文章摘要
沈欣炜,郭庆来,许银亮,等.考虑多能负荷不确定性的区域综合能源系统鲁棒规划[J].电力系统自动化,2019,43(7):34-41. DOI: 10.7500/AEPS20180511003.
SHEN Xinwei,GUO Qinglai,XU Yinliang, et al.Robust Planning Method for Regional Integrated Energy System Considering Multi-energy Load Uncertainties[J].Automation of Electric Power Systems,2019,43(7):34-41. DOI: 10.7500/AEPS20180511003.
考虑多能负荷不确定性的区域综合能源系统鲁棒规划
Robust Planning Method for Regional Integrated Energy System Considering Multi-energy Load Uncertainties
DOI:10.7500/AEPS20180511003
关键词: 能源集线器  不确定性  综合能源系统  鲁棒规划
KeyWords: energy hub  uncertainty  integrated energy system  robust planning
上网日期:2019-03-06
基金项目:国家自然科学基金资助项目(51537006);中国博士后科学基金资助项目(2018T110097)
作者单位E-mail
沈欣炜 清华-伯克利深圳学院, 清华大学, 广东省深圳市 518055  
郭庆来 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
许银亮 清华-伯克利深圳学院, 清华大学, 广东省深圳市 518055  
孙宏斌 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
shb@tsinghua.edu.cn 
摘要:
      提出了一种考虑冷电热多能负荷不确定性的区域综合能源系统鲁棒规划方法。基于能源集线器(energy hub,EH)模型,建立了含冷电热三联供、燃气锅炉、集中式制冷站在内的区域综合能源系统模型;根据历史/预测年8 760 h多能负荷数据,通过k-means聚类分群方法得到多个典型日负荷场景,以上下界区间描述负荷不确定性,形成鲁棒规划模型;将相应鲁棒规划模型等价转化、形成子问题为凸的混合整数规划模型求解。算例结果证明了该规划方法的有效性,同时体现了综合能源系统多能互补集成优化效益。
Abstract:
      A robust planning method for regional integrated energy system(RIES)is proposed in this paper, in which electric/cooling/heating load uncertainties are considered. Based on energy hub(EH)model, a regional IES planning model including combined cooling, heating and power(CCHP), gas boiler, centralized cooling station is formulated. Several typical daily load curves are obtained by k-means data clustering method based on historical/predicting annual load profile of 8 760 hours. The load uncertainties are described by adaptive upper and lower bounds, thus a robust planning model can be achieved. Furthermore, the model can be equivalently recast as a mixed integer planning model, in which the sub-problem is convex. The case studies demonstrate the effectiveness of the proposed method, as well as the benefits of IES in optimization and coordinations between multi-energy systems.
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