一种基于编码算法的AGC系统PID控制器最佳增益的智能确定技术

K. Chandrasekhar, K. Vaisakh
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引用次数: 2

摘要

自动发电控制(AGC)是电力系统中由于负荷变化较大或受到其他干扰,为发电机组提供控制频率和配线潮流的电力需求信号。实际功率出现较大的不平衡,导致频率偏离标称值较大,对电力系统的安全运行构成威胁。为了避免这种情况,本文提出了基于复合微分进化(CODE)的比例积分导数(PID)控制器来维持系统频率的紧急控制。与粒子群优化和经典的基于DE的PID增益相比,基于CODE的最优增益可以获得更好的频率和线路功率变化的最优瞬态响应。
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An intelligent technique based on code algorithm for determination of optimum gain values of PID controller in an AGC system
Automatic generation control (AGC) of a power system provides power demand signals for power generators to control frequency and tie-line power flow due to the large load changes or other disturbances. Occurrence of large real power imbalance causes large frequency deviations from its nominal value which may be a threat to secure operation of power system. To avoid such situation, emergency control to maintain the system frequency using composite differential evolution (CODE) based proportional integral-derivative (PID) controller is proposed in this paper. CODE based optimum gains give better optimal transient response of frequency and tie line power changes compared to particle swarm optimization and classical DE based PID gains.
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