2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

从工业4.0到能源5.0:智能能源系统的概念、内涵及体系框架

邓建玲 王飞跃 陈耀斌 赵向阳

邓建玲, 王飞跃, 陈耀斌, 赵向阳. 从工业4.0到能源5.0:智能能源系统的概念、内涵及体系框架. 自动化学报, 2015, 41(12): 2003-2016. doi: 10.16383/j.aas.2015.c150259
引用本文: 邓建玲, 王飞跃, 陈耀斌, 赵向阳. 从工业4.0到能源5.0:智能能源系统的概念、内涵及体系框架. 自动化学报, 2015, 41(12): 2003-2016. doi: 10.16383/j.aas.2015.c150259
DENG Jian-Ling, WANG Fei-Yue, CHEN Yao-Bin, ZHAO Xiang-Yang. From Industries 4.0 to Energy 5.0: Concept and Framework of Intelligent Energy Systems. ACTA AUTOMATICA SINICA, 2015, 41(12): 2003-2016. doi: 10.16383/j.aas.2015.c150259
Citation: DENG Jian-Ling, WANG Fei-Yue, CHEN Yao-Bin, ZHAO Xiang-Yang. From Industries 4.0 to Energy 5.0: Concept and Framework of Intelligent Energy Systems. ACTA AUTOMATICA SINICA, 2015, 41(12): 2003-2016. doi: 10.16383/j.aas.2015.c150259

从工业4.0到能源5.0:智能能源系统的概念、内涵及体系框架

doi: 10.16383/j.aas.2015.c150259
基金项目: 

国家自然科学基金(71232006,61533019,61233001)资助

详细信息
    作者简介:

    邓建玲中国华电集团公司党组成员、副总经理、教授级高级工程师.E-mail: jianling-deng@chd.com.cn

    通讯作者:

    王飞跃中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.主要研究方向为智能系统和复杂系统的建模, 分析与控制.本文通信作者.

From Industries 4.0 to Energy 5.0: Concept and Framework of Intelligent Energy Systems

Funds: 

Supported by National Natural Science Foundation of China (71232006, 61533019, 61233001)

