| 引用本文: | 李晖,王智冬,王虓,彭超逸,侯云鹤,殷文倩.基于随机模型预测控制的电网联合调度[J].电力自动化设备,2019,39(7): |
| LI Hui,WANG Zhidong,WANG Xiao,PENG Chaoyi,HOU Yunhe,YIN Wenqian.Coordinated dispatch of power grid based on stochastic model predictive control[J].Electric Power Automation Equipment,2019,39(7): |
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| 基于随机模型预测控制的电网联合调度 |
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李晖1, 王智冬1, 王虓1, 彭超逸2,3, 侯云鹤3,4, 殷文倩3,4
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1.国网经济技术研究院有限公司，北京 102209;2.南方电网电力调度控制中心，广东 广州 510530;3.香港大学 电机电子工程学系，香港特别行政区 999077;4.香港大学 深圳研究院，广东 深圳 518057
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| 摘要: |
| 针对大规模风电并网给电力系统运行调度带来的问题，指出风电在小时级的波动性和不确定性是风电并网给系统运行带来的根本挑战，为应对该挑战，利用随机模型预测控制对含负荷响应的系统联合调度运行进行建模，并从数学上证明运行策略的全局最优性。通过算例仿真验证了负荷响应在小时级的灵活性对系统运行的经济性和风电消纳的重要作用。 |
| 关键词: 风电 小时级时间尺度 负荷响应 随机模型预测控制 |
| DOI：10.16081/j.issn.1006-6047.2019.07.005 |
| 分类号:TM761;TM614 |
| 基金项目:国家重点研发计划支持项目(2016YFB0900100) |
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| Coordinated dispatch of power grid based on stochastic model predictive control |
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LI Hui1, WANG Zhidong1, WANG Xiao1, PENG Chaoyi2,3, HOU Yunhe3,4, YIN Wenqian3,4
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1.State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209, China;2.China Southern Power Grid Dispatching Center, Guangzhou 510530, China;3.Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong 999077, China;4.Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China
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| Abstract: |
| Aiming at the problems brought by large-scale wind power integration to the operation and dispatch of power system, it is pointed out that the hourly fluctuation and uncertainty of wind power are the fundamental challenges, for which, the stochastic model predictive control is used for the modelling of system combined dispatch and operation with load response, and the global optimality of the operation strategy is verified mathematically. Case simulation verifies the importance of the flexibility of load response in hourly time scale to the economy of system operation and wind power accommodation. |
| Key words: wind power hourly time scale load response stochastic model predictive control |
