徐文滨,孙一凡,王林,闫威,蒋耀仙
XU Wenbin,SUN Yifan,WANG Lin,YAN Wei,JIANG Yaoxian

• 1:国网浙江省电力有限公司嘉兴供电公司

摘要(Abstract)：

风电具有的波动性及间歇性给电气互联系统的优化运行带来了随机性问题，增大了电气互联系统运行管理的难度。首先，应用基于预测箱的场景生成方法得到典型风电场景，对风电的波动性与多风电场间的相关性进行表征。其次，建立考虑配电网、天然气网络及各种耦合元件的电气互联系统日前经济调度模型，并基于ADMM（交替方向乘子法）进行分布式求解。最后，以IEEE 33节点配电网和7节点天然气网组成的电气互联系统为例，验证了所提模型的有效性。
The fluctuation and intermittency of wind power have brought about unexpected problems to the optimal operation of the integrated electricity and natural gas systems. Furthermore, it makes the operation management of the integrated system more difficult. Firstly, a typical wind power scenario is obtained by applying a scenario generation method based on a prediction box to characterize the fluctuation of wind power and the correlation between multiple wind farms. Secondly, a day-ahead economic dispatching model of the electrical interconnection system considering the distribution networks, natural gas networks and various coupling elements is developed, and a distributive solution based on the alternating direction method of multipliers(ADMM) is performed. Finally, the effectiveness of the proposed model is verified by taking an electrical interconnection system consisting of an IEEE 33-node distribution network and an IEEE 7-node natural gas network as an example.

关键词(KeyWords)： 电气互联系统;日前调度;风电时空相关性;分布式优化;交替方向乘子法
integrated electricity and natural gas systems;day-ahead dispatching;spatio-temporal correlation of wind power;distributed optimization;ADMM

