| 信息系统对微电网能量调度经济性的影响量化方法 |
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| 引用本文： | 王妍彦,杨晓东,张有兵,徐登辉,黄晓明,潘红武.信息系统对微电网能量调度经济性的影响量化方法[J].电力自动化设备,2020,40(4):138-145. |
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| 作者姓名： | 王妍彦 杨晓东 张有兵 徐登辉 黄晓明 潘红武 |
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| 作者单位： | 浙江工业大学 信息工程学院，浙江 杭州 310023,浙江工业大学 信息工程学院，浙江 杭州 310023,浙江工业大学 信息工程学院，浙江 杭州 310023,浙江工业大学 信息工程学院，浙江 杭州 310023,国网湖州市供电公司，浙江 湖州 313099,国网湖州市供电公司，浙江 湖州 313099 |
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| 基金项目： | 国家自然科学基金资助项目(51777193)；中国博士后创新人才支持计划资助项目(BX20190126)；浙江省新苗人才计划资助项目(2019R403083) |
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| 摘 要： | 信息系统的失效将会影响微电网能量调度策略的运行经济性,为此提出量化信息系统对微电网能量调度策略经济性影响的分析方法,用于提升信息系统的可靠性。该方法通过研究微电网能量调度机理建立对应的信息系统模型,并结合物理系统拓扑模拟信息物理融合环境下能量调度策略的运行过程。以微电网交互成本和电动汽车用户成本为分析指标,基于模拟的运行过程,该方法能够计算微电网在考虑信息系统失效后的实际经济效益,并通过对模型参数、信息元件及拓扑结构的灵敏度分析有效识别和改善信息系统的薄弱环节。
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| 关 键 词： | 微电网 信息物理融合系统 能量调度策略 经济性 拓扑 |
| 收稿时间： | 2019/9/9 0:00:00 |
| 修稿时间： | 2020/1/17 0:00:00 |
Quantitative method for impact of information system on economic of microgrid energy scheduling |
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| WANG Yanyan,YANG Xiaodong,ZHANG Youbing,XU Denghui,HUANG Xiaoming and PAN Hongwu.Quantitative method for impact of information system on economic of microgrid energy scheduling[J].Electric Power Automation Equipment,2020,40(4):138-145. |
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| Authors: | WANG Yanyan YANG Xiaodong ZHANG Youbing XU Denghui HUANG Xiaoming and PAN Hongwu |
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| Affiliation: | College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,State Grid Huzhou Power Supply Company, Huzhou 313099, China and State Grid Huzhou Power Supply Company, Huzhou 313099, China |
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| Abstract: | The information system failure directly impacts the economic operation of the microgrid energy scheduling. In this regard, an analysis method to quantify this impact as a result of the information system failure is proposed, which positively contributes to improving the information system reliability. A model of the information system is established based on the microgrid energy control strategies. Furthermore, the energy scheduling strategy in the environment of cyber-physical system is simulated by combining the physical microgrid system topology. Subsequently, a quantitative approach to calculate the costs of both microgrids and electric vehicle users is developed. Based on this, the actual economic benefits of the microgrid considering the information system failure can be obtained. At the same time, the weak links of the information system can be effectively identified and improved by using the sensitivity analysis of the model parameters, information components and topology. |
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| Keywords: | microgrid cyber-physical system energy scheduling strategy economic topology |
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