张潮,顾卫祥,雍康倩,朱超
ZHANG Chao,GU Weixiang,YONG Kangqian,ZHU Chao

• 1:国网江苏省电力有限公司超高压分公司
• 2:国网江苏省电力有限公司南通供电分公司

摘要(Abstract)：

针对直流输电对跨省潮流模型的影响，提出了一种考虑特高压直流输电影响的省间电力现货市场（以下简称“省间市场”）协调交易方法。将省间市场展开过程拆分为省内代理报价曲线模型和省间市场协调交易模型，采用交-直流解耦的方法进行省间及省内的潮流计算。省内代理报价曲线模型以省内机组发电量/负荷需求为决策变量，通过区域等效模型得到省内机组/负荷参与省间市场的代理报价曲线。省间市场协调交易模型以省间市场交易值为决策变量实现省间市场出清，通过ADMM（交替方向乘子法）实现协调交易的分布式转化，避免交易过程中泄露省内机组信息和网络拓扑信息。算例表明，该方法实现了省间市场综合收益最大化，保障了信息隐私安全。
The impact of high-voltage direct current(HVDC) transmission systems on inter-provincial power flow models is addressed by proposing a coordinated trading method for the inter-provincial electricity spot market(hereinafter referred to as the inter-provincial market). The process of inter-provincial market expansion is divided into a provincial agent bidding curve model and a coordinated inter-provincial market trading model. The method employs an AC-DC decoupling approach for power flow calculations within and between provinces. The provincial agent bidding curve model, with the provincial generation and load demand as decision variables, derives the agent bidding curves for provincial units/loads participating in the inter-provincial market through a regional equivalent model. The coordinated inter-provincial market trading model, using the inter-provincial market trading values as decision variables, achieves market clearing through ADMM(alternating direction method of multipliers), ensuring a distributed transformation of coordinated trading to prevent leakage of information regarding provincial units and network topology during the trading process. Case studies demonstrate that this method maximizes the overall revenue of the inter-provincial market while safeguarding information privacy and security.

关键词(KeyWords)： 特高压直流输电;省间市场;交-直流解耦;交替方向乘子法;分布式优化
UHVDC transmission systems;inter-provincial market;AC/DC decoupling;ADMM algorithm;distributed optimization

Abstract:

Keywords:

