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2025, 11, v.52 13-32
考虑灵活资源参与的多能耦合系统风险响应与调控
基金项目(Foundation): 国网山东省电力公司科技项目“用户灵活性资源挖掘与协同技术研究”(520611240003)~~
邮箱(Email): 1055321989@qq.com;
DOI: 10.20097/j.cnki.issn1007-9904.240439
摘要:

针对我国东北地区高纬高寒特性,研究极端条件下电-气-热多能耦合系统在风险场景中的安全响应与调控。首先,分析各能流系统组成,挖掘域内灵活资源,以提升其参与多能流交互的能力。其次,考虑极端条件提出风险抵御体系,构建风险界定判据划分源荷侧风险类型,利用风险辨识指标探寻网侧薄弱环节,依据保供状态制定风险保供策略。然后,搭建灵活协同层化模型,从风险评估、灵活抵御、供电稳定及经济运行层面对系统运行进行调控与评估。最后,以东北和山东地区实际系统为对象,分析多种方案运行效果,评价其稳定性、灵活性、经济性及低碳性等效益。结果表明,发掘灵活资源可以提升系统对极端条件的抵御能力,两种典型风险场景中系统安全性指标分别改善0.72、0.43个百分点,灵活性分别提升4.83、4.90个百分点;同时,低碳单元参与调控使系统风险性进一步分别降低1.85、8.93个百分点,验证了基于风险抵御体系的层化模型能有效降低供需失衡风险对系统的影响。

Abstract:

Aiming at the characteristics of high latitude and severe cold climate in Northeast China,the safety response and regulation of an electric-gas-heat multi-energy coupling system in risk scenarios under extreme conditions are studied.Firstly,the composition of each energy flow system is analyzed,and the flexible resources in the domain are mined to enhance their ability to participate in multi-energy flow interaction.Secondly,considering the extreme conditions,a risk mitigation system is proposed. A risk definition criterion is constructed to categorize the risk types on both the source and load sides,the risk identification index is used to explore the weak links of the network side,and the risk guarantee strategy is formulated according to the supply guarantee state.Then,a flexible collaborative layering model is built to regulate and evaluate the system operation from the aspects of risk assessment,flexible resistance,power supply stability and economic operation.Finally,taking the actual systems in Northeast China and Shandong Province as the objects of study,the operation effect of various schemes is analyzed,and the benefits of stability,flexibility,economy and low carbon are evaluated.The results show that the exploration of flexible resources can improve the system's ability to resist extreme conditions.In the two typical risk scenarios,the system's security indicators are improved by 0.72 and 0.43 percentage points,respectively,and the flexibility is improved by 4.83 and4.90 percentage points,respectively.At the same time,the participation of low-carbon units in regulation further reduces the system's risk by 1.85 and 8.93 percentage points,respectively,which verifies that the hierarchical model based on the risk mitigation system can effectively reduce the impact of supply and demand imbalance risks on the system.

参考文献

[1]张帅,刘文霞,张艺伟,等.计及多重热惯性特征的区域综合能源系统可靠性评估[J].电工技术学报,2023,38(12):3289-3305.ZHANG Shuai,LIU Wenxia,ZHANG Yiwei,et al. Reliability assessment of regional integrated energy system considering with multiple thermal inertia characteristics[J]. Transactions of China Electrotechnical Society,2023,38(12):3289-3305.

[2]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 multienergy system flow modeling and simulation technology for integrated energy system[J]. Shandong Electric Power,2022,49(6):1-7.

[3] BRAMERDORFER G. Multiobjective electric machine optimization for highest reliability demands[J]. CES Transactions on Electrical Machines and Systems,2020,4(2):71-78.

[4]辛保安,李明节,贺静波,等.新型电力系统安全防御体系探究[J].中国电机工程学报,2023,43(15):5723-5732.XIN Baoan,LI Mingjie,HE Jingbo,et al. Research on security defense system of new power system[J].Proceedings of the CSEE,2023,43(15):5723-5732.

[5]张礼浩,刘翔宇,顾雪平,等.新型电力系统频率安全稳定研究综述及展望[J].浙江电力,2024,43(10):12-26.ZHANG Lihao,LIU Xiangyu,GU Xueping,et al. Review and prospects of frequency security and stability research in new-type power systems[J].Zhejiang Electric Power,2024,43(10):12-26.

