Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

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基于RTDS/CBuilder的雙調(diào)諧濾波器通用模型開發(fā)

來源:電工電氣發(fā)布時間:2018-12-17 13:17 瀏覽次數(shù):594
基于RTDS/CBuilder的雙調(diào)諧濾波器通用模型開發(fā)
 
方葦1,寧晗1,付玉婷1,朱添安2
(1 國網(wǎng)湖北省電力公司檢修公司,湖北 武漢 430051;2 國網(wǎng)湖北省電力公司宜昌供電公司,湖北 宜昌 443000)
 
    摘 要:基于RTDS/CBuilder采用自定義編程技術(shù)開發(fā)雙調(diào)諧濾波器的通用模型。該模型依據(jù)實際工程的典型接線結(jié)構(gòu),人機交互界面根據(jù)雙調(diào)諧濾波器的串并聯(lián)諧振回路形成工程參數(shù)輸入對話框,實時運行程序在計及阻尼系數(shù)與電感品質(zhì)因數(shù)、電容介質(zhì)損耗的關(guān)系條件下,采用C語言編程技術(shù)構(gòu)建數(shù)值遞推方程。以實例對比法對所開發(fā)模型進行了仿真驗證,結(jié)果表明:該模型不僅可以應(yīng)用于不同接線結(jié)構(gòu)的雙調(diào)諧濾波器的建模,還能夠有效節(jié)省整個模型的節(jié)點數(shù)量,從而提高RTDS設(shè)備的利用效率。
    關(guān)鍵詞:雙調(diào)諧濾波器;仿真測試;自定義模型
    中圖分類號:TN713     文獻標識碼:A     文章編號:1007-3175(2018)12-0027-05
 
Development of General Model for Double-Tuned Filters Based on RTDS/CBuilder
 
FANG Wei1, NING Han1, FU Yu-ting1, ZHU Tian-an2
(1 State Grid Hubei Electric Power Company Maintenance Company, Wuhan 430051, China;
2 State Grid Hubei Electric Power Company Yichang Power Supply Company, Yichang 443000, China)
 
    Abstract: This paper used user-defined programming technology to develop general model of double tuned filter based on RTDS/CBuilder. The model appliedthe typical connection structure of actual engineering, man-machine interactive interface was composed of input dialog box for engineering parameters on the basis of series parallel resonant circuit, real-time operation procedures were compiled by C language programming technology to construct the numerical recursive equations in consideration of the relationship between damping coefficient and quality factor of inductance, dielectric loss of capacitance. The paper verifiedthe versatility and accuracy of the model by living example contrast. The results show that the model not only can be applied to modeling the different connection structure of double tuned filter, but also effectively save the nodes of the system, which improves the utilization efficiency of RTDS equipment.
    Key words: double-tuned filter; simulation testing; user-defined model
 
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