专利详细信息

基于多模型模糊神经网络PI的STATCOM控制方法

文献类型：专利

专利类型：发明专利

是否失效：否

是否授权：否

申请号：CN201210269748.2

申请日：20120731

发明人：郑益慧王昕李立学周晨李军良王艳华谢宁王滨

申请人：上海交通大学吉林省电力有限公司四平供电公司国家电网公司

申请人地址：200240 上海市闵行区东川路800号

公开日：20150701

公开号：CN102856910B

代理人：胡晶

代理机构：31236 上海汉声知识产权代理有限公司

语　　种：中文

摘　　要：本发明涉及一种基于多模型模糊神经网络PI的STATCOM控制方法，其包括以下步骤：S1：根据配电系统负载侧接入不同冲击性负载后接入点电压U<Sub>pcc</Sub>的降低幅值大小，将配电系统划分为三个模型M<Sub>i</Sub>(i＝1,2,3)；S2：对于每个模型分别设计d轴PI控制器PI<Sub>di</Sub>（i＝1,2,3）与q轴PI控制器PI<Sub>qi</Sub>（i＝1,2,3）；S3：模糊神经网络模块包括模糊控制器和神经网络两个部分。通过模糊神经网络模块来整定M<Sub>i</Sub>(i＝1,2,3)中d轴PI控制器PI<Sub>di</Sub>（i＝1,2,3）与q轴PI控制器PI<Sub>qi</Sub>（i＝1,2,3）的控制参数k<Sub>p</Sub>、k<Sub>i</Sub>。本发明的优越性在于：1.设计的PI控制器采用了多模型技术，该技术根据模型切换指标对PI参数进行了选择，使PI控制器能够适应接入点负载的变化；2.PI控制器参数k<Sub>p</Sub>、k<Sub>i</Sub>通过模糊神经网络进行整定得到，大大减少了人工PI参数整定带来的繁琐工作量。

主权项：1.一种基于多模型模糊神经网络PI的STATCOM控制方法，其特征在于，包括以下步骤：S1：根据配电系统负载侧接入不同冲击性负载后接入点电压U_pcc的降低幅值大小，将配电系统划分为三个模型M_i(i＝1,2,3)；S2：对于每个模型分别设计d轴PI控制器PI_di(i＝1,2,3)与q轴PI控制器PI_qi(i＝1,2,3)；S3：模糊神经网络模块包括模糊控制器和神经网络两个部分；通过模糊神经网络模块来整定M_i(i＝1,2,3)中d轴PI控制器PI_di(i＝1,2,3)与q轴PI控制器PI_qi(i＝1,2,3)的控制参数k_p、k_i；所示步骤S3进一步包括：S31：将直流侧给定电压与直流侧实际输出电压U_dc的差值e_dc(k)及e_dc(k)的导数和接入点给定电压与接入点实际输出电压U_pcc的差值e_pcc(k)及e_pcc(k)的导数为模糊控制的输入，通过模糊控制器得到相应的输出；S32：将步骤S31中的输出作为BP神经网络的输入数据来训练神经网络，其中输入层具有3个神经元，输入层的输入为； $<math> <mrow> <msubsup> <mi>input</mi> <mi>i</mi> <mrow> <mo>(</mo> <mn>2</mn> <mo>-</mo> <mn>1</mn> <mo>)</mo> </mrow> </msubsup> <mrow> <mo>(</mo> <</p><p class='subject'><strong>关键词：</strong><b class='type_ico_id'></b>控制器 <b class='type_ico_id'></b>模糊神经网络配电系统接入点控制器参数 <b class='type_ico_id'></b>模糊控制器参数进行控制参数模型技术模型切换 <b class='type_ico_id'></b>神经网络 <b class='type_ico_id'></b>幅值工作量电压冲击 </p><p class='class'><strong>IPC专利分类号：</strong>H02J3/16(20060101);G06N3/06(20060101)</p>
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