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直流用电分区内自适应时间尺度能量优化预测控制
引用本文:易文飞,司鑫尧,陈庆,刘海涛,季宇,熊雄,潘狄,金国彬.直流用电分区内自适应时间尺度能量优化预测控制[J].中国电力,2021,54(10):97-103.
作者姓名:易文飞  司鑫尧  陈庆  刘海涛  季宇  熊雄  潘狄  金国彬
作者单位:1. 国网江苏省电力有限公司电力科学研究院,江苏 南京 211103;2. 国网江苏省电力有限公司,江苏 南京 211000;3. 中国电力科学研究院有限公司,北京 100192;4. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林 吉林 132012
基金项目:国家重点研发计划资助项目(2018YFB0904700)
摘    要:整合新能源发电、储能、柔性负荷并联运行的直流配电网用电终端是直流配电网优化运行的重要执行环节。针对固定的能量优化执行时间尺度存在的局限性,提出一种含灵活调控单元的直流用电分区内自适应时间尺度能量优化预测控制。该方法基于间歇式电源在直流用电分区内的电源出力占比自适应调整能量优化执行时间尺度;同时,综合上级直流配电网优化指令,基于无模型自适应预测控制实现直流用电分区内自适应时间尺度能量优化预测执行控制。仿真结果表明:提出的能量优化预测控制方法可以实现执行时间尺度的自适应调整;在灵活调控单元充裕条件下,可实现上级直流配电网能量优化调度指令的快速、准确跟踪执行。

关 键 词:直流用电  能量优化  自适应  时间尺度  预测控制  
收稿时间:2020-11-10
修稿时间:2021-03-01

Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone
YI Wenfei,SI Xinyao,CHEN Qing,LIU Haitao,JI Yu,XIONG Xiong,PAN Di,JIN Guobin.Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone[J].Electric Power,2021,54(10):97-103.
Authors:YI Wenfei  SI Xinyao  CHEN Qing  LIU Haitao  JI Yu  XIONG Xiong  PAN Di  JIN Guobin
Affiliation:1. Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211103, China;2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211000, China;3. China Electric Power Research Institute, Beijing 100192, China;4. Key Laboratory of Modern Power System Simulation and Control& Renewable Energy Technology Ministry of Education (Northeast Electric Power University), Jilin 132012, China
Abstract:The integration of new energy generation, energy storage and flexible load parallel operation of the power terminal is an important part of DC distribution network optimal operation. In view of the limitations of the fixed energy optimization execution timescale, an adaptive timescale energy optimal predictive control in the DC power consumption zone with flexible dispatching units is proposed. The method is based on the adaptive adjustment of the energy output time scale of the power output ratio of the intermittent power supply in the DC power partition. At the same time, the lower-level comprehensive upper-level DC distribution network optimization instructions which are based on model free adaptive predictive control to achieve adaptive timescale energy optimal predictive control in the DC power consumption zone. The simulation results show that the proposed energy optimal predictive control method can realize the adaptive adjustment of the execution timescale, and under the condition that the flexible dispatching units are abundant, else and it can realize the fast and accurate tracking and execution of the energy optimal dispatching instruction of the superior DC distribution network.
Keywords:DC power consumption  energy optimization  adaptive  timescale  predictive control  
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