追踪源荷实时变化的仿射最优电-气能流在线计算方法  

Online Calculation of Affine Arithmetic-based Optimal Power-gas Flow for Tracking Real-time Changes in Source and Load

作　　者：陈飞雄 郑翔昊 邵振国[1] 郭奕鑫 林勇棋 蔡明杰 CHEN Feixiong;ZHENG Xianghao;SHAO Zhenguo;GUO Yixin;LIN Yongqi;CAI Mingjie(Key Laboratory of Energy Digitalization(Fuzhou University),Fuzhou 350108,Fujian Province,China;Nanping Power Supply Company of State Grid Fujian Power Co.,Ltd.,Nanping 353000,Fujian Province,China)

机构地区：[1]数字能源福建省高校重点实验室(福州大学),福建省福州市350108 [2]国网福建省电力有限公司南平供电公司,福建省南平市353000

出　　处：《电网技术》2024年第8期3329-3339,I0092-I0097,共17页Power System Technology

基　　金：国家自然科学基金项目(52107080);福建省自然科学基金项目(2021J05135)。

摘　　要：随着新能源渗透率的逐步提高,电-气互联系统的运行态势更为复杂多变。为响应源荷的实时变化,该文提出一种仿射最优电-气能流在线计算方法。首先,利用泰勒展开与隐式有限差分法构建天然气动态模型,并采用流速基值自适应校正方法提高模型准确性。其后,利用仿射算术描述系统的源荷不确定性,将最优能流由确定域拓展至仿射域,构建仿射最优电-气能流模型。在此基础上,通过离线优化获取最优调度方案关于噪声元的仿射解析表达式,利用噪声元追踪源荷的实时变化,进而在线获取决策方案。所提方法依据即时信息快速决策,可满足实时调度需求。最后,通过算例分析验证了所提动态模型的准确性,表明所提在线方法的调度性能接近具有完备预测信息的最优调度。With the gradual increase of renewable energy penetration,the operation situation of the integrated electricity and gas system becomes more complex and variable.An affine arithmetic-based optimal power-gas flow online calculation approach is proposed to respond to the real-time changes of source and load.Firstly,a natural gas dynamic model is constructed using the Taylor expansion and implicit finite difference method,and the model's accuracy is improved by using a flow velocity base value adaptive correction method.Then,affine arithmetic is utilized to describe the source-load uncertainty of the system,the optimal energy flow is expanded from the deterministic domain to the affine domain,and the affine arithmetic-based optimal power-gas flow model is established.On this basis,the affine analytical expression of the optimal dispatch scheme concerning the noise symbol is obtained through offline optimization,and the real-time change of source and load using the noise symbol is tracked to obtain the decision-making scheme online.The proposed method can meet the needs of real-time dispatching by making quick decisions based on immediate information.Finally,the case studies verify the accuracy of the proposed dynamic model and show that the dispatching performance of the proposed online method is close to the optimal dispatching with complete prediction information.

关 键 词：电-气互联系统 最优能流 源荷不确定性 在线计算 仿射优化 

分 类 号：TM721[电气工程—电力系统及自动化]