

浏览全部资源
扫码关注微信
1. 新能源电力系统国家重点实验室(华北电力大学),北京市102206
2. 皇家墨尔本理工大学工学院,墨尔本市 VIC 3001,澳大利亚
3. 美国南卫理公会大学电气与计算机工程系,达拉斯市 TX 75275,美国
4. 南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106
Received:19 November 2019,
Published Online:24 December 2019,
Published:10 January 2020
移动端阅览
刘念,余星火,王剑辉等.泛在物联的配用电优化运行:信息物理社会系统的视角[J].电力系统自动化,2020,44(01):1-12.
LIU Nian,YU Xinghuo,WANG Jianhui,et al.Optimal Operation of Power Distribution and Consumption System Based on Ubiquitous Internet of Things: a Cyber-Physical-Social System Perspective[J].Automation of Electric Power Systems,2020,44(01):1-12.
刘念,余星火,王剑辉等.泛在物联的配用电优化运行:信息物理社会系统的视角[J].电力系统自动化,2020,44(01):1-12. DOI: 10.7500/AEPS20191119002.
LIU Nian,YU Xinghuo,WANG Jianhui,et al.Optimal Operation of Power Distribution and Consumption System Based on Ubiquitous Internet of Things: a Cyber-Physical-Social System Perspective[J].Automation of Electric Power Systems,2020,44(01):1-12. DOI: 10.7500/AEPS20191119002.
泛在物联的配用电系统是智能配电网与电力物联网深度融合形成的信息物理社会系统(CPSS)。分析了泛在物联的配用电系统的参与主体及其信息、物理、社会属性,并从物理域、信息域和社会域3个层面探讨参与主体之间的交互影响,并提炼其运行特点,包括物理域中的节点、网络和功能的灵活性;信息域中的泛在感知的不确定性、计算模式的边缘化、开放交互的安全性;社会域中的角色可变性、效用个性化、商业模式多元化。在分析国内外研究动态的基础上,提炼其难点,包括复杂配用电系统的特征识别、社会行为建模与混合仿真、非完全信息的随机博弈框架与应用、融合社会属性的优化问题建模与求解、边缘计算的调度策略与驱动机制、配用电终端物联网的交互安全机制等。在理论层面为信息、物理、社会系统的多学科交叉提供分析探讨,在应用层面为泛在电力物联网和智能电网的建设提供技术支持。
Ubiquitous Internet of Things (IoT) based power distribution and consumption system (PDCS) is a cyber-physical-social system (CPSS) formed by the deep integration of smart distribution grid and power IoT. The participants of ubiquitous IoT based PDCS and their cyber
physical and social attributes are analyzed. The mutual interactions of these participants are also discussed from the cyber field
physical field
and social field. The operation features of ubiquitous IoT based PDCS are abstracted in the CPSS perspective. In the physical field
the features include the flexibility of nodes
network
and functions. In the cyber field
the uncertainty of ubiquitous sensing
edge computing
and cybersecurity are essential features. Moreover
new features in the social field include role variability and utility personalization of participants
and diversification of business models. Based on the analysis of domestic and foreign research trends
the difficulties are refined including feature identification of complex power system
social behavior modeling and hybrid simulation
stochastic game theory framework and application with incomplete information
modeling and solving optimization problem with fusion social attributes
scheduling strategy and driving mechanism for edge computing
interactive security mechanism for the terminal IoT based PDCS. The analysis and discussion are provided on the multidisciplinary intersection of information
physics and social systems at the theoretical level
and the technical support is given for the construction of ubiquitous power IoT and smart grid at the application level.
WANG Feiyue . The emergence of intelligent enterprises: from CPS to CPSS [J] IEEE Intelligent Systems , 2010 , 25 ( 4 ): 85 - 88 .
CHEN Xinyu , MCELROY M B , WU Qiuwei , et al . Transition towards higher penetration of renewables: an overview of interlinked technical, environmental and socio-economic challenges [J]. Journal of Modern Power Systems and Clean Energy , 2019 , 7 ( 1 ): 1 - 8 .
