AGC 30模型的最优负载调度的输入数据分析与研究  

Input data analysis and research on optimal load scheduling of AGC 30 model

作　　者：李东旭 王佳 赵崇 赵芳 金田 LI Dongxu;WANG Jia;ZHAO Chong;ZHAO Fang;JIN Tian(Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510620,China)

机构地区：[1]广东电网有限责任公司广州供电局,广东广州510620

出　　处：《电气应用》2022年第12期83-89,共7页Electrotechnical Application

摘　　要：近年来,太阳能或风力发电等可再生能源得到了推广。然而,可再生能源输出不稳定,因为受天气等因素的影响,会导致系统频率的波动。因此,有必要分析电力系统可再生能源对供需平衡和频率波动的影响。在不使用发电机调度工具和经济负荷调度控制(EDC)模型的情况下,提出了一种对AGC30模型的单元承诺(UC)和经济负荷调度控制(EDC)输入数据进行外推的方法。在AGC30电力系统模型上进行了数值模拟,验证了所提方法的有效性。AGC 30模型的开发是为了详细分析系统频率。In recent years, the use of renewable energy sources such as solar or wind power has been promoted.However, renewable energy output is not stable as it is affected by factors such as weather and can cause fluctuations in the system frequency. Therefore, it is necessary to analyze the impact of renewable energy in power systems on supply and demand balance and frequency fluctuations. This paper presents a method for extrapolating the cell commitment(UC) and economic load scheduling control(EDC) input data of the AGC 30 model without using generator scheduling tools and economic load scheduling control(EDC) models. Numerical simulations are carried out on an AGC 30-machine power system model to verify the effectiveness of the proposed method. The AGC 30 model was developed for a detailed analysis of system frequencies.

关 键 词：自动发电控制 发电机调度工具 经济负荷调度控制 

分 类 号：TM73[电气工程—电力系统及自动化]