[6]谭静,王东,张英华,等.台风灾害下电网多维韧性评估研究[J].山东电力技术,2024,51(3):27-35.TAN Jing,WANG Dong,ZHANG Yinghua,et al.Multidimensional resilience assessment of power grids under typhoon disasters[J].Shandong Electric Power,2024,51(3):27-35.

[7] TIAN Z G,LI C S,SUN M Z,et al.Chance constrained optimization of multi-energy supply system with wind and PV combined output[C]∥2024 9th Asia Conference on Power and Electrical Engineering(ACPEE).IEEE,2024:1276-1280.

[8]寇岩,刘宇明,郭亮.美国得州“2.15停电”事件分析及对山东电力市场的启示[J].山东电力技术,2021,48(11):15-20,28.KOU Yan,LIU Yuming,GUO Liang.Analysis of the“2.15 power outage”in Texas,USA and its enlightenment to Shandong electric power retail market[J].Shandong Electric Power,2021,48(11):15-20,28.

[9]姚福星,苗世洪,涂青宇,等.考虑强对流天气的乡镇配电网树线矛盾风险预警及优化处理[J].电工技术学报,2023,38(22):6188-6203.YAO Fuxing,MIAO Shihong,TU Qingyu,et al.Risk warning and optimization processing for tree-line contradiction in rural distribution network considering severe convective weather[J].Transactions of China Electrotechnical Society,2023,38(22):6188-6203.

[10] FAN H,WANG C Y,LIU L,et al.Review of uncertainty modeling for optimal operation of integrated energy system[J]. Frontiers in Energy Research,2022,9:641337.

[11] FANOS B N F,SOLIMAN M H,TALAAT H E A,et al. Modern active voltage control in distribution networks, including distributed generation,using the hardware-in-the-loop technique[J].Symmetry,2023,15(1):90.

[12]姜云鹏,任洲洋,李秋燕,等.考虑多灵活性资源协调调度的配电网新能源消纳策略[J].电工技术学报,2022,37(7):1820-1835.JIANG Yunpeng, REN Zhouyang, LI Qiuyan, et al. An accommodation strategy for renewable energy in distribution network considering coordinated dispatching of multi-flexible resources[J]. Transactions of China Electrotechnical Society,2022,37(7):1820-1835.

[13]潘超,杨铖,唐华,等.考虑氨能与广义储能的多能耦合系统低碳协调运行[J].电力建设,2024,45(7):122-133.PAN Chao,YANG Cheng,TANG Hua,et al. Low-carbon coordinated operation of multi-energy coupled system considering ammonia energy and generalized energy storage participation[J].Electric Power Construction,2024,45(7):122-133.

[14] LIU H L,YUAN R J,LI J,et al.Research on the evaluation method of peak shaving and valley filling potential of power demand side response based on typical large industrial users[C]∥2022 IEEE6th Conference on Energy Internet and Energy System Integration(EI2).IEEE,2023:3148-3152.

[15]王继东,许秋铭,黄婷,等.含共享储能的数据中心微网群分布式优化调度[J].电网技术,2024,48(8):3238-3247.WANG Jidong,XU Qiuming,HUANG Ting,et al. Distributed optimal scheduling of data center microgrids cluster with shared energy storage[J].Power System Technology,2024,48(8):3238-3247.

[16]薛太林,杨海翔,张海霞,等.考虑P2G及碳捕集的热电联产虚拟电厂低碳优化调度[J].山东电力技术,2024,51(5):1-8.XUE Tailin,YANG Haixiang,ZHANG Haixia,et al. Low carbon optimal scheduling of CHP virtual power plants considering P2G and carbon capture[J].Shandong Electric Power,2024,51(5):1-8.

[17]吉林省生态环境厅,吉林省发展和改革委员会.吉林省适应气候变化行动方案[EB/OL].(2023-09-28)[2024-11-08].http:∥xxgk.jl.gov.cn/zcbm/fgw_98007/xxgkmlqy/202309/t20230925_8804218.htm.

[18]王强钢,吴雪翚,杨龙杰,等.考虑设备变工况特性和灵活性供需匹配的园区综合能源系统优化配置模型[J].电力自动化设备,2023,43(3):20-28,37.WANG Qianggang,WU Xuehui,YANG Longjie,et al. Optimal allocation model of community integrated energy system considering off-design performance of device and flexible supplydemand matching[J]. Electric Power Automation Equipment,2023,43(3):20-28,37.