YU Xinghuo , XUE Yusheng . Smart grids: a cyber-physical systems perspective [J]. Proceedings of the IEEE , 2016 , 104 ( 5 ): 1058 - 1070 .
XUE Yusheng , YU Xinghuo . Beyond smart grid—cyber-physical-social system in energy future [J]. Proceedings of the IEEE , 2017 , 105 ( 12 ): 2290 - 2292 .
国家电网泛在电力物联网建设大纲正式发布 [EB/OL].[ 2019-03-11 ]. http://www.chinasmartgrid.com.cn/news/20190311/632172.shtml http://www.chinasmartgrid.com.cn/news/20190311/632172.shtml .
The state grid outline for the construction of ubiquitous power Internet of Things was officially released [EB/OL]. [ 2019-03-11 ]. http://www.chinasmartgrid.com.cn/news/20190311/632172.shtml http://www.chinasmartgrid.com.cn/news/20190311/632172.shtml .
薛禹胜 . 能源领域中的信息物理社会系统(CPSSE) : 对“智能电网+电力物联网”的诠释 [EB/OL].[ 2019-03-14 ]. http://www.sohu.com/a/303734974_403003 http://www.sohu.com/a/303734974_403003 .
XUE Yusheng . Cyber-physical-social system in energy (CPSSE): interpretation of “smart grid+power Internet of Things” [EB/OL]. [ 2019-03-14 ]. http://www.sohu.com/a/303734974_403003 http://www.sohu.com/a/303734974_403003 .
王成山 , 李鹏 , 于浩 . 智能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 . DOI: 10.7500/AEPS20171012002 http://dx.doi.org/10.7500/AEPS20171012002 .
WANG Chengshan , LI Peng , YU Hao . Development and characteristic analysis of flexibility in smart distribution network [J]. Automation of Electric Power Systems , 2018 , 42 ( 10 ): 13 - 21 . DOI: 10.7500/AEPS20171012002 http://dx.doi.org/10.7500/AEPS20171012002 .
国家能源局 . 关于开展分布式发电市场化交易试点的通知 [EB/OL].[ 2017-11-14 ]. http://www.gov.cn/xinwen/2017-11/14/content_5239535.htm http://www.gov.cn/xinwen/2017-11/14/content_5239535.htm .
National Energy Administration . Notice on piloting market-based distributed generation trading [EB/OL]. [ 2017-11-14 ]. http://www.gov.cn/xinwen/2017-11/14/content_5239535.htm http://www.gov.cn/xinwen/2017-11/14/content_5239535.htm .
PARAG Y , SOVACOOL B K . Electricity market design for the prosumer era [J]. Nature Energy , 2016 , 1 ( 4 ): 1 - 6 .
MORSTYN T , FARRELL N , DARBY S J , et al . Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants [J]. Nature Energy , 2018 , 3 ( 2 ): 94 - 101 .
WU Juai , XUE Yusheng , XIE Dongliang , et al . Multi-agent modeling and analysis of EV users’ travel willingness based on an integrated causal/statistical/behavioral model [J]. Journal of Modern Power Systems and Clean Energy , 2018 , 6 ( 6 ): 1255 - 1263 .
杨楠 , 董邦天 , 黄禹 , 等 . 考虑不确定性和多主体博弈的增量配电网源网荷协同规划方法 [J]. 中国电机工程学报 , 2019 , 39 ( 9 ): 2689 - 2702 .
YANG Nan , DONG Bangtian , HUANG Yu , et al . Incremental distribution network source-load collaborative planning method considering uncertainty and multi-agent game [J]. Proceedings of the CSEE , 2019 , 39 ( 9 ): 2689 - 2702 .
NGUYEN D T , LE L B . Risk-constrained profit maximization for microgrid aggregators with demand response [J]. IEEE Transactions on Smart Grid , 2017 , 6 ( 1 ): 135 - 146 .