  • 摘要: 分析推动工业进程和能源进程交互发展的因素和趋势, 结合能源互联网的发展要求, 提出了建立能源5.0的迫切性和必要性. 着重讨论了在网络化之后, 能源系统呈现的社会性问题, 认为在传统方式之外, 必须引入人类社会学、管理学等软科学进行分析建模; 指出了虚拟人工系统根本不同于传统仿真系统等理念, 只有利用虚拟人工模型, 采用平行系统, 才能建立能源5.0. 阐述了能源5.0的理论、框架和技术, 明确了能源5.0、基于社会物理信息系统(Cyber-physical-social system, CPSS) 的平行能源是等价的概念. 指出能源5.0核心是构建与实际能源系统同构的虚拟人工能源系统, 通过虚拟人工能源系统的计算实验, 确定优化控制策略, 引导实际能源系统运行, 并使虚拟人工系统和实际系统平行执行、共同演化, 形成智能能源系统. 最后以华电集团已经完成的分布式能源5.0示范项目和正在实施的火力发电5.0项目及智能家居能源系统, 探讨了能源5.0的研究内容、技术途径及应用前景.
  • [1] Wang Yu-Ming. The analysis of entropy changes on the evolutional tendency of geographical environment. Acta Geographica Sinica, 2011, 66(11): 1508-1517(王玉明. 地理环境演化趋势的熵变化分析. 地理学报, 2011, 66(11): 1508-1517)
    [2] Han Xiao-Ping. Scientific energy utility to deal with energy challenge. Power Demand Side Management, 2005, 7(1): 22-25(韩晓平. 科学用能---应对能源挑战. 电力需求侧管理, 2005, 7(1): 22-25)
    [3] Prigogine I, Stengers I [Author], Zeng Qing-Hong, Shen Xiao-Feng [Translator]. Order Out of Chaos. Shanghai: Shanghai Translation Publishing House, 1987.(Prigogine I, Stengers I [著], 曾庆宏, 沈小峰 [译]. 从混沌到有序. 上海: 上海译文出版社, 1987.)
    [4] Tang Su-Ye. Entropy: An Analysis of Century Enigma. Hefei: China Science and Technology University Press, 2004.(汤甦野. 熵: 一个世纪之谜的解析. 合肥: 中国科学技术大学出版社, 2004.)
    [5] Zhang Dong, Zhang Ning. A study on entropy theory in physics and its application. Journal of Beijing Union University: Natural Sciences, 2007, 21(1): 4-8 (张东, 张宁. 物理学中的熵理论及其应用研究. 北京联合大学学报: 自然科学版, 2007, 21(1): 4-8)
    [6] Wang Fei-Yue. Social energy and parallel energy systems: towards the age of energy 5. 0. In: Workshop on Distributed Energy Systems and Annual Symposium of IEEE ITSS Beijing Chapter. Beijing: North China University of Technology, 2015. (王飞跃. 社会能源与平行能源系统: 迈向能源5. 0的时代. 分布式能源专业委员会筹备会及IEEE ITSS北京分会. 北京: 北方工业大学, 2015.)
    [7] Wang Fei-Yue, Zhao Jie, Lun Shu-Xian. Artificial power systems for the operation and management of complex power grids. Southern Power System Technology, 2008, 2(3): 1-6 (王飞跃,赵杰,伦淑娴.人工电力系统与复杂大电网的运营和管理.南方电网技术, 2008, 2(3): 1-6)
    [8] Zhao Jun-Hua, Wen Fu-Shan, Xue Yu-Sheng, Dong Zhao-Yang. Modeling analysis and control research framework of cyber physical power systems. Automation of Electric Power Systems, 2011, 35(16): 1-8 (赵俊华, 文福拴, 薛禹胜, 董朝阳. 电力信息物理融合系统的建模分析与控制研究框架. 电力系统自动化, 2011, 35(16): 1-8)
    [9] Zhao Jun-Hua, Wen Fu-Shan, Xue Yu-Sheng, Li Xue, Dong Zhao-Yang. Cyber physical power systems: architecture, implementation techniques and challenges. Automation of Electric Power Systems, 2010, 34(16): 1-7(赵俊华, 文福拴, 薛禹胜, 李雪, 董朝阳. 电力CPS的架构及其实现技术与挑战. 电力系统自动化, 2010, 34(16): 1-7)
    [10] Siddharth S, Adam H, Manimaran G. Cyber-physical system security for the electric power grid. Proceedings of the IEEE, 2012, 100(1): 210-224
    [11] Ilic M D, Xie L, Khan U A, Moura J M F. Modeling of future cyber-physical energy systems for distributed sensing and control. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 2010, 40(4): 825-838
    [12] Xie L, Ilic M D. Module-based modeling of cyber-physical power systems. In: Proceedings of the 28th International Conference on Distributed Computing Systems Workshops. Beijing, China: IEEE, 2008. 513-518
    [13] Li G, Du C L, Song C Y, Cai X B. Cyber-physical aware model based on IEC 61850 for advanced power grid. In: Proceedings of the 2010 Asia-Pacific Power and Energy Engineering Conference (APPEEC). Chengdu, China: IEEE, 2010. 1-5
    [14] Mcmillin B. Complexities of information security in cyber-physical power systems. In: Proceedings of the IEEE/PES Power Systems Conference and Exposition. Seattle, WA: IEEE, 2009. 1-2
