电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2014年
11期
79-85
,共7页
王峰%张旭隆%何凤有%张晓
王峰%張旭隆%何鳳有%張曉
왕봉%장욱륭%하봉유%장효
有源电力滤波器%三电平%自适应%模型预测
有源電力濾波器%三電平%自適應%模型預測
유원전력려파기%삼전평%자괄응%모형예측
active power filter%three-level%adaptive control%model predicts
电力有源滤波器(Active power filter,APF)是消除电网中非线性负载产生的电流谐波的有效手段之一。提出一种三相静止坐标下的基于模型预测控制复合控制器,复合控制器由改进的自适应广义积分器和模型预测控制两部分组成。该复合控制策略有效地整合了预测控制和自适应广义积分器的优点,在最大限度利用模型预测进行谐波电流快速跟踪的同时,采取自适应广义积分器对各次谐波进行无静差跟踪控制。所提出的复合控制器与三电平电压空间矢量调相结合,能够消除单独预测控制交流变量时所存在的稳态误差问题和改善系统鲁棒性。详细研究了复合控制器的设计方法,并给出了系统的参数设计和稳定性分析。最后通过实验验证了控制方法的正确性和有效性。
電力有源濾波器(Active power filter,APF)是消除電網中非線性負載產生的電流諧波的有效手段之一。提齣一種三相靜止坐標下的基于模型預測控製複閤控製器,複閤控製器由改進的自適應廣義積分器和模型預測控製兩部分組成。該複閤控製策略有效地整閤瞭預測控製和自適應廣義積分器的優點,在最大限度利用模型預測進行諧波電流快速跟蹤的同時,採取自適應廣義積分器對各次諧波進行無靜差跟蹤控製。所提齣的複閤控製器與三電平電壓空間矢量調相結閤,能夠消除單獨預測控製交流變量時所存在的穩態誤差問題和改善繫統魯棒性。詳細研究瞭複閤控製器的設計方法,併給齣瞭繫統的參數設計和穩定性分析。最後通過實驗驗證瞭控製方法的正確性和有效性。
전력유원려파기(Active power filter,APF)시소제전망중비선성부재산생적전류해파적유효수단지일。제출일충삼상정지좌표하적기우모형예측공제복합공제기,복합공제기유개진적자괄응엄의적분기화모형예측공제량부분조성。해복합공제책략유효지정합료예측공제화자괄응엄의적분기적우점,재최대한도이용모형예측진행해파전류쾌속근종적동시,채취자괄응엄의적분기대각차해파진행무정차근종공제。소제출적복합공제기여삼전평전압공간시량조상결합,능구소제단독예측공제교류변량시소존재적은태오차문제화개선계통로봉성。상세연구료복합공제기적설계방법,병급출료계통적삼수설계화은정성분석。최후통과실험험증료공제방법적정학성화유효성。
Active power filter (APF) is one of the effective means to eliminate the grid harmonic current generated by nonlinear loads. This paper proposes a compound controller based on model predictive control under three-phase static coordinate. The compound controller consists two parts including improved adaptive generalized integrator and model predictive control. The composite control strategy effectively integrates advantages of adaptive generalized integrator and the model predictive control. Steady-state error is conducted by the adaptive generalized integrator under each harmonic current tracking control, at the same time model predictive control is used to track harmonic current at fastest speed. The proposed composite controller combined with three-level voltage space vector phase modulation can eliminate the steady-state error which exists only using the model predictive control strategy and improve system robustness. Detailed study of the composite controller design method is given, as well as the parameters of the system design and stability analysis. Effectiveness and correchness of the control method proposed are finally verified by experiments.