基于云边协同计算的主动配电网调度研究评述An Overview of ADNs Dispatching Based on Coordinated Cloud-Edge omputing
李知艺,宋克轩
LI Zhiyi,SONG Kexuan
摘要(Abstract):
随着增量配电改革推进,多元利益主体涌现,主动配电网呈现供需多方互动、信息物理融合等显著特点,而传统的集中调度决策方式难以继续适用。立足于云计算、边缘计算等前沿信息技术在主动配电网中应用的适用性和安全性,依次评述了电力系统联合调度、云计算与边缘计算、电力信息安全防御等研究热点的现有进展与发展动态,旨在为解决调控资源分散、计算资源异构、安全防御薄弱等关键问题厘清思路。最后,强调了能源革命和数字革命协同发展趋势下开展主动配电网调度决策与安全防护的重要性。
With the advancement of expanded electricity distribution reform and the emergence of multiple stakeholders, active distribution networks are characterized by interactions between supply party and demand party, and tend to be cyber-physical systems(CPS). Therefore, the traditional centralized dispatching decision can no longer be applied. Based on the applicability and security of cloud computing, edge computing and other frontier information technologies applied in active distribution networks, the paper gives a commentary about the progress and development of joint dispatch of power system, cloud computing and edge computing, safeguard of power information security to clarify ideas for solving the decentralization of dispatching and control sources, heterogeneous computing resources as well as vulnerable cybersecurity safeguard. Finally, this paper stresses the significance of dispatch decision-making and security safeguard of active distribution networks with the coordinated development of the energy revolution and the digital revolution.
关键词(KeyWords):
主动配电网;电力系统调度;云计算;边缘计算;电力信息安全
active distribution network;power system dispatch;cloud computing;edge computing;power information security
基金项目(Foundation): 中央高校基本科研业务费专项资金(浙江大学NGICS大平台)(K20210001);; 国家自然科学基金项目(52007164)
作者(Author):
李知艺,宋克轩
LI Zhiyi,SONG Kexuan
DOI: 10.19585/j.zjdl.202106003
参考文献(References):
- [1]中共中央国务院.关于进一步深化电力体制改革的若干意见[R/OL].(2015-03-09)[2021-01-04].http://www.gov.cn/xinwen/2015-03/09/content_2831228.htm.
- [2]国家能源局综合司.关于简化优化许可条件、加快的推进增量配电项目电力业务许可工作的通知[R/OL].(2018-07-11)[2021-01-04].http://zfxxgk.nea.gov.cn/auto79/201807/20180730-3218.htm.
- [3]PARAG Y,SOVACOOL K.Electricity market design for the prosumer era[J].Nature Energy,2016,1:16032.
- [4]王成山,李鹏,于浩.主动配电网的新形态及其灵活性特征分析与应用[J].电力系统自动化,2018,42(10):13-21.
- [5]PEREIRA I,SPECHT M,SILVA P,et al.Technology,business model,and market design adaptation toward smart electricity distribution:insights for policy making[J].Energy Policy,2018,121:426-440.
- [6]吴春潮,薛飞,徐晓彤,等.基于电气关联强度的虚拟微电网划分方法[J].电力系统自动化,2019,43(13):54-62.
- [7]孙宏斌,张伯明,吴文传,等.自律协同的智能电网能量管理系统家族:概念、体系架构和示例[J].电力系统自动化,2014,38(9):1-5.
- [8]马望,高红均,李海波,等.考虑智能软开关的配电网灵活性评估及优化调度模型[J].电网技术,2019,43(11):3935-3943.
- [9]LIANG G,WELLER S R,ZHAO J,et al.The 2015 ukraine blackout:implications for false data injection attacks[J].IEEE Transactions on Power Systems,2017,32(4):3317-3318.
- [10]LI E,KANG C,HUANG D,et al.Quantitative model of attacks on distribution automation systems based on CVSS and attack trees[J].Information,2019,10(8):251.