LIU Nian , YU Xinghuo , WANG Cheng , et al . Energy-sharing model with price-based demand response for microgrids of peer-to-peer prosumers [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 5 ): 3569 - 3583 .
MA Li , LIU Nian , ZHANG Jianhua , et al . Real-time rolling horizon energy management for the energy-hub-coordinated prosumer community from a cooperative perspective [J]. IEEE Transactions on Power Systems , 2019 , 34 ( 2 ): 1227 - 1242 .
PEI Wei , DU Yan , DENG Wei , et al . Optimal bidding strategy and intramarket mechanism of microgrid aggregator in real-time balancing market [J]. IEEE Transactions on Industrial Informatics , 2016 , 12 ( 2 ): 587 - 596 .
FORTUNATO S . Community detection in graphs [J]. Physics Reports , 2009 , 486 ( 3 ): 75 - 174 .
GU Fengchang , LU S D , WU Jianxing , et al . Interruptible power estimation and auxiliary service allocation using contract theory and dynamic game for demand response in aggregator business model [J]. IEEE Access , 2019 , 7 ( 7 ): 129975-129987 .
LI Jie , LIU Yikui , WU Lei . Optimal operation for community-based multi-party microgrid in grid-connected and islanded modes [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 2 ): 756 - 765 .
LI Chaojie , YU Xinghuo , SOKOLOWSKI P , et al . A stochastic game for energy resource trading in the context of energy internet [C]// IEEE Power and Energy Society General Meeting (PESGM) , July 17 - 21 , 2016 , Boston, USA: 1 - 5 .
BAHARLOUEI Z , HASHEMI M , NARIMANI H , et al . Achieving optimality and fairness in autonomous demand response: benchmarks and billing mechanisms [J]. IEEE Transactions on Smart Grid , 2013 , 4 ( 2 ): 968 - 975 .
HASSAN N , YAU K A . Edge computing in 5G: a review [J]. IEEE Access , 2019 , 7 : 127276-127289 .
刘念 , 张建华 . 互动用电方式下的信息安全风险与安全需求分析 [J]. 电力系统自动化 , 2011 , 35 ( 2 ): 79 - 83 .
LIU Nian , ZHANG Jianhua . Cyber security risks and requirements for customer interaction of smart grid [J]. Automation of Electric Power Systems , 2011 , 35 ( 2 ): 79 - 83 .
SU Zhou , WANG Yuntao , XU Qichao , et al . A secure charging scheme for electric vehicles with smart communities in energy blockchain [J]. IEEE Internet of Things Journal , 2018 , 6 ( 3 ): 4601 - 4613 .
LI Chaojie , YU Xinghuo , YU Wenwu , et al . Efficient computation for sparse load shifting in demand side management [J]. IEEE Transactions on Smart Grid , 2017 , 8 ( 1 ): 250 - 261 .
TUSHAR W , CHAI B , YUEN C , et al . Three-party energy management with distributed energy resources in smart grid [J]. IEEE Transactions on Industrial Electronics , 2015 , 62 ( 4 ): 2487 - 2498 .
MAHARJAN S , ZHU Quanyan , ZHANG Yan , et al . Demand response management in the smart grid in a large population regime [J]. IEEE Transactions on Smart Grid , 2016 , 7 ( 1 ): 189 - 199 .
JOE-WONG C , SEN S , HA S , et al . Optimized day-ahead pricing for smart grids with device-specific scheduling flexibility [J]. IEEE Journal on Selected Areas in Communications , 2012 , 30 ( 6 ): 1075 - 1085 .
LIU Nian , YU Xinghuo , WANG Cheng , et al . Energy sharing management for microgrids with PV prosumers: a Stackelberg game approach [J]. IEEE Transactions on Industrial Informatics , 2017 , 13 ( 3 ): 1088 - 1098 .
LIU Nian , WANG Cheng , YU Xinghuo , et al . PV energy sharing cloud: towards automatic pricing and energy management [C]// IEEE Power and Energy Society General Meeting (PESGM) , July 17 - 21 , 2016 , Boston, USA: 1 - 9 .
