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计算机系统应用英文版:2020,29(8):105-112
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新能源多时空尺度仿真系统
(1.中国科学院 计算机网络信息中心, 北京 100190;2.中国科学院大学, 北京 100049;3.郑州大学, 郑州 450001)
Multiple Spatial and Temporal Scales Simulation System of New Energy
(1.Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.Zhengzhou University, Zhengzhou 450001, China)
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Received:January 20, 2020    Revised:February 25, 2020
中文摘要: 在全球消耗的能源中, 相较于化石能源发电, 利用风电和光电等新能源发电有利于能源安全和社会可持续发展. 由于风力发电和太阳能发电具有区域性、间歇性、随机性和难以预测性等特点, 大规模风电、光电并网对电力系统整体调度带来严重挑战. 本文在中长期风电接纳能力评估模型的基础上, 对目标函数和区域间联络线进行了优化, 并加入了光伏机组出力约束. 本系统在某省和地区进行了实际应用, 通过可视化图表展示辅助该省电网电力系统决策发电计划以及机组检修安排, 减少新能源弃电现象的发生, 对电力系统实际调控及规划提供有效的指导.
Abstract:Compared with fossil energy power generation, the use of new energy such as wind power and photovoltaic power generation is conducive to energy security and social sustainable development. However, large-scale wind and photovoltaic power in national grid are seriously challenged by the overall dispatch of the power system, due to the regional, intermittent, random and unpredictable of wind and light. This study optimizes the objective function and the inter-regional tie-lines of the mid-to-long-term wind power acceptance capacity assessment model, and adds photovoltaic unit output constraints. The system has been practically applied in a province and a region, assisting the grid power system to determine power generation plans and unit maintenance arrangements. It can reduce the occurrence of new energy abandonment, and provide effective guidance for the actual dispatch and planning of power systems through visualized results.
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基金项目:国家重点研发计划(2017YFB0202202); 国家电网有限公司总部科技项目(SGGR0000JSJS1800569)
引用文本:
杨智策,王珏,操海洲,王晓光,王彦棡.新能源多时空尺度仿真系统.计算机系统应用,2020,29(8):105-112
YANG Zhi-Ce,WANG Jue,CAO Hai-Zhou,WANG Xiao-Guang,WANG Yan-Gang.Multiple Spatial and Temporal Scales Simulation System of New Energy.COMPUTER SYSTEMS APPLICATIONS,2020,29(8):105-112