基于SOA的水轮机调速系统PID参数优化

针对现有优化方法复杂、易陷入局部最优等问题,为水轮机调速系统提出了一种基于人群搜索算法的比例-积分-微分控制参数优化方法.为验证该算法的可行性,建立了水轮机调速系统非线性模型,选取水轮发电机组转速偏差的积分时间绝对误差指标作为目标函数进行优化.为验证优化结果的有效性,将人群搜索算法的控制效果与参考文献中粒子群算法的控制效果进行了对比分析.仿真结果表明,在5%频率扰动下,人群搜索算法自第29次迭代起已收敛,经其优化的系统能在8秒内趋于稳定,此时系统的超调量为1.6%;在10%负荷扰动下,人群搜索算法自第25次迭代起已收敛,其优化效果与粒子群算法优化效果基本相同,两者均在10秒内让系统趋于稳定,但人群搜索算法优化的积分时间绝对误差指标比粒子群算法优化的积分时间绝对误差指标小,表明人群搜索算法具有更好的搜索功能,在一定程度上改善了孤网运行条件下机组的动态性能.

Optimization of PID parameters of hydraulic turbine governing system based on SOA

In view of the existing optimization methods that were complex and easy to fall into local optimum, a method optimizing proportional-integral-differential control parameter based on seeker optimization algorithm was proposed for hydraulic turbine governing system. In order to verify the feasibility of the algorithm, a nonlinear model of hydraulic turbine governing system was established, and the integrated time absolute error of the rotational speed error in the hydraulic turbine generating set was used as the objective function of the optimization algorithm. In order to verify the effectiveness of the optimization results, the control effect of seeker optimization algorithm was compared with that of particle swarm optimization in the references. The simulation results show that under 5% frequency disturbance, seeker optimization algorithm has converged since the 29th iteration, and the system optimized by seeker optimization algorithm can be stable within 8 seconds, and the system overshoot is 1.6% at this time; under 10% load disturbance, seeker optimization algorithm has converged since the 25th iteration. The optimization effect of seeker optimization algorithm is basically the same as that of particle swarm optimization. Both stabilize the system within 10 seconds, but that by the seeker optimization algorithm is smaller than by the particle swarm optimization, which indicates that seeker optimization algorithm has a better search function and can partly improve the dynamic performance of the unit under isolated operating conditions.