CAJ | 학술논문

将PI控制器与预测函数算法相结合，利用粒子群算法优化整定其参数，提出了一种新型的基于粒子群优化的PI预测函数励磁控制器的设计方法。该算法具有广义上的PI控制器的两个参数，同时具有预测函数算法对模型要求低和上升速度快等优点，同时利用粒子群算法优化PI参数，使其克服了传统PI控制器参数难以整定的缺点。仿真结果表明该算法不仅能有效的解决机端电压偏移问题，还能有效的抑制电网低频振荡，且具有较好的鲁棒性，同时PI参数整定方便，为电力系统稳定性控制提供了一种新型有效的方法。
장PI공제기여예측함수산법상결합，이용입자군산법우화정정기삼수，제출료일충신형적기우입자군우화적PI예측함수려자공제기적설계방법。해산법구유엄의상적PI공제기적량개삼수，동시구유예측함수산법대모형요구저화상승속도쾌등우점，동시이용입자군산법우화PI삼수，사기극복료전통PI공제기삼수난이정정적결점。방진결과표명해산법불부능유효적해결궤단전압편이문제，환능유효적억제전망저빈진탕，차구유교호적로봉성，동시PI삼수정정방편，위전력계통은정성공제제공료일충신형유효적방법。
It proposes a new design of excitation control er of PI prediction function, combining the algorithm of PI and the algorithm of Prediction Function, and tuning parameters based on PSO.The improved algorithm does not only have the two parameters of the PI control er in a broad sense, but also have the advantages of lower degree of precision to parametric models and rising fast, etc., at the same time using PSO to tune two parame-ters of PI .This improved algorithm also overcome the shortage of difficult to tuning PI control er parameters. The simulation results indicate that this algorithm can solve the problem of terminal voltage offset effectively and control the low frequency oscil ation of power grid effective ly, have bette r robuts ness, and to tune parameters, providing a new effective method of the control of the stability of power system.