- [11]卢英佳.我国电力信息系统面临的网络安全风险及处置建议[J].中国信息安全,2019,11:97-99.
- [12]国家市场监督管理总局,国家标准化管理委员会.信息安全技术网络安全等级保护基本要求:GB/T 22239—2019[S].北京:中国标准出版社,2019.
- [13]LI Z,GUO Q,SUN H,et al.Coordinated economic dispatch of coupled transmission and distribution systems using heterogeneous decomposition[J].IEEE Transactions on Power Systems,2016,31(6):4817-4830.
- [14]LIN C,WU W,CHEN X,et al.Decentralized dynamic economic dispatch for integrated transmission and active distribution networks using multi-parametric programming[J].IEEE Transactions on Smart Grid,2018,9(5):4983-4993.
- [15]张旭,王洪涛.高比例可再生能源电力系统的输配协同优化调度方法[J].电力系统自动化,2019,43(3):67-83.
- [16]吴文传,张伯明,孙宏斌,等.主动配电网能量管理与分布式资源集群控制[J].电力系统自动化,2020:1-10.
- [17]ZHAO Y,YU J,BAN M,et al.Privacy-preserving economic dispatch for an active distribution network with multiple networked microgrids[J].IEEE Access,2018,6:38802-38819.
- [18]谢敏,吉祥,柯少佳,等.基于目标级联分析法的多微网主动配电系统自治优化经济调度[J].中国电机工程学报,2017,37(17):4911-4921.
- [19]窦晓波,曹水晶,刘之涵,等.弱中心化的配电网市场交易机制、模型与技术实现[J].电力系统自动化,2019,43(12):104-120.
- [20]LI Z,SHAHIDEHPOUR M.Privacy-preserving collaborative operation of networked microgrids with the local utility grid based on enhanced benders decomposition[J].IEEE Transactions on Smart Grid,early access at 10.1109/TSG.2019.2959242.
- [21]JALALI M,ZARE K,SEYEDI H.Strategic decision-making of distribution network operator with multi-microgrids considering demand response program[J].Energy,2017,141:1059-1071.
- [22]BAHRAMARA S,PARSA MOGHADDAM M,HAGHIFAM M R.A bi-level optimization model for operation of distribution networks with micro-grids[J].International Journal of Electrical Power&Energy Systems,2016,82:169-178.
- [23]智勇,郭帅,何欣,等.面向智慧工业园区的双层优化调度模型[J].电力系统自动化,2017,41(1):31-38.
- [24]吕天光,艾芊,孙树敏,等.含多微网的主动配电系统综合优化运行行为分析与建模[J].中国电机工程学报,2016,36(1):122-132.
- [25]ZENG B,AN Y.Solving bilevel mixed integer program by reformulations and decomposition[J].Optimization online,2014:1-34.
- [26]MA F,LUO X,LITVINOV E.Cloud computing for power system simulations at ISO new england:experiences and challenges[J].IEEE Transactions on Smart Grid,2016,7(6):2596-2603.
- [27]SARKER M R,WANG J,LI Z,et al.Security and cloud out sourcing framework for economic dispatch[J].IEEE Transactions on Smart Grid,2018,9(6):5810-5819.
- [28]XIN S,GUO Q,WANG J,et al.Information masking theory for data protection in future cloud-based energy management[J].IEEE Transactions on Smart Grid,2018,9(6):5664-5676.
- [29]许洪强.调控云架构及应用展望[J].电网技术,2017,41(10):3104-3111.
- [30]郭健,周京阳,李强,等.高性能在线分析计算现状与协同计算关键技术[J].电力系统自动化,2018,42(3):149-159.
- [31]SATYANARAYANAN M,BAHL P,CACERES R,et al.The Case for VM-based cloudlets in mobile computing[J].IEEE Pervasive Computing,4(8):14-23.