基金项目(Foundation): 国网江苏省电力有限公司科技项目（J2022066）

作者(Author): 张潮,顾卫祥,雍康倩,朱超
ZHANG Chao,GU Weixiang,YONG Kangqian,ZHU Chao

DOI: 10.19585/j.zjdl.202405010

参考文献(References)：

• [1]刘昊，郭烨，孙宏斌.中国跨区跨省电力交易综述及展望[J].电力系统自动化，2022,46(15):187-199.LIU Hao,GUO Ye,SUN Hongbin. Review and prospect of inter-regional and inter-provincial power trading in China[J].Automation of Electric Power Systems,2022,46(15):187-199.
• [2]纪鹏，曾丹，孙田，等.全国统一电力市场体系深化建设研究：以省间、省内市场耦合演进路径设计为切入点[J].价格理论与实践，2022(5):105-109.JI Peng,ZENG Dan,SUN Tian,et al.Research on Deepening Construction of National Unified Electricity Market System—take the inter-provincial and intra-provincial market coupling evolution path design as the entry point[J].Price:Theory&Practice,2022(5):105-109.
• [3]孙大雁，关立，胡晨旭，等.省间电力现货交易机制设计与探索[J].电网技术，2022,46(2):421-429.SUN Dayan,GUAN Li,HU Chenxu,et al.Design and exploration of inter-provincial power spot trading mechanism[J].Power System Technology,2022,46(2):421-429.
• [4] STOFT S. Power system economics:designing markets for electricity[M].Piscataway,NJ:IEEE Press,2002.
• [5]蔡文畅，申展，黑阳，等.世界典型跨国跨区电力交易对未来澜湄区域电力交易模式的启示[J].全球能源互联网，2023,6(3):316-324.CAI Wenchang,SHEN Zhan,HEI Yang,et al. The enlightenment of the world’s typical cross-regional power trade to the future lancang-mekong regional power trading models[J]. Journal of Global Energy Interconnection,2023,6(3):316-324.
• [6]丁一，谢开，庞博，等.中国特色、全国统一的电力市场关键问题研究（1）：国外市场启示、比对与建议[J].电网技术，2020,44(7):2401-2410.DING Yi,XIE Kai,PANG Bo,et al. Key issues of national unified electricity market with Chinese characteristics(1):enlightenment,comparison and suggestions from foreign countries[J].Power System Technology,2020,44(7):2401-2410.
• [7]李竹，庞博，李国栋，等.欧洲统一电力市场建设及对中国电力市场模式的启示[J].电力系统自动化，2017,41(24):2-9.LI Zhu,PANG Bo,LI Guodong,et al.Development of unified european electricity market and its implications for China[J].Automation of Electric Power Systems,2017,41(24):2-9.
• [8]樊宇琦，丁涛，孙瑜歌，等.国内外促进可再生能源消纳的电力现货市场发展综述与思考[J].中国电机工程学报，2021,41(5):1729-1752.FAN Yuqi,DING Tao,SUN Yuge,et al. Review and cogitation for worldwide spot market development to promote renewable energy accommodation[J].Proceedings of the CSEE,2021,41(5):1729-1752.
• [9]郑亚先，杨争林，冯树海，等.碳达峰目标场景下全国统一电力市场关键问题分析[J].电网技术，2022,46(1):1-20.ZHENG Yaxian,YANG Zhenglin,FENG Shuhai,et al.Key issue analysis in national unified power market under target scenario of carbon emission peak[J].Power System Technology,2022,46(1):1-20.
• [10]李伏才，李湘旗，罗朝春，等.考虑多重约束和计划-市场协调的跨省跨区月度购电决策[J].电力科学与技术学报，2021,36(1):206-215.LI Fucai,LI Xiangqi,LUO Zhaochun,et al.Monthly purchasing decisions across provinces and regions considering multiple constraints and plan-market coordination[J].Journal of Electric Power Science and Technology,2021,36(1):206-215.
• [11]杨建华，李鹏飞，范晨凯，等.发用电计划放开下跨省区中长期电力市场交易机制设计[J].水电能源科学，2021,39(5):207-210.YANG Jianhua,LI Pengfei,FAN Chenkai,et al.Design of medium and long-term market of regional electricity market transaction mechanism under the liberalization of power generation plan[J]. Water Resources and Power,2021,39(5):207-210.
• [12]张慧敏，李晏，冯天天，等.碳中和背景下跨省电力交易空间结构及影响因素研究[J].智慧电力，2022,50(11):56-61.ZHANG Huimin,LI Yan,FENG Tiantian,et al. Spatial structure and influencing factors of inter-provincial power transaction under carbon neutralization[J].Smart Power,2022,50(11):56-61.
• [13]钟海旺，夏清，丁茂生，等.以直流联络线运行方式优化提升新能源消纳能力的新模式[J].电力系统自动化，2015,39(3):36-42.ZHONG Haiwang,XIA Qing,DING Maosheng,et al.A new mode of HVDC tie-line operation optimization for maximizing renewable energy accommodation[J].Automation of Electric Power Systems,2015,39(3):36-42.
• [14]徐文滨，孙一凡，王林，等.考虑风电时空相关性的电气互联系统分布式优化调度[J].浙江电力，2023,42(3):9-17.XU Wenbin,SUN Yifan,WANG Lin,et al. Distributed optimal dispatching of the integrated electricity and natural gas systems considering spatial-temporal correlation of wind power[J]. Zhejiang Electric Power,2023,42(3):9-17.
• [15]李军徽，马得轩，朱星旭，等.基于ADMM算法的主动配电网分层优化经济调度[J].电力建设，2022,43(8):76-86.LI Junhui,MA Dexuan,ZHU Xingxu,et al.Multi-level optimization of economic dispatching based on ADMM algorithm for active distribution network[J]. Electric Power Construction,2022,43(8):76-86.
• [16]赖晓文，钟海旺，杨军峰，等.全网统筹电力电量平衡协调优化方法[J].电力系统自动化，2015,39(7):97-104.LAI Xiaowen,ZHONG Haiwang,YANG Junfeng,et al.A coordinated optimization method for system-wide power supply-demand balancing[J]. Automation of Electric Power Systems,2015,39(7):97-104.
• [17]吴晓刚，吴新华，季青锋，等.计及新能源不确定性的新能源场站与储能电站分布式协同优化[J].浙江电力，2022,41(6):54-61.WU Xiaogang,WU Xinhua,JI Qingfeng,et al.Distributed collaborative optimization of new energy stations and energy storage power stations taking account of the uncertainty of new energy[J].Zhejiang Electric Power,2022,41(6):54-61.
• [18] FAN Y,LI J S,LIN N.Residual projection for quantile regression in vertically partitioned big data[J].Data Mining and Knowledge Discovery,2023,37(2):710-735.