【作者】 陈平；

【导师】 姜惠兰；

【作者基本信息】 天津大学 ， 电气工程， 2014， 硕士

【摘要】 目前中国电力工业的发展正处于跨大区电网互联、全国联网和实现更大范围内的资源优化配置的重要时期，随着互联系统的出现，电网动态稳定问题也日益复杂，区间弱阻尼就是大规模电网面临的主要挑战之一，弱阻尼区间低频振荡制约着互联电网区域间的输电能力和互联系统的稳定性问题。因此设计出能有效提高系统阻尼，抑制系统区间低频振荡的阻尼控制器，这对提高互联系统的安全稳定，促进电力市场的发展具有重大意义。针对传统阻尼控制器采用本地机组的信号构成反馈控制系统而不能抑制区间低频振荡的问题，本文基于广域测量系统的阻尼控制理论，利用广域测量信息构成广域控制系统，以两区四机系统为例，在PSASP环境下对该模型进行小干扰稳定分析，找出该系统中主要的低频振荡模式，分析并选取出参与系统区间低频振荡的主导机组，利用分析结果来决定广域阻尼控制器的反馈信息的选取和控制安装地点。考虑到当前大多数阻尼控制器都是基于系统的详细建模，在一定条件下离线设计的固定的参数，阻尼控制效果并不佳。结合目前的基于模糊理论的模糊控制器能避免系统详细建模的要求，鲁棒性好和人工神经网络技术具有的自学习、自推导能力等优点，本文提出将模糊神经网络技术应用于阻尼互联电网区间低频振荡的广域附加励磁阻尼控制器的设计中。该阻尼控制器的输入为能够反映系统区间低频振荡信息的信号，控制器结构为模糊控制与神经网络有机结合，它利用神经网络（NN）强大的非线性映射特性，记忆模糊控制决策规则，最后将信号附加在发电机的励磁系统中。所设计的广域阻尼控制器避免了以往广域阻尼控制器设计对互联系统全模型的依赖，又能适应互联系统阻尼控制的非线性特性。最后在MATLAB/SIMULINK搭建两区域四机系统，仿真验证了设计的广域阻尼控制器在抑制区间低频振荡中的有效性，以及该阻尼控制器能够有效提高系统的稳定性。更多还原

【Abstract】 At present, the development of the electric power industry of China is in animportant period of inter-regional power grid interconnection, the national networkand the realization of the optimal allocation of resources. With the advent ofinterconnected system, power grid dynamic stability problem is becoming more andmore complete, one of the main challenges facing large-scale power grid is theinterval weak damping. Weak damping inter-area low frequency oscillation restrictsthe stability of the regional interconnected power grid transmission capacity andinterconnected system stability. So the design of good damping controller canimprove the system damping effectively, which is to damp the interval low frequencyoscillation and to improve the security and stability of the interconnected system, andit is of great significance to promote the development of electric power market.In view of the traditional damping controller which uses the local units signalsconstituting a feedback control system and can t inhibit inter-area low frequencyoscillation problem well. In this paper, the control system is built based on the widearea measurement theory. The paper takes the control system of the two district fourgenerators as an example, constructs the model in the PSASP environment for smallsignal stability analysis and finds out the main low frequency oscillation mode in thesystem, to analyze and select the leading units in the interval low frequencyoscillation of system, and finally uses analysis results to determine the selection ofcontrol installation location and the feedback information of wide area dampingcontroller.Considering the off-line designed and fixed parameters damping controllerswhich are based on detailed system modeling, the damping control is poor undercertain conditions. Combining the superiority of fuzzy controller avoiding the detailedsystem modeling requirements with advantage of neural network s robustness andartificial self-learning technique, self-derivation ability, this paper is applying fuzzyneural network technology in wide area supplementary damping controller design todamp the low frequency oscillation of interconnected power system. The input signalsof the damping controller can reflect the interval information of low frequencyoscillation system, and controller structure is the organic combination of neuralnetwork and fuzzy control, the neural network (NN) nonlinear mappingcharacteristics is so strong to memorize the fuzzy control decision rules. Finally the signal is added to the generator excitation system. Wide area damp controller avoidsthe previous wide area damping controller design problem of depending on theinterconnected systems model, and can adapt to the nonlinear characteristics of theinterconnected power systems damping control. Finally, the effectiveness of wide areadamping controller suppressing the low-frequency oscillation is verified in the twoarea four machine system in MATLAB/SIMULINK, and the damping controller canimprove the system stability effectively.更多还原