| 引用本文: | 钟永洁,李玉平,胡兵,张玮,齐以年,孙永辉.基于合作博弈的能源互联网经济能效分层协同优化调度[J].电力自动化设备,2022,42(1): |
| ZHONG Yongjie,LI Yuping,HU Bing,ZHANG Wei,QI Yinian,SUN Yonghui.Hierarchical collaborative optimal scheduling of economy energy efficiency in energy internet based on cooperative game[J].Electric Power Automation Equipment,2022,42(1): |
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| 基于合作博弈的能源互联网经济能效分层协同优化调度 |
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钟永洁1,2, 李玉平1,2, 胡兵1,2, 张玮1,2, 齐以年1,2, 孙永辉3
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1.国电南京自动化股份有限公司，江苏 南京 210032;2.南京国电南自电网自动化有限公司，江苏 南京 211153;3.河海大学 能源与电气学院，江苏 南京 210098
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| 摘要: |
| 在考虑园区与区域能源互联网互动的背景下，提出了园区与区域能源互联网互动分层基本架构，说明了地理因素、调度因素、能量管理因素下的分层现象；在建立下层园区与上层区域能源互联网模型的基础上，提出了下层园区能源互联网日前?效率能效优化调度模型和上层区域能源互联网日前经济优化调度模型，并将能效、经济多目标协同优化调度问题映射到合作博弈策略中；详细构建了基于合作博弈的分层协同优化调度求解流程，阐述了外层合作博弈和内层合作博弈的效果与作用。最后，通过算例分析对比验证了基于合作博弈的分层协同优化模型与方法的合理性和优越性。 |
| 关键词: 能源互联网 综合能源系统 合作博弈 协同优化调度 经济能效 |
| DOI：10.16081/j.epae.202112018 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(62073121) |
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| Hierarchical collaborative optimal scheduling of economy energy efficiency in energy internet based on cooperative game |
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ZHONG Yongjie1,2, LI Yuping1,2, HU Bing1,2, ZHANG Wei1,2, QI Yinian1,2, SUN Yonghui3
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1.Guodian Nanjing Automation Co.,Ltd.,Nanjing 210032, China;2.Nanjing SAC Power Grid Automation Co.,Ltd.,Nanjing 211153, China;3.College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
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| Abstract: |
| Under the background of considering interaction between the park-level and regional energy internet, the basic framework of interaction between the park-level and regional energy internet is proposed, and the hierarchical phenomenon due to the geographical factors, scheduling factors and energy management factors is explained. On the basis of establishing the models of lower layer park-level and upper layer regional energy internet, the day-ahead exergy efficiency optimal scheduling model of the lower layer park-level energy internet, and the day-ahead economic optimal scheduling model of the upper layer regional energy internet are proposed, meanwhile the multi-objective collaborative optimal scheduling problem of energy efficiency and economy is mapped into the cooperative game strategy. Then, the solution process of hierarchical collaborative optimal scheduling based on cooperative game is constructed in detail, and the effects and functions of cooperative game in both outer layer and inner layer are expounded. Finally, the rationality and superiority of the hierarchical collaborative optimal model and method based on cooperative game are verified by example analysis and comparison. |
| Key words: energy internet integrated energy system cooperative game collaborative optimal scheduling econo-my energy efficiency |