[19]姜海洋,杜尔顺,马佳豪,等.考虑长周期供需不平衡风险的新型电力系统规划方法[J].中国电机工程学报,2024,44(15):5845-5857.JIANG Haiyang,DU Ershun,MA Jiahao,et al.A new power system planning method considering the risk of long-term imbalance between supply and demand[J].Proceedings of the CSEE,2024,44(15):5845-5857.

[20]陈丽娟,刘丽,周昶,等.计及运行风险与韧性的综合能源系统薄弱环节辨识[J].电力系统自动化,2022,46(6):48-57.CHEN Lijuan,LIU Li,ZHOU Chang,et al.Weakness identification of integrated energy systems considering operation risk and resilience[J].Automation of Electric Power Systems,2022,46(6):48-57.

[21]全国电压电流等级和频率标准化技术委员会.电能质量供电电压偏差:GB 12325—2008[S].北京:中国标准出版社,2008.

[22]徐玉韬,冯起辉,谈竹奎,等.考虑转供与重构协同的多端柔性互联配电网供电恢复策略[J].电工技术学报,2024,39(9):2696-2709.XU Yutao,FENG Qihui,TAN Zhukui,et al. Optimal power restoration strategy for multi-terminal flexible interconnected distribution networks based on flexible interconnection device and network reconfiguration[J].Transactions of China Electrotechnical Society,2024,39(9):2696-2709.

[23]中华人民共和国住房和城乡建设部.城镇供热管网设计标准:CJJ/T 34—2022[S].北京:中国计划出版社,2022.

[24]中华人民共和国建设部.城镇燃气设计规范:GB 50028—2006[S].北京:中国建筑工业出版社,2006.

[25]刘威,张东霞,丁玉成,等.基于随机矩阵理论与熵理论的电网薄弱环节辨识方法[J].中国电机工程学报,2017,37(20):5893-5901.LIU Wei,ZHANG Dongxia,DING Yucheng,et al. Power grid vulnerability identification methods based on random matrix theory and entropy theory[J].Proceedings of the CSEE,2017,37(20):5893-5901.

[26]李军祥,王艺帆,马晓佳.基于PMSC控电管理的智能电网紧急需求响应策略[J/OL].系统工程:1-12[2024-11-08].https:∥kns.cnki.net/kcms/detail/43.1115.N.20241008.1347.005.html.LI Junxiang,WANG Yifan,MA Xiaojia. Emergency demand response strategy of smart grid based on PMSC power control management[J/OL].Systems Engineering:1-12[2024-11-08].https:∥kns.cnki.net/kcms/detail/43.1115.N.20241008.1347.005.html.

[27]张玮亚,王紫钰.智能配电系统分区电压控制技术研究综述[J].电力系统保护与控制,2017,45(1):146-154.ZHANG Weiya,WANG Ziyu. Review of zonal-voltage control techniques of smart distribution system[J]. Power System Protection and Control,2017,45(1):146-154.

[28]吴志,李广焕,张小平,等.基于单端口耦合等值的配电网静态电压稳定指标分析及应用[J].电力系统自动化,2023,47(23):44-54.WU Zhi,LI Guanghuan,ZHANG Xiaoping,et al. Analysis and application of static voltage stability indices for distribution network based on single-port coupling equivalence[J].Automation of Electric Power Systems,2023,47(23):44-54.

[29] CHEN Z X,ZHANG Y J,JI T Y,et al. Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded[J]. Journal of Modern Power Systems and Clean Energy,2018,6(3):495-508.

[30]王典,潘超,鹿丽,等.计及风-光时序相关特性的源-储并网阶段式规划策略[J].东北电力大学学报,2020,40(4):1-10.WANG Dian,PAN Chao,LU Li,et al. Source-storage staged planning strategy considering wind-photovoltaic timing related characteristics[J].Journal of Northeast Electric Power University,2020,40(4):1-10.

基本信息:

DOI:10.20097/j.cnki.issn1007-9904.240439

中图分类号:TM73

引用信息:

[1]何荣凯,李万信,唐华,等.考虑灵活资源参与的多能耦合系统风险响应与调控[J].山东电力技术,2025,52(11):13-32.DOI:10.20097/j.cnki.issn1007-9904.240439.

基金信息:

国网山东省电力公司科技项目“用户灵活性资源挖掘与协同技术研究”(520611240003)~~

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