RAZMARA M , BHARATI G R , SHAHBAKHTI M , et al . Bilevel optimization framework for smart building-to-grid systems [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 2 ): 582 - 593 .
CHEN Siyun , LIU Ting , GAO Feng , et al . Butler, not servant: a human-centric smart home energy management system [J]. IEEE Communications Magazine , 2017 , 55 ( 2 ): 27 - 33 .
DERAKHSHANDEH S Y , MASOUM A S , DEILAMI S , et al . Coordination of generation scheduling with PEVs charging in industrial microgrids [J]. IEEE Transactions on Power Systems , 2013 , 28 ( 3 ): 3451 - 3461 .
GHAMKHARI M , MOHSENIAN-RAD H . Energy and performance management of green data centers: a profit maximization approach [J]. IEEE Transactions on Smart Grid , 2013 , 4 ( 2 ): 1017 - 1025 .
陈奇芳 , 刘念 , 陈征 , 等 . 考虑充电需求与随机事件的光伏充电站实时运行策略 [J]. 电工技术学报 , 2016 , 31 ( 18 ): 142 - 150 .
CHEN Qifang , LIU Nian , CHEN Zheng , et al . Real-time operation strategy for PV-based EV charging station considering charging demand and random events [J]. Transactions of China Electrotechnical Society , 2016 , 31 ( 18 ): 142 - 150 .
SU Wencong , WANG Jianhui , ROH J . Stochastic energy scheduling in microgrids with intermittent renewable energy resources [J]. IEEE Transactions on Smart Grid , 2014 , 5 ( 4 ): 1876 - 1883 .
于丹文 , 杨明 , 翟鹤峰 , 等 . 鲁棒优化在电力系统调度决策中的应用研究综述 [J]. 电力系统自动化 , 2016 , 40 ( 7 ): 134 - 143 .
YU Danwen , YANG Ming , ZHAI Hefeng , et al . An overview of robust optimization used for power system dispatch and decision-making [J]. Automation of Electric Power Systems , 2016 , 40 ( 7 ): 134 - 143 .
樊玮 , 刘念 , 张建华 . 事件驱动的智能家庭在线能量管理算法 [J]. 电工技术学报 , 2016 , 31 ( 13 ): 130 - 140 .
FAN Wei , LIU Nian , ZHANG Jianhua . An online algorithm based on event triggering for energy management of smart home [J]. Transactions of China Electrotechnical Society , 2016 , 31 ( 13 ): 130 - 140 .
SUTTON R S , BARTO A G . Reinforcement learning: an introduction [J]. IEEE Transactions on Neural Networks , 1998 , 9 ( 5 ): 1054 .
WIERING M A , HASSELT H V . Ensemble algorithms in reinforcement learning [J]. IEEE Transactions on Systems , Man , and Cybernetics , Part B (Cybernetics) , 2008 , 38 ( 4 ): 930 - 936 .
XU Hanchen , KITAMURA S , MORI K , et al . Deep reinforcement learning for joint bidding and pricing of load serving entity [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 6 ): 6366 - 6375 .
VANDAEL S , CLAESSENS B , ERNST D , et al . Reinforcement learning of heuristic fleet charging in a day-ahead electricity market [J]. IEEE Transactions on Smart Grid , 2015 , 6 ( 4 ): 1795 - 1805 .
RAHIMIYAN M , MASHHADI H R . An adaptive q -learning algorithm developed for agent-based computational modeling of electricity market [J]. IEEE Transactions on Systems , Man , and Cybernetics , Part C (Applications and Reviews) , 2010 , 40 ( 5 ): 547 - 556 .
YE Yujian , QIU Dawei , LI Jing , et al . Deep reinforcement learning for strategic bidding in electricity markets [J/OL]. IEEE Transactions on Smart Grid [ 2019-11-06 ]. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=88051 77&isnumber=5446437 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=88051 77&isnumber=5446437 .
MOCANU E , MOCANU D C , NGUYEN P H , et al . On-line building energy optimization using deep reinforcement learning [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 4 ): 3698 - 3708 .