    [15] Singh C, Sprintson A. Reliability assurance of cyber-physical power systems. In: Proceedings of the 2010 IEEE Power and Energy Society General Meeting. Minneapolis, MN: IEEE, 2010. 1-6
    [16] Wang F Y. Social computing: concepts, contents, and methods. International Journal of Intelligent Control and Systems, 2004, 9(2): 91-96
    [17] Wang Fei-Yue, Li Xiao-Chen, Mao Wen-Ji, Wang Tao. Social Computing: Methods and Applications. Hangzhou: Zhejiang University Press, 2012.(王飞跃, 李晓晨, 毛文吉, 王涛. 社会计算的基本方法与应用. 杭州: 浙江大学出版社, 2012.)
    [18] Xue Yu-Sheng. Proposed researches on stability theory and analysis techniques for modern power systems. Automation of Electric Power Systems, 2000, 24(7): 1-6(薛禹胜. 现代电网稳定理论和分析技术的研究方向. 电力系统自动化, 2000, 24(7): 1-6)
    [19] Lu Qiang, Sun Yuan-Zhang. Nonlinear Control of Power Systems. Beijing: Science Press, 1993. (卢强, 孙元章. 电力系统非线性控制. 北京: 科学出版社, 1993.)
    [20] Yu Yi-Xin, Wang Cheng-Shan. Stability Theory and Methods of Power System. Beijing: Science Press, 1999. (余贻鑫, 王成山. 电力系统稳定性理论与方法. 北京: 科学出版社, 1999.)
    [21] Zhao Xiang-Yang, Liu Jun-Hua, Zhu Chang-Chun. Identification of white noise and chaotic time series caused from Logist equation. Pattern Recognition and Artificial Intelligence, 2002, 15(4): 419-423(赵向阳, 刘君华, 朱长纯. Logist方程形成的混沌时间序列和白噪声的一种辨识方法. 模式识别与人工智能, 2002, 15(4): 419-423)
    [22] Zhao Xiang-Yang, Ge Wen-Tao. Simulation research of fault model of detecting rotor dynamic eccentricity in brushless DC motor based on motor current signature analysis. Proceedings of the CSEE, 2011, 31(36): 124-130(赵向阳, 葛文韬. 基于定子电流法监测无刷直流电动机转子动态偏心的故障模型仿真研究. 中国电机工程学报, 2011, 31(36): 124-130)
    [23] Wang Fei-Yue. Parallel control: a method for data-driven and computational control. Acta Automatica Sinica, 2013, 39(4): 293-302(王飞跃. 平行控制: 数据驱动的计算控制方法. 自动化学报, 2013, 39(4): 293-302)
    [24] Wang Fei-Yue. Software-defined systems and knowledge automation: a parallel paradigm shift from Newton to Merton. Acta Automatica Sinica, 41(1): 1-8(王飞跃. 软件定义的系统与知识自动化: 从牛顿到默顿的平行升华. 自动化学报, 2015, 41(1): 1-8)
    [25] Wang Fei-Yue. Parallel system methods for management and control of complex systems. Control and Decision, 2004, 19(5): 485-489(王飞跃. 平行系统方法与复杂系统的管理和控制. 控制与决策, 2004, 19(5): 485-489)
    [26] Wang Fei-Yue. New mechanisms for control and management of complex systems: research and development. Project to the President's Foundation for Special Projects, Chinese Academy of Sciences. Beijing, China, 2005(王飞跃. 复杂系统的控制与管理机制研究及其应用. 中国科学院院长基金特别支持项目立项书. 2005)
    [27] Wang F Y, Wong P K. Intelligent systems and technology for integrative and predictive medicine: an ACP approach. ACM Transactions on Intelligent Systems and Technology, 2013, 4(2): Article No. 32
    [28] Wang F Y. Toward a paradigm shift in social computing: the ACP approach. IEEE Intelligent Systems, 2007, 22(5): 65-67
    [29] Wang F Y. Parallel control and management for intelligent transportation systems: concepts, architectures, and applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 630-638
    [30] Wang F Y. The emergence of intelligent enterprises: from CPS to CPSS. IEEE Intelligent Systems, 2010, 25(4): 85-88
    [31] Dong Zhao-Yang, Zhao Jun-Hua, Wen Fu-Shuan, Xue Yu-Sheng. From smart grid to energy internet: basic concept and research framework. Automation of Electric Power Systems, 2014, 38(15): 1-11 (董朝阳, 赵俊华, 文福拴, 薛禹胜. 从智能电网到能源互联网: 基本概念与研究框架. 电力系统自动化, 2014, 38(15): 1-11)
