| 含CAES和多类型柔性负荷的电力系统多时间尺度电能-备用联合优化调度 |
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| 引用本文： | 鄢发齐,李姚旺,汪旸,徐浩,苗世洪,周良松,姚占东,沈宇亮.含CAES和多类型柔性负荷的电力系统多时间尺度电能-备用联合优化调度[J].电力自动化设备,2019,39(12). |
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| 作者姓名： | 鄢发齐 李姚旺 汪旸 徐浩 苗世洪 周良松 姚占东 沈宇亮 |
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| 作者单位： | 国家电网华中电力调控分中心，湖北 武汉 430077,华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室 电力安全与高效湖北省重点实验室，湖北 武汉 430074,国家电网华中电力调控分中心，湖北 武汉 430077,国家电网华中电力调控分中心，湖北 武汉 430077,华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室 电力安全与高效湖北省重点实验室，湖北 武汉 430074,华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室 电力安全与高效湖北省重点实验室，湖北 武汉 430074,华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室 电力安全与高效湖北省重点实验室，湖北 武汉 430074,华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室 电力安全与高效湖北省重点实验室，湖北 武汉 430074 |
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| 基金项目： | 国家自然科学基金资助项目(51777088)；国家重点基础研究发展计划(973计划)项目(2015CB251301) |
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| 摘 要： | 为了应对大规模风电接入,压缩空气储能(CAES)技术和柔性负荷主动响应技术在近年来发展迅速。以含CAES电站、可转移负荷、可中断负荷、可直接负荷控制(DLC)负荷、风电场、常规机组的电力系统为研究对象,综合考虑CAES电站和多类型柔性负荷在日前、日内、实时时间尺度下的调度特性及其在备用与调频方面的应用潜能,建立考虑源-荷-储协调互动的电力系统多时间尺度电能-备用联合调度模型。该模型以最小化电网运营商的总支出成本为优化目标,能够同时制定系统的发电计划、旋转备用购置与调用计划和自动发电控制(AGC)参与因子配置计划。基于修改版PJM-5Bus系统的仿真结果验证了所建调度模型的有效性。
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| 关 键 词： | 压缩空气储能 柔性负荷 多时间尺度调度 有功优化 备用优化 联合优化 电力系统 模型 |
| 收稿时间： | 2019/1/22 0:00:00 |
| 修稿时间： | 2019/9/4 0:00:00 |
Multi-time scale joint optimal dispatch of energy and reserve in power system with CAES and multi-type flexible load |
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| YAN Faqi,LI Yaowang,WANG Yang,XU Hao,MIAO Shihong,ZHOU Liangsong,YAO Zhandong and SHEN Yuliang.Multi-time scale joint optimal dispatch of energy and reserve in power system with CAES and multi-type flexible load[J].Electric Power Automation Equipment,2019,39(12). |
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| Authors: | YAN Faqi LI Yaowang WANG Yang XU Hao MIAO Shihong ZHOU Liangsong YAO Zhandong and SHEN Yuliang |
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| Affiliation: | Central China Electric Power Dispatching and Control Sub-center of State Grid, Wuhan 430077, China,Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,Central China Electric Power Dispatching and Control Sub-center of State Grid, Wuhan 430077, China,Central China Electric Power Dispatching and Control Sub-center of State Grid, Wuhan 430077, China,Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China,Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China and Hubei Electric Power Security and High Efficiency Key Laboratory, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | In order to cope with the integration of large-scale wind power, CAES(Compressed Air Energy Storage) technology and flexible load active response technology have been developed rapidly in recent years. Taking the power system with CAES plants, TLs(Time-shifting Loads),ILs(Interruptible Loads),DLC(Direct Load Control) loads, wind farms and conventional generators as the research object, comprehensively considering the dispatch characteristics of CAES plants and multi-type flexible loads in day-ahead, intraday and real-time scales and their application potential in reserve and frequency modulation, a multi-time scale joint dispatch model of energy and reserve is established for power system, which considers the source-load-energy storage coordination. The proposed model takes the minimum total cost of grid operators as the optimization objective, and can simultaneously set up the power generation plan, the reserve purchase and dispatch plan and the allocation plan of AGC(Automatic Generation Control) participation factors. Simulative results of the modified PJM-5Bus system verify the effectiveness of the proposed dispatch model. |
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| Keywords: | compressed air energy storage flexible load multi-time scale dispatch active power optimization reserve optimization joint optimization electric power systems models |
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