind power cluster system by considering the operation characteristics of reactive power source in multi-time scale. In order to improve the stability of wind power cluster system, a new modified fruit fly optimization algorithm (modified fruit fly optimization algorithm) is proposed to optimize the parameters of static Var compensator (SVC) controller in order to improve the stability of wind power cluster system. The simulation results of Hami wind farm cluster in Xinjiang show the effectiveness of the proposed method.
【学位授予单位】:西安理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM614;TM712;TM714.3
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