基于MVO算法与改进目标函数的电力系统负荷频率控制

针对风电并网时的随机波动功率、负荷频率控制(load frequency control, LFC)系统参数变化所引起的电力系统频率稳定问题，提出了一种基于智能优化算法与改进目标函数的互联电网LFC系统最优PID控制器设计方法。首先，分析了基于PID控制的含风电互联电力系统LFC闭环模型。其次，在时间乘误差绝对值积分(integral of time multiplied absolute error, ITAE)性能指标的目标函数中考虑了区域控制器的输出信号偏差，对优化目标函数进行改进。采用性能优良的多元宇宙优化(multi-verse optimizer, MVO)算法先计算后验证的思路，寻优获得最优PID控制器参数。最后，以两区域4机组互联电力LFC系统为例，仿真验证了基于MVO算法结合改进目标函数所获得的PID控制器，比基于MVO算法所获得的PID控制器，对阶跃负荷扰动、随机负荷扰动、风电功率偏差扰动以及系统的参数变化，具有相对较好的鲁棒性能。并且，对控制器参数也具有相对较好的非脆弱性指标。

Load frequency control of power systems based on an MVO algorithm and improved objective function

There is a problem of power system frequency stability caused by random fluctuating power and load frequency control (LFC) system parameter changes when wind power is connected to the grid. Thus an optimal PID controller design method based on an intelligent optimization algorithm and improved objective function for an interconnected power grid LFC system is proposed. First, the LFC closed-loop model of an interconnected power system with wind power generation based on PID control is analyzed. Secondly, in the objective function of the performance index of the integral of time multiplied absolute error (ITAE), the output signal deviation of the regional controller is considered, and the optimization objective function is improved. The optimal PID controller parameters are obtained with excellent performance by using the multi-verse optimizer (MVO) algorithm which is calculated first and verified later. Finally, taking the interconnected power LFC system of 4 generators in two regions as an example, the PID controller based on the MVO algorithm, which is obtained by improving the objective function, is verified by simulation. The simulation results show that the PID controller combined with improved objective function has relatively better robustness to step load, random load and wind power deviation disturbances and system parameter change than the PID controller based on the MVO algorithm. It also has a relatively good non-vulnerability index for controller parameters.