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（B311JX220002）

作者(Author): 徐文滨,孙一凡,王林,闫威,蒋耀仙
XU Wenbin,SUN Yifan,WANG Lin,YAN Wei,JIANG Yaoxian

DOI: 10.19585/j.zjdl.202303002

参考文献(References)：

• [1]梅建春，卫志农，张勇，等.电-气互联综合能源系统多时间尺度动态优化调度[J].电力系统自动化，2018,42(13):36-42.MEI Jianchun,WEI Zhinong,ZHANG Yong,et al. Dynamic optimal dispatch with multiple time scale in integrated power and gas energy systems[J]. Automation of Electric Power Systems,2018,42(13):36-42.
• [2]曾鸣，杨雍琦，刘敦楠，等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术，2016,40(1):114-124.ZENG Ming,YANG Yongqi,LIU Dunnan,et al.“generation-grid-load-storage” coordinative optimal operation mode of energy Internet and key technologies[J].Power System Technology,2016,40(1):114-124.
• [3]程浩忠，胡枭，王莉，等.区域综合能源系统规划研究综述[J].电力系统自动化，2019,43(7):2-13.CHENG Haozhong,HU Xiao,WANG Li,et al. Review on research of regional integrated energy system planning[J].Automation of Electric Power Systems,2019,43(7):2-13.
• [4]李湃，管晓宏，吴江.基于大气动力模型的多风电场出力场景生成方法[J].中国电机工程学报，2015,35(18):4581-4590.LI Pai,GUAN Xiaohong,WU Jiang.Wind power scenario generation for multiple wind farms based on atmospheric dynamic model[J]. Proceedings of the CSEE,2015,35(18):4581-4590.
• [5]叶林，李智，孙舶皓，等.基于随机预测控制理论和功率波动相关性的风电集群优化调度[J].中国电机工程学报，2018,38(11):3172-3183.YE Lin,LI Zhi,SUN Bohao,et al.Optimal dispatch of system integrated wind farm clusters based on stochastic model predictive control considering temporal correlation of wind power[J]. Proceedings of the CSEE,2018,38(11):3172-3183.
• [6]黎静华，文劲宇，程时杰，等.考虑多风电场出力Copula相关关系的场景生成方法[J].中国电机工程学报，2013,33(16):30-36.LI Jinghua,WEN Jinyu,CHENG Shijie,et al. A scene generation method considering copula correlation relationship of multi-wind farms power[J]. Proceedings of the CSEE,2013,33(16):30-36.
• [7]徐箭，洪敏，孙元章，等.基于经验Copula函数的多风电场出力动态场景生成方法及其在机组组合中的应用[J].电力自动化设备，2017,37(8):81-89.XU Jian,HONG Min,SUN Yuanzhang,et al. Dynamic scenario generation based on empirical Copula function for outputs of multiple wind farms and its application in unit commitment[J]. Electric Power Automation Equipment,2017,37(8):81-89.
• [8] ZENG Q,ZHANG B H,FANG J K,et al.A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system[J]. Applied Energy,2017,200:192-203.
• [9] ZENG Q,FANG J K,LI J H,et al.Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion[J].Applied Energy,2016,184:1483-1492.
• [10]瞿小斌，文云峰，叶希，等.基于串行和并行ADMM算法的电-气能量流分布式协同优化[J].电力系统自动化，2017,41(4):12-19.QU Xiaobin,WEN Yunfeng,YE Xi,et al.Distributed optimization of electric-gas integrated energy flow using serial and parallel iterative modes for alternating direction method of multipliers[J]. Automation of Electric Power Systems,2017,41(4):12-19.
• [11]王程，刘念.基于交替方向乘子法的互联微电网系统分布式优化调度[J].电网技术，2016,40(9):2675-2681.WANG Cheng,LIU Nian.Distributed optimal dispatching of interconnected microgrid system based on alternating direction method of multipliers[J].Power System Technology,2016,40(9):2675-2681.
• [12] HE C,WU L,LIU T Q,et al. Robust Co-optimization scheduling of electricity and natural gas systems via ADMM[J]. IEEE Transactions on Sustainable Energy,2017,8(2):658-670.
• [13]唐锦，张书怡，吴秋伟，等.基于Copula函数与等概率逆变换的风电出力场景生成方法[J].电力工程技术，2021,40(6):86-94.TANG Jin,ZHANG Shuyi,WU Qiuwei,et al. Wind power output scenario generation method based on Copula function and equal probability inverse transformation[J].Electric Power Engineering Technology,2021,40(6):86-94.
• [14]李国庆，惠鑫欣，孙福军，等.基于交替方向乘子法的含风电场系统ATC计算[J].太阳能学报，2019,40(5):1456-1464.LI Guoqing,HUI Xinxin,SUN Fujun,et al.Calculation of atc in power system including wind farms based on alternating direction method of multipliers[J]. Acta Energiae Solaris Sinica,2019,40(5):1456-1464.
• [15]孟丽娜，赵兴勇，郭珠珠，等.基于ADMM的电-气综合能源系统分布式滚动优化调度[J].电气工程学报，2022,17(1):171-178.MENG Lina,ZHAO Xingyong,GUO Zhuzhu,et al.Distributed rolling optimization scheduling of electric gas integrated energy system based on ADMM[J]. Journal of Electrical Engineering,2022,17(1):171-178.
• [16] TURK A,WU Q W,ZHANG M L,et al.Day-ahead stochastic scheduling of integrated multi-energy system for flexibility synergy and uncertainty balancing[J]. Energy,2020,196:117130.
• [17]陈健，张维桐，林达，等.基于改进交替方向乘子法的电—气—热系统分布式优化调度[J].电力系统自动化，2019,43(7):50-58.CHEN Jian,ZHANG Weitong,LIN Da,et al.Distributed optimal dispatch of integrated electricity-gas-heating system based on improved alternative direction multiplier method[J].Automation of Electric Power Systems,2019,43(7):50-58.
• [18]邢家维，孙树敏，程艳，等.综合能源系统多能流建模和仿真技术综述[J].山东电力技术，2022,49(6):1-7.XING Jiawei,SUN Shumin,CHENG Yan,et al.Review on multi-energy system flow modeling and simulation technology for integrated energy system[J].Shandong Electric Power,2022,49(6):1-7.