单神经元算法在水电协调控制中的应用

Application of single neuron algorithm in hydropower coordination control

新能源的发展导致电力消纳问题和矛盾,引起电网频率波动,对电网的安全极为不利,为此对水电的快速负荷响应进行研究,并以此作为互补电源来弥补新能源发展所带来的缺陷,具有一定的意义。鉴于机组中含有非线性环节以及导叶、水头对功率的非线性特性,常规算法已不能满足要求。本文在常规算法的基础上引入单神经元算法,并通过PSO算法对单神经元中的比例系数进行优化,完成了AGC和一次调频的协调控制,并加快了响应速度,缩短了稳态时间,为机组的安全运行提供了保障。

Recently, the strong development of new energy relieves the energy crisis on a certain extent and improves the environmental conditions, but it also leads power consumption problems and contradictions, causing power grid frequency fluctuations which is unsafe to the grid, so we study the rapid load response of hydropower and as a complementary power source, it has a certain significance to make up for the defects the new energy development brought. In view of the unit contains non- linear links and the non-linearity of the guide vane and head to the power, the conventional algorithm has been unable to meet the requirements. In this paper, the single neuron algorithm is introduced on the basis of the conventional algorithm and optimizes the proportional coefficient in the single neuron by PSO algorithm, completing the coordination control of AGC and primary frequency and accelerating the response speed and shortening the steady time which provides a guarantee for the safe operation of the unit