面向大规模新能源消纳的火电机组平行控制

Parallel Control of Thermal Power Unit for Large-scale Renewable Energy Accommodation

为保证电力系统大规模新能源消纳过程的安全、经济和环保性能,进一步提高电厂智能化水平,基于数字孪生和平行智能理论,构建了火电机组平行控制系统。首先,基于典型火电机组类型,融合动态特性建模和智能控制等关键技术建立人工控制系统,并依托人工控制系统进行计算实验和统计评估,选取最优动态特性模型及控制方法用于实际物理发电过程的智能运行指导,以便系统性能寻优;然后,通过人工控制系统与实际系统的平行执行和反馈校正,提升火电机组的灵活、智能调节能力。结果表明:基于所设计的平行控制框架,机组在30%~100%宽负荷运行工况下,平均建模误差小于0.5%,且负荷调节过程中最大偏差小于额定值的1%,运行灵活性显著。

To guarantee the safety,economy and environment friendliness of power system in large-scale renewable energy accommodation process,and further improve the intelligent level of the power plant,a parallel control system was designed for thermal power units based on the theory of digital twin and parallel intelligence.Firstly,based on several typical thermal power units,some critical technics such as the dynamics modeling and intelligent control were coordinated to develop the artificial control system.Then,through the computation experiment and evaluation of artificial control system,the optimal dynamics model and control algorithms were determined for guiding the operation of actual power generation process,which provided the performance optimation for system.Moreover,the flexible and intelligent regulating ability of thermal power unit was ensured via parallel execution and feedback modification between the constructed artificial system and actual system.Results show that based on the proposed parallel control scheme,the average modeling error of the plant is less than 0.5% under the wide load operation conditions of 30%-100%,and the maximum deviation during load regulation process is less than 1% of the rated value,so the operation flexibility is remarkable.