基于人工智能的电力调度实时发电干扰稳定控制方法  

Real Time Generation Disturbance Stability Control Method for Power Dispatchi ng Based on Artificial In telligence

作　　者：贺鸿鹏 马成龙 张伟 纪巍 He Hongpeng;Ma Chenglong;Zhang Wei;Ji Wei(State Grid East Iner Mongolia Electric Power Supply Co.,Ld.,Huhaote Nei Mongol 010010,China)

机构地区：[1]国网内蒙古东部电力有限公司,内蒙古呼和浩特010010

出　　处：《电气自动化》2022年第3期79-81,84,共4页Electrical Automation

摘　　要：针对传统控制方法识别电力参数的能力较弱、扰稳定控制效果不佳等问题,提出一种基于人工智能的电力调度实时发电干扰稳定控制方法。采用小干扰稳定性分析法,提取实时发电扰稳定特征行为;构建自回归滑动平均模型,设计自适应广域阻尼控制器,强化数据识别效果;设置爬坡速度预期指标,基于人工智能技术调整自适应偏置值,实现电力调度实时发电扰稳定控制。试验结果表明:与传统方法相比,在正常发电频率下,控制方法都能获得接近50 MHz的控制效果;异常发电频率下,仅新方法能够将发电频率控制在50 MHz附近,可见新的控制方法实现了研究预期。In view of the problems that the traditional control methods have weak ability to identify power parameters and poor performance of disturbance stability control,a real-time generation disturbance stability control method for power dispatching based on artificial intelligence was proposed. The overall idea is as follows: using small disturbance stability analysis method to extract real-time power generation disturbance stability characteristic behavior;constructing an autoregressive moving average model,designing an adaptive wide-area damping controller,and strengthening the data recognition effect;setting the expected index of climbing speed,and adjusting the adaptive bias value based on manual intelligent technology to realize real-time generation disturbance stable control of power dispatching. The experimental results show that compared with the traditional method,this control method can achieve a control effect close to 50 MHz under the normal power generation frequency;under the abnormal power generation frequency,only the new method can control the power generation frequency near 50 MHz. It can be seen that this new control method realizes the research expectation.

关 键 词：人工智能 电力调度 实时发电 干扰稳定控制 自回归滑动平均模型 广域阻尼控制器 

分 类 号：TP71[自动化与计算机技术—检测技术与自动化装置]