【摘要】 为提高电力系统频率控制精度，保持频率稳定，针对自抗扰控制(active disturbance rejectioncontrol, ADRC)在多区域互联电力负荷频率控制(loadfrequencycontrol,LFC)系统中的应用，提出一种基于自适应压缩系数改进的引力搜索算法(gravitysearchalgorithm,GSA)，用于优化自抗扰控制参数。改进算法结合了引力搜索算法的搜索能力和基于粒子群优化的自适应压缩系数的动态收敛能力，兼顾搜索和寻优能力，解决了算法早熟问题。首先，建立了双区域互联电力负荷频率控制模型，模型机组先采用线性的非再热式汽轮机进行仿真，再推广到考虑调速器死区以及发电速率约束的非线性再热式汽轮机。仿真结果表明，对于2种控制对象，改进算法优化的自抗扰控制器，表现出相对于原算法更优的跟踪性能、鲁棒性以及更小的偏差值，具有更高的应用价值。更多还原

【Abstract】 In order to improve the frequency control precision of power system and maintain the frequency stability, an improved gravity search algorithm is proposed based on adaptive compression coefficient to optimize the parameters of active disturbance rejection control, which can be applied in multi area interconnected power load frequency control system. The improved algorithm combines two kinds of abilities:the algorithmic ability of gravity search algorithm and the dynamic convergence ability of auto compressed particle swarm optimization. It considers the search and optimization ability so as to solve the premature problem of the algorithm. Firstly, a frequency control model of dual area interconnection power load is established. A linear non-reheat steam turbine is used to simulate the model unit. Then it is extended to the nonlinear reheat turbine considering dead time of governor and generation rate constraints. The simulation results show that for the two control plants, the active disturbance rejection control optimized by the improved algorithm has higher application value in tracking performance, robustness and smaller deviation value than the original algorithm.更多还原