为了解决实际通信网络中的噪声和传统调度模式的技术局限问题,提出一种电力系统分布式经济调度方法。区别于集中式调度,首先构造了可再生能源机组的分布式调度结构。然后运用随机近似型一致性算法,通过引入一致性增益函数,有效抑制了通信噪声,使所有智能体的状态收敛到同一随机变量。仿真算例证明所提调度方法的有效性,在保证收敛性的同时,可实现机组输出比例一致,并降低发电总成本。
In order to solve problems of noise in actual communication network and technical limitation of traditional dispatch mode, a distributed economic dispatch method for power systems is proposed. Different from centralized dispatch, distributed dispatch structure of renewable energy generators is constructed at first. Then, based on random approximation consistency algorithm, communication noise is effectively suppressed by introducing consistency gain function, and all agent states are converged to the same random variable. Simulation results prove validity of the proposed method, achieving uniform output ratio of renewable generators and reducing total generation cost.