电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2013年
9期
47-53
,共7页
裴喜平%郝晓弘%陈伟%肖骏%王维洲
裴喜平%郝曉弘%陳偉%肖駿%王維洲
배희평%학효홍%진위%초준%왕유주
模型预测控制(MPC)%动态电压恢复器%电能质量
模型預測控製(MPC)%動態電壓恢複器%電能質量
모형예측공제(MPC)%동태전압회복기%전능질량
model predictive control (MPC)%dynamic voltage restorer (DVR)%power quality
为了提高动态电压恢复器的响应速度和稳态精度,提出了基于模型预测控制的控制策略,详细分析了控制器参数设计方法.在分析动态电压恢复器主电路模型的基础上,采用内环电流控制器对模型进行改进,得出模型预测控制所需的被控对象一步预测模型,设计了模型预测控制器.所提控制算法克服了基于非参数预测模型的模型预测控制由于算法复杂、参数调整困难,计算量大,很难直接应用到电力系统这样的快速实时系统中的问题,同时实现了预测控制滚动优化、反馈校正的优点.在满意的稳定精度下,明显提高了系统的动态响应速度.与经典控制策略的实验对比分析,证明了所提方法的正确性和有效性.
為瞭提高動態電壓恢複器的響應速度和穩態精度,提齣瞭基于模型預測控製的控製策略,詳細分析瞭控製器參數設計方法.在分析動態電壓恢複器主電路模型的基礎上,採用內環電流控製器對模型進行改進,得齣模型預測控製所需的被控對象一步預測模型,設計瞭模型預測控製器.所提控製算法剋服瞭基于非參數預測模型的模型預測控製由于算法複雜、參數調整睏難,計算量大,很難直接應用到電力繫統這樣的快速實時繫統中的問題,同時實現瞭預測控製滾動優化、反饋校正的優點.在滿意的穩定精度下,明顯提高瞭繫統的動態響應速度.與經典控製策略的實驗對比分析,證明瞭所提方法的正確性和有效性.
위료제고동태전압회복기적향응속도화은태정도,제출료기우모형예측공제적공제책략,상세분석료공제기삼수설계방법.재분석동태전압회복기주전로모형적기출상,채용내배전류공제기대모형진행개진,득출모형예측공제소수적피공대상일보예측모형,설계료모형예측공제기.소제공제산법극복료기우비삼수예측모형적모형예측공제유우산법복잡、삼수조정곤난,계산량대,흔난직접응용도전력계통저양적쾌속실시계통중적문제,동시실현료예측공제곤동우화、반궤교정적우점.재만의적은정정도하,명현제고료계통적동태향응속도.여경전공제책략적실험대비분석,증명료소제방법적정학성화유효성.
@@@@In order to improve the dynamic response speed and steady accuracy of the dynamic voltage restorer, this paper proposes control strategies based on model predictive control (MPC) and analyzes design methods of controller parameters in detail. On the basis of analysis of the main circuit model for dynamic voltage restorer, the model is improved by the inner current controller and the one-step prediction model of controlled object needed by MPC is acquired, and then a model predictive controller is designed. The proposed control algorithm overcomes the difficulty that traditional model predictive control algorithm based on non-parametric prediction mode is difficult to be directly applied to power systems such as rapid real-time system due to complexity of the algorithm, difficulties of parameter adjustment and amount of computation. It has the merits of feedback correction and dynamic optimization of MPC. Under satisfactory steady accuracy conditions, the proposed strategy improves dynamic response speed significantly. The feasibility of the proposed controller is verified through experimental analysis compared with classic control strategy. This work is supported by National Natural Science Foundation of China (No. 51267012).