| 互联电网恢复控制的自适应优化 |
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| 引用本文： | 王昊昊,薛禹胜,Zhaoyang DONG,Gerard LEDWICH,刘玉田.互联电网恢复控制的自适应优化[J].电力系统自动化,2007,31(22):1-5. |
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| 作者姓名： | 王昊昊 薛禹胜 Zhaoyang DONG Gerard LEDWICH 刘玉田 |
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| 作者单位： | 东南大学电气工程学院,江苏省南京市,210096;国网南京自动化研究院/南京南瑞集团公司,江苏省南京市,210003;国网南京自动化研究院/南京南瑞集团公司,江苏省南京市,210003;东南大学电气工程学院,江苏省南京市,210096;University of Queensland, Australia;Queensland University of Technology, Australia;山东大学电气工程学院,山东省济南市,250061 |
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| 基金项目： | 国家自然科学基金，国家电网公司资助项目，Australian Research Council Project |
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| 摘 要： | 建立统一考虑负荷恢复的收益、控制代价及恢复过程中系统风险的恢复控制优化模型.提出2层优化框架,按"分区独立优化、协调动态分区"方式自适应优化,克服离线预案依据的场景及措施优先顺序不变的缺点.同时将研究从自下而上(bottom-up)策略拓展到自上而下(top-down)策略和混合策略,包括各类策略内部的优化和不同策略之间的协调.基于自适应优化和风险决策的观点,设计模块算法.按大停电防御体系的信息、分析、控制3个要素,设计在线决策支持系统的框架模型,阐明各功能模块间的逻辑关系,并用仿真验证了其有效性和自适应性.
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| 关 键 词： | 恢复控制 自适应优化 协调优化 风险管理 决策支持系统 |
| 收稿时间： | 2007/8/21 0:00:00 |
| 修稿时间： | 2007-08-21 |
Adaptive Optimal Restoration Control for Interconnected Grids |
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| WANG Haohao,XUE Yusheng,Zhaoyang DONG,Gerard LEDWICH,LIU Yutian.Adaptive Optimal Restoration Control for Interconnected Grids[J].Automation of Electric Power Systems,2007,31(22):1-5. |
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| Authors: | WANG Haohao XUE Yusheng Zhaoyang DONG Gerard LEDWICH LIU Yutian |
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| Affiliation: | 1.Southeast University, Nanjing 210096, China; 2. Nanjing Automation Research Institute, Nanjing 210003, China;3. University of Queensland, Australia; 4. Queensland University of Technology, Australia;5. Shandong University, Jinan 250061, China |
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| Abstract: | The model of optimal restoration control considering the income from restored loads and control cost,as well as the control risk is presented.A two-layer framework for optimizing is proposed,which uses a procedure of "parallel optimization for subareas and dynamic coordination among subareas",to overcome the drawback of offline made restoration schemes based on fixed scenarios and fixed priority for countermeasures.Moreover,restoration strategy is extended from bottom-up one,which is widely discussed nowadays,to top-down one as well as hybrid one.Studies include the inner optimization of each strategy and coordination between different strategies.Based on a viewpoint of adaptive optimization and risk decision-making,related modules and algorithms are designed.A framework of the online decision support system is presented,the three parts of which are information collecting,analysis and control.The validity and adaptiveness of the decision support system are verified by simulations. |
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| Keywords: | restoration control adaptive optimization coordinative optimization risk management decision support system |
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