MOHSENIAN-RAD A H , WONG V W , JATSKEVICH J , et al . Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid [J]. IEEE Transactions on Smart Grid , 2010 , 1 ( 3 ): 320 - 331 .
SOLIMAN H , LEON-GATCIA A . Game-theoretic demand-side management with storage devices for the future smart grid [J]. IEEE Transactions on Smart Grid , 2014 , 5 ( 3 ): 1475 - 1485 .
KASBEKAR G , SARKAR S . Pricing games among interconnected microgrids [C]// IEEE Power and Energy Society General Meeting , July 22 - 26 , 2012 , San Diego, USA: 22 - 26 .
FADLULLAH Z , QUAN D , KATO N , et al . GTES: an optimized game-theoretic demand-side management scheme for smart grid [J]. IEEE Systems Journal , 2014 , 8 ( 2 ): 588 - 597 .
SAAD W , HAN Z , POOR H V . Coalitional game theory for cooperative micro-grid distribution networks [C]// IEEE International Conference on Communications Workshops (ICC) , June 5 - 9 , 2011 , Kyoto, Japan: 1 - 5 .
WEI C , FADLULLAH Z M , KATO N , et al . GT-CFS: a game theoretic coalition formulation strategy for reducing power loss in micro grids [J]. IEEE Transactions on Parallel and Distributed Systems , 2014 , 25 ( 9 ): 2307 - 2317 .
WEI Wei , LIU Feng , MEI Shengwei . Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty [J]. IEEE Transactions on Smart Grid , 2015 , 6 ( 3 ): 1364 - 1374 .
JIA Liyan , TONG Lang . Dynamic pricing and distributed energy management for demand response [J]. IEEE Transactions on Smart Grid , 2016 , 7 ( 2 ): 1128 - 1136 .
LIU Nian , CHENG Minyang , YU Xinghuo , et al . Energy sharing provider for PV prosumer clusters: a hybrid approach using stochastic programming and Stackelberg game [J]. IEEE Transactions on Industrial Electronics , 2018 , 65 ( 8 ): 6740 - 6750 .
LIU Nian , HE Li , YU Xinghuo , et al . Multiparty energy management for grid-connected microgrids with heat and electricity-coupled demand response [J]. IEEE Transactions on Industrial Informatics , 2018 , 14 ( 5 ): 1887 - 1897 .
HAN Haiteng , GAO Shan , SHI Qingxin , et al . Security-based active demand response strategy considering uncertainties in power systems [J]. IEEE Access , 2017 , 5 : 16953-16962 .
HE Haibo , YAN Jun . Cyber-physical attacks and defences in the smart grid: a survey [J]. IET Cyber-Physical Systems: Theory & Applications , 2016 , 1 ( 1 ): 13 - 27 .
DENG Ruilong , ZHUANG Peng , LIANG Hao . False data injection attacks against state estimation in power distribution systems [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 3 ): 2871 - 2881 .
PENG Chen , LI Jicai , FEI Minrui . Resilient event-triggering H ∞ load frequency control for multi-area power systems with energy-limited DoS attacks [J]. IEEE Transactions on Power Systems , 2017 , 32 ( 5 ): 4110 - 4118 .
AMINI S , PASQUALETTI F , MOSHSENIAN-RAD H . Dynamic load altering attacks against power system stability: attack models and protection schemes [J]. IEEE Transactions on Smart Grid , 2018 , 9 ( 4 ): 2862 - 2872 .
AI Zidong , PENG Lianghong , CAO Menglong . Optimal attack schedule for two sensors state estimation under jamming attack [J]. IEEE Access , 2019 , 7 : 75741-75748 .
SHOUKRY Y , NUZZO P , PUGGELI A , et al . Secure state estimation for cyber-physical systems under sensor attacks: a satisfiability modulo theory approach [J]. IEEE Transactions on Automatic Control , 2017 , 62 ( 10 ): 4917 - 4932 .
