基于交叉项解耦随机响应面的电–气互联系统低碳化概率最优能量流  

A Low-carbon Probabilistic Optimal Energy Flow Analysis Method for Integrated Electricity and Natural Gas Systems Based on Stochastic Response Surface Method Improved by Decoupling Cross-terms

作　　者：姜云鹏 任洲洋 陈志君 王鹏 户秀琼[3] JIANG Yunpeng;REN Zhouyang;CHEN Zhijun;WANG Peng;HU Xiuqiong(State Key Laboratory of Power Transmission Equipment&System Security and New Technology(School of Electrical Engineering,Chongqing University),Shapingba District,Chongqing 400044,China;Guangxi Power Grid,Nanning 530023,Guangxi Zhuang Autonomous Region,China;College of Information and Electric Engineering,Panzhihua University,Panzhihua 617000,Sichuan Province,China)

机构地区：[1]重庆大学输配电装备及系统安全与新技术国家重点实验室(重庆大学电气工程学院),重庆市沙坪坝区400044 [2]广西电网有限责任公司,广西壮族自治区南宁市530023 [3]攀枝花学院电气信息工程学院,四川省攀枝花市617000

出　　处：《中国电机工程学报》2023年第16期6205-6217,共13页Proceedings of the CSEE

基　　金：国家重点研发计划项目(2019YFB1505400);重庆市院士牵头科技创新引导专项(cstc2018jcyj-yszxX0001);输配电装备及系统安全与新技术国家重点实验室开放课题(2007DA105127)。

摘　　要：针对双碳战略目标下含大量不确定因素的电–气互联系统的低碳化运行需求,建立电–气互联系统低碳化概率最优能量流模型,提出基于交叉项解耦的改进随机响应面法实现高效求解。首先,构建碳捕集-电转气的低碳化协同运行模式,通过碳的循环利用和氢的多模式协同利用,促进异质能源系统的高效交互,并基于此建立电–气互联系统低碳化概率最优能量流模型;然后,针对现有电–气互联系统概率分析方法难以平衡计算精度与求解效率的不足,提出一种基于交叉项解耦随机响应面的概率能量流分析方法,采用泰勒级数展开对Wiener混沌多项式中的交叉项进行解耦与简化处理,从而克服随机响应面方法难以处理高维随机变量的缺陷;最后,采用IEEE 39-NGS 20和IEEE 118-NGS 90这2个电–气互联系统,验证所提模型和方法的准确性和适应性。In order to meet the low-carbon operation requirements of the integrated electricity and natural gas systems(IEGSs)with various uncertain factors under the dual-carbon target,a low-carbon probabilistic optimal energy flow model for IEGSs is developed in this paper,and a decoupling cross-terms based stochastic response surface method(SRSM)is proposed to solve this model efficiently.First,the lower-carbon cooperative operation mechanism between carbon capture and power-to-gas devices is constructed,which can realize carbon recycling and multi-mode cooperative utilization of hydrogen.Then,the low-carbon probabilistic optimal energy flow model for IEGSs is established.Since the existing probability analysis methods of IEGSs are difficult to balance calculation accuracy and efficiency,a probabilistic optimal energy flow analysis method based on SRSM improved by decoupling cross-terms is proposed.The Taylor series expansion is used to decouple and simplify the cross-terms in Wiener polynomial chaos.The difficulty of dealing with high-dimensional random variables by SRSM is overcome.Finally,the accuracy and adaptability of the proposed model and method are verified by using the IEEE 39-NGS 20 and IEEE 118-NGS 90 standard test systems.

关 键 词：电–气互联系统(IEGSs) 概率最优能量流 碳捕集 电转气 随机响应面方法 

分 类 号：TM721[电气工程—电力系统及自动化]