引用本文:程启明,程尹曼,薛?阳,胡晓青.同步发电机励磁控制方法的发展与展望[J].电力自动化设备,2012,32(5):
CHENG?Qiming,CHENG?Yinman,XUE?Yang,HU?Xiaoqing.Development?and?prospects?of?excitation?control?methods?for?synchronous?generator[J].Electric Power Automation Equipment,2012,32(5):
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同步发电机励磁控制方法的发展与展望
程启明, 程尹曼, 薛?阳, 胡晓青
上海电力学院?电力与自动化工程学院,上海?200090
摘要:
励磁控制方法的发展经历了线性单变量控制、线性多变量控制、非线性多变量控制及智能控制几个发展阶段,其中线性多变量控制可分为强力式、PID+PSS、线性最优等励磁控制方法;非线性多变量控制可分为鲁棒、变结构、自适应、内模、预测、灰色、自抗扰、Lyapunov、反步、无源、Hamilton、反馈线性化等励磁控制;智能控制可分为模糊、神经网络、支持向量机、专家、学习、遗传、模糊神经等励磁控制。全面地概括了励磁控制方法的发展历史与现状,并按控制理论发展规律对这些方法进行分类,分析这些方法的原理及优缺点,说明励磁控制与其他控制之间的协调方式,指出存在的主要问题及今后的发展方向。
关键词:  励磁控制  同步发电机  电力系统  稳定性
DOI:
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基金项目:国家自然科学基金资助项目(61040013);上海市教委重点学科建设项目(J51301)
Development?and?prospects?of?excitation?control?methods?for?synchronous?generator
CHENG?Qiming, CHENG?Yinman, XUE?Yang, HU?Xiaoqing
College?of?Electric?Power?and?Automation,Shanghai?University?of?Electric?Power,Shanghai?200090,China
Abstract:
The development stages of excitation control are linear single-variable control,linear multivariable control,nonlinear multivariable control and intelligent control. The linear multi-variable excitation control are forced control,PID+PSS control and linear optimal control;the nonlinear multivariable excitation control are robust control,variable structure control,adaptive control,internal model control,predict control,gray control,ADRC control,Lyapunov control,back-stepping control,passive control,Hamilton control and feedback linearization control;the intelligent excitation control are fuzzy control,neural network control,support vector machine control,expert control,learning control,genetic control and fuzzy neural control. The history and current situation of excitation control development are summarized,these control methods are classified according to the development of control theory,their principles,advantages and disadvantages are analyzed,the coordination between excitation control and other controls are explained,and the main problems and its development trend are pointed out.
Key words:  excitation control  synchronous generators  electric power systems  stability

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