- [32]BONOMI F,MILITO R,ZHU J,et al.Fog computing and its role in the internet of things[C].First Edition of the MCC Workshop on Mobile Cloud Computing,2012:13-16.
- [33]白昱阳,黄彦浩,陈思远,等.云边智能:电力系统运行控制的边缘计算方法及其应用现状与展望[J].自动化学报,2020,46(3):397-409.
- [34]李彬,贾滨诚,曹望璋,等.边缘计算在电力需求响应业务中的应用展望[J].电网技术,2018,42(1):79-87.
- [35]LIN L,LIAO X,JIN H,et al.Computation offloading toward edge computing[J].Proceedings of the IEEE,2019,107(8):1584-1607.
- [36]LIN B,ZHU F,ZHANG J,et al.A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing[EB/OL].2019:arxiv:1901.07216[cs.DC].http://arxiv.org/abs/1901.07216.,2019,15(7):4254-4265.
- [37]邓晓衡,关培源,万志文,等.基于综合信任的边缘计算资源协同研究[J].计算机研究与发展,2018,55(3):449-477.
- [38]孙浩洋,张冀川,王鹏,等.面向配电物联网的边缘计算技术[J].电网技术,2019,43(12):4314-4321.
- [39]SATDHARI O S.Engineering Trustworthy Systems[J].Communications of the ACM,2019,62(6):63-69.
- [40]李中伟,佟为明,金显吉.智能电网信息安全防御体系与信息安全测试系统构建:乌克兰和以色列国家电网遭受网络攻击事件的思考与启示[J].电力系统自动化,2016,40(8):147-151.
- [41]王栋,陈传鹏,颜佳,等.新一代电力信息网络安全架构的思考[J].电力系统自动化,2016,40(2):6-11.
- [42]DENG R,ZHUANG P,LIANG H.False data injection attacks against state estimation in power distribution systems[J].IEEE Transactions on Smart Grid,2019,10(3):2871-2881.
- [43]PENG C,LI J,FEI M.Resilient event-triggering load frequency control for multi-area power systems with energylimited DoS attacks[J].IEEE Transactions on Power Systems,2017,32(5):4110-4118.
- [44]SOLTAN S,MITTAL P,POOR H V.BlackIoT:IoT botnet of high wattage devices can disrupt the power grid[C]//27th USENIX Security Symposium,2018:15-32.
- [45]WANG Q,TAI W,TANG Y,et al.A two-layer game theoretical attack-defense model for a false data injection attack against power systems[J].International Journal of Electrical Power&Energy Systems,2019,104:169-177.
- [46]CHEN L,YUE D,DOU C.Optimization on vulnerability analysis and redundancy protection in interdependent networks[J].Physica A:Statistical Mechanics and its Applications,2019,523:1216-1226.
- [47]陈武晖,陈文淦,薛安成.面向协同信息攻击的物理电力系统安全风险评估与防御资源分配[J].电网技术,2019,43(7):2353-2360.
- [48]汤奕,李梦雅,王琦,等.电力信息物理系统网络攻击与防御研究综述(二):检测与保护[J].电力系统自动化,2019,43(10):1-9.
- [49]LI Z,SHAHIDEHPOUR M,AMINIFAR F.Cybersecurity in distributed power systems[J].Proceedings of the IEEE,2017,105(7):1367-1388.
- [50]李志强,苏盛,曾祥君,等.基于虚构诱骗陷阱的电力调度系统针对性攻击主动安全防护[J].电力系统自动化,2016,40(17):106-112.
- [51]邓科,张丽红,蔡昂,等.基于分级调度算法的交换机路由信息处理技术[J].电网与清洁能源,2020,36(1):8-13.
- [52]赵彦博,王云龙,王烁罡,等.电力调度数据网地址分析系统设计与开发[J].内蒙古电力技术,2018,36(1):45-48.
- [53]邓佃毅,张旭.新能源场站调度管理优化分析[J].内蒙古电力技术,2019,37(1):85-89.