摘要
在厨余垃圾处理厂中,为了充分利用分布式光伏发电系统,满足厂用电需求,减少电网用电量的同时降低对电网的冲击,提出基于模型预测控制的分布式发电系统优化调度策略。首先,对分布式光伏发电系统出力进行日前预测,结合厂用电计算出对主网用电量的需求计划。然后,基于模型预测控制对储能系统出力进行滚动优化调度,通过合理调整储能系统出力来平抑分布式光伏发电系统出力预测误差。最后,以某厨余垃圾处理厂实际算例进行验证,并对其经济效益与环境效益进行测算,结果表明所提策略具有较高的环境和经济效益。
To make full use of the distributed power generation system in the food waste treatment plant,meet the plant power demand,and reduce the power consumption of the grid while reducing the impact on the grid,the optimal dispatching strategy of the distributed power generation system based on model prediction control is proposed.Firstly,the power output of distributed power generation system is day-ahead predicted,and the load demand plan for upper grid power is calculated by combining with plant power consumption.Then,the output of energy storage system is optimally dispatched on a rolling basis based on model prediction control,and the prediction error of distributed power generation system is suppressed by reasonably adjusting the power output of energy storage system.Finally,the actual example of a waste treatment plant is verified,and its economic and environmental benefits are measured.The results show that the proposed strategy has high environmental and economic benefits.
作者
李安乐
易志刚
彭星
LI Anle;YI Zhigang;PENG Xing(Hunan Renhe Environment Company Limited,Changsha 410005,China)
出处
《湖南电力》
2022年第4期75-80,共6页
Hunan Electric Power
关键词
分布式发电系统
厨余垃圾处理厂
模型预测控制
优化调度
distributed generation system
food waste treatment plant
model predictive control
optimal scheduling
作者简介
李安乐(1974),男,工程师,主要研究方向为工业与民用电气设计、分布式发电技术研究和能量管理。