LOUKAS G , VUONG T , HEARTFIELD R , et al . Cloud-based cyber-physical intrusion detection for vehicles using deep learning [J]. IEEE Access , 2018 , 6 : 3491 - 3508 .
DERBALI M , BUHARI S M , TSARAMIRSIS G , et al . Water desalination fault detection using machine learning approaches: a comparative study [J]. IEEE Access , 2017 , 5 : 23266-23275 .
JIN Dong , LI Zhiyi , HANNON C , et al . Toward a cyber resilient and secure microgrid using software-defined networking [J]. IEEE Transactions on Smart Grid , 2017 , 8 ( 5 ): 2494 - 2504 .
ZHANG Jun , WANG Feiyue , WANG Xiao , et al . Cyber-physical-social systems: the state of the art and perspectives [J]. IEEE Transactions on Computational Social Systems , 2018 , 5 ( 3 ): 829 - 840 .
平健 , 陈思捷 , 严正 . 适用于电力系统凸优化场景的能源区块链底层技术 [J/OL]. 中国电机工程学报 : 1 - 10 [ 2019-08-29 ]. https://doi.org/10.13334/j.0258-8013.pcsee.182031 https://doi.org/10.13334/j.0258-8013.pcsee.182031 .
PING Jian , CHEN Sijie , YAN Zheng . A novel energy blockchain technology for convex optimization scenarios in power system [J/OL]. Proceedings of the CSEE : 1 - 10 [ 2019-08-29 ]. https://doi.org/10.13334/j.0258-8013.pcsee.182031 https://doi.org/10.13334/j.0258-8013.pcsee.182031 .
LUO Fengji , DONG Zhaoyang , LIANG Gaoqi , et al . A distributed electricity trading system in active distribution networks based on multi-agent coalition and blockchain [J]. IEEE Transactions on Power Systems , 2019 , 34 ( 5 ): 4097 - 4108 .
MA Zhaofeng , WANG Xiaochang , DEEPAK K J , et al . A blockchain-based trusted data management scheme in edge computing [J/OL]. IEEE Transactions on Industrial Informatics [ 2019-11-06 ]. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8789542&isnumber=4389054 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8789542&isnumber=4389054 .
KANG Jiawen , YU Rong , HUANG Xumin , et al . Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains [J]. IEEE Transactions on Industrial Informatics , 2017 , 13 ( 6 ): 3154 - 3164 .
WANG Shen , TAHA A F , WANG Jianhui , et al . Energy crowdsourcing and peer-to-peer energy trading in blockchain-enabled smart grids [J]. IEEE Transactions on Systems , Man , and Cybernetics: Systems , 2019 , 49 ( 8 ): 1612 - 1623 .
HOU Weigang , GUO Lei , NING Zhaolong . Local electricity storage for blockchain-based energy trading in industrial Internet of Things [J]. IEEE Transactions on Industrial Informatics , 2019 , 15 ( 6 ): 3610 - 3619 .
LUO Fengji , RANZI G , WANG Xibin , et al . Social information filtering-based electricity retail plan recommender system for smart grid end users [J]. IEEE Transactions on Smart Grid , 2019 , 10 ( 1 ): 95 - 104 .
MURARI K , PADHY N P . A network-topology-based approach for the load-flow solution of AC-DC distribution system with distributed generations [J]. IEEE Transactions on Industrial Informatics , 2019 , 15 ( 3 ): 1508 - 1520 .
王毅 , 张宁 , 康重庆 , 等 . 电力用户行为模型:基本概念与研究框架 [J]. 电工技术学报 , 2019 , 34 ( 10 ): 2056 - 2068 .
WANG Yi , ZHANG Ning , KANG Chongqing , et al . Electrical consumer behavior model: basic concept and research framework [J]. Transactions of China Electrotechnical Society , 2019 , 34 ( 10 ): 2056 - 2068 .
薛禹胜 , 朱洪波 , 王琴 , 等 . 物联网对能源转型的支撑 [J]. 物联网学报 , 2019 , 3 ( 1 ): 1 - 7 .
