期刊文献+

政府监管下综合能源系统不确定性分析及评估 被引量:1

Analysis and Evaluation of the Uncertainty of the Integrated Energy System under Government Regulation
下载PDF
导出
摘要 构建高效的综合能源系统是解决传统能源产能过剩和可再生能源未充分消纳等问题的重要举措。首先构建了政府监管电价下的区域综合能源系统优化调度模型;以最小化总运行成本为目标,涵盖了电、热、冷、风、光以及储能单元,研究了源荷以及电价具有的不确定性,提出风险评估指标;最后通过算例对综合能源的优化调度及不确定性分析方法加以验证。分析结果表明,综合能源系统有助于促进多能互补,提高清洁能源消纳率。提出的不确定性分析方法能促使决策者对不确定因素造成的风险有更加直观的了解,从而制定经济性更优的调度策略。 Construction of a highly effective integrated energy system(IES)is an important measure for solving problems such as excessive conventional energy capacity and insufficient consumption of renewable energy resources.An optimal scheduling model was established for the regional integrated energy system(RIES)under government regulation of electricity price,aiming at minimal total operating cost and covering electricity,heat,cooling,wind,light and energy storage unit.Uncertainties associated with source load and electricity price were studied,and risk evaluation indicators were proposed.Finally,the approaches for optimal scheduling and uncertainty analysis for the integrated energy system were verified through examples.Analysis results indicated that the integrated energy system could help to enhance multi-energy complement and improve consumption rate of clean energy.The proposed uncertainty analysis method could help decision makers to obtain a more direct perception of risks caused by uncertain factors and formulate a scheduling strategy with better economical efficiency.
作者 刘万勋 蒋小亮 关舒丰 周士超 邵红博 Liu Wanxun;Jiang Xiaoliang;Guan Shufeng;Zhou Shichao;Shao Hongbo(State Grid Henan Electric Power Co. Economic and Technological Research Institute, Zhengzhou Henan 450000, China;Shanghai Jiao Tong University, Shanghai 200240, China)
出处 《电气自动化》 2020年第6期67-69,共3页 Electrical Automation
基金 国家电网有限公司总部科技项目资助,项目名称为“政府监管新背景下电网发展评价体系及发展策略优选研究”(52170018000X)。
关键词 政府监管 综合能源系统 多能互补 不确定性分析 风险评估 government regulation integrated energy system multi-energy complement uncertainty analysis risk evaluation
  • 相关文献

参考文献7

二级参考文献130

  • 1JIN Hongguang1, HONG Hui1,2, WANG Baoqun1,2, HAN Wei1,2 & LIN Rumou1,2 1. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100080, China,2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China.A new principle of synthetic cascade utilization of chemical energy and physical energy[J].Science China(Technological Sciences),2005,48(2):163-179. 被引量:35
  • 2王玉龙,崔玉,李鹏,李锐.基于小波分析改进的神经网络模型电力系统负荷预测[J].电网与清洁能源,2015,31(2):16-20. 被引量:32
  • 3曾鸣.新能源电力系统与能源互联网[N].国家电网报,2015-06-01.
  • 4曾鸣.我国向清洁能源转型及其实现过程中的两个关键问题[N].中国电力报,2014-09-26.
  • 5曾鸣.能源革命与能源互联网[EB/OL].[2015-8-10].http://www.cpnn.com.cn/zdyw/201508/120150810_820485.html.
  • 6Rifkin J. The third industrial revolution: how lateral power is transforming energy, economy, and the world[M]. New York: Palgrave MacMillan, 2011: 46-48.
  • 7刘吉臻.新能源电力系统建模与控制[M].北京:科学出版社,2014:12-18.
  • 8Shrouf F, Mimgliotta G. Energy management based on intemet of things: practices and framework for adoption in production management [J]. Journal of Cleaner Production, 2015 (100): 235-246.
  • 9Salahuddin M, Alam K. Intemet usage, electricity consumption and economic growth in Australia: a time. series evidence[J]. Telematics and Informatics, 2015, 32(4): 862-878.
  • 10Jaradat M, Jarrah M, Bousselham A, et al. The internet of energy: smart sensor networks and big data management for smart grid[J]. Procedia Computer Science, 2015(56): 592-597.

共引文献617

同被引文献18

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部