XUE Yusheng , ZHU Hongbo , WANG Qin , et al . Support of the Internet of Things for energy transformation [J]. Chinese Journal on Internet of Things , 2019 , 3 ( 1 ): 1 - 7 .
ETESAMI S R , SAAD W , MANDAYAM N , et al . Stochastic games for the smart grid energy management with prospect prosumers [J]. IEEE Transactions on Automatic Control , 2018 , 63 ( 8 ): 2327 - 2342 .
LI Chaojie , XU Yan , YU Xinghuo , et al . Risk-averse energy trading in multienergy microgrids: a two-stage stochastic game approach [J]. IEEE Transactions on Industrial Informatics , 2017 , 13 ( 5 ): 2620 - 2630 .
JAIN R K , QIN Junjie , RAJAGOPAL R . Data-driven planning of distributed energy resources amidst socio-technical complexities [J]. Nature Energy , 2017 , 2 ( 8 ): 17112 .
NAMBI S N , VENKATESHA PRASAD R . Toward the development of a techno-social smart grid [J]. IEEE Communications Magazine , 2016 , 54 ( 115 ): 202 - 209 .
CAI Ye , HUANG Tao , BOMPARD E , et al . Self-sustainable community of electricity prosumers in the emerging distribution system [J]. IEEE Transactions on Smart Grid , 2017 , 8 ( 5 ): 2207 - 2216 .
张振毓 , 陆志强 , 韩笑乐 . 基于前摄-反应的泊位岸桥鲁棒性集成调度 [J]. 计算机集成制造系统 , 2014 , 20 ( 5 ): 1181 - 1190 .
ZHANG Zhenyu , LU Zhiqiang , HAN Xiaole . Robust integrated scheduling for berth and quay crane based on proactive-reactive method [J]. Computer Integrated Manufacturing Systems , 2014 , 20 ( 5 ): 1181 - 1190 .
肖世昌 , 孙树栋 , 杨宏安 . 加工时间随机可控Job Shop前摄调度研究 [J]. 西北工业大学学报 , 2014 , 32 ( 6 ): 929 - 936 .
XIAO Shichang , SUN Shudong , YANG Hongan . Proactive scheduling research on Job Shop with stochastically controllable processing times [J]. Journal of Northwestern Polytechnical University , 2014 , 32 ( 6 ): 929 - 936 .
杨明 , 韩学山 , 王士柏 , 等 . 不确定运行条件下电力系统鲁棒调度的基础研究 [J]. 中国电机工程学报 , 2011 , 31 ( 增刊1 ): 100 - 107 .
YANG Ming , HAN Xueshan , WANG Shibo , et al . Fundamental research for power system robust dispatch under uncertain operating condition [J]. Proceedings of the CSEE , 2011 , 31 (Supplement 1 ): 100 - 107 .
杨胜春 , 刘建涛 , 姚建国 , 等 . 多时间尺度协调的柔性负荷互动响应调度模型与策略 [J]. 中国电机工程学报 , 2014 , 34 ( 22 ): 3664 - 3673 .
YANG Shengchun , LIU Jiantao , YAO Jianguo , et al . Model and strategy for multi-time scale coordinated flexible load interactive scheduling [J]. Proceedings of the CSEE , 2014 , 34 ( 22 ): 3664 - 3673 .
LIN Bing , ZHU Fangning , ZHANG Jianshan , et al . A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing [J]. IEEE Transactions on Industrial Informatics , 2019 , 15 ( 7 ): 4254 - 4265 .
LIN Li , LIAO Xiaofei , JIN Hai , et al . Computation offloading toward edge computing [J]. Proceedings of the IEEE , 2019 , 107 ( 8 ): 1584 - 1607 .
LIU Mengyu , LIU Yuan . Price-based distributed offloading for mobile-edge computing with computation capacity constraints [J]. IEEE Wireless Communications Letters , 2018 , 7 ( 3 ): 420 - 423 .
0
Views
1
下载量
43
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621