    [32] Cao Jun-Wei, Meng Kun, Wang Ji-Ye, Yang Ming-Bo, Chen Zhen, Li Wen-Zhuo, Lin Chuang. An energy internet and energy routers. Science China: Information Sciences, 2014, 44(6): 714-727(曹军威, 孟坤, 王继业, 杨明博, 陈震, 李文焯, 林闯. 能源互联网与能源路由器. 中国科学: 信息科学, 2014, 44(6): 714-727)
    [33] Rifkin J. The Third Industrial Revolution: How Lateral Power is Transforming Energy, the Economy, and the World. New York: St. Martin's Press, 2011.
    [34] Huang A Q, Crow M L, Heydt G T, Zheng J P, Dale S J. The future renewable electric energy delivery and management (FREEDM) system: the energy internet. Proceedings of the IEEE, 2011, 99(1): 133-148
    [35] Wang Fei-Yue, Wang Xiao, Yuan Yong, Wang Tao, Lin Yi-Lun. Social computing and computational societies: the foundation and consequence of smart societies. Chinese Science Bulletin, 2015, 60(5-6): 460-469(王飞跃, 王晓, 袁勇, 王涛, 林懿伦. 社会计算与计算社会: 智慧社会的基础与必然. 科学通报, 2015, 60(5-6): 460-469)
    [36] Zhao X Y, Liu S Y. Design of a monitoring system of micro-grid. Smart Grid and Renewable Energy, 2013, 4: 198-201
    [37] Chen Y B, Mintun T G. Intelligent Remote Visual Monitoring System for Home Health Care Service, U. S. Patent 5553609, September 1996.
    [38] Sullivan M S, Brost R D, Chen Y B, Eberhart R. Method and Apparatus for Determining Battery State-of-Charge Using Neural Network Architecture, U. S. Patent 6064180, May 2000.
    [39] Rovnvak S M, Chen Y B, Sheng Y, Rajput V S, Pahis T, George L, Malkoff J, Hu X H. Integrated and Optimized Distributed Generation and Interconnect System Controller, U. S. Patent 20100185336, May 2012.
    [40] Qu Y Z, Li L X, Chen Y B, Dai Y P. Fault detection in acyclic Petri net models. In: Proceedings of the 2010 Chinese Control and Decision Conference (CCDC). Xuzhou, China: IEEE, 2010. 4059-4063
    [41] Yang K, Du E Y, Delp E J, Jiang P G, Jiang F, Chen Y B, Sherony R, Takahashi H. An extreme learning machine-based pedestrian detection method. In: Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV). Gold Coast, QLD: IEEE, 2013. 1404-1409
    [42] Lin X, Banvait H, Anwar S, Chen Y B. Optimal energy management for a plug-in hybrid electric vehicle: real-time controller. In: Proceedings of the 2010 American Control Conference (ACC). Baltimore, MD: IEEE, 2010. 5037-5042
    [43] Xia Ji, Hua Zhi-Gang, Peng Peng, Lu Pan, Zhang Cheng, Chen Gang. A model of unconstrained multi-objective optimization of coal blending based on the non-dominated sorting genetic algorithm. Proceedings of the CSEE, 2011, 31(2): 85-90(夏季, 华志刚, 彭鹏, 陆潘, 张成, 陈刚. 基于非支配排序遗传算法的无约束多目标优化配煤模型. 中国电机工程学报, 2011, 31(2): 85-90)
    [44] Chen Gang, Hao Yong-Cai, Xu Yuan-Gang, Zhang Cheng. Application of fuzzy mathematics in evaluating boiler blended-coal schemes. Journal of Power Engineering, 2008, 28(6): 856-858, 870 (陈刚, 郝永财, 徐远纲, 张成. 模糊数学在评价锅炉混煤方案中的应用. 动力工程, 2008, 28(6): 856-858, 870)
    [45] Zhou Huai-Chun, Han Shu-Dong, Sheng Feng, Zheng Chu-Guang. Numerical simulation on a visualization monitoring method of three-dimensional temperature distribution in furnace. Power Engineering, 2003, 23(1): 2154-2159 (周怀春, 韩曙东, 盛锋, 郑楚光. 炉膛燃烧温度场三维可视化监测方法模拟研究. 动力工程, 2003, 23(1): 2154-2159)
    [46] Wu Yi-Quan, Song Yu, Zhou Huai-Chun. State identification of boiler combustion flame images based on gray entropy multiple thresholding and support vector machine. Proceedings of the CSEE, 2013, 33(20): 66-73 (吴一全, 宋昱, 周怀春. 基于灰度熵多阈值分割和SVM的火焰图像状态识别. 中国电机工程学报, 2013, 33(20): 66-73)
    [47] Wu Yi-Quan, Zhu Li, Zhou Huai-Chun. State recognition of flame images based on Krawtchouk moment and support vector machine. Proceedings of the CSEE, 2014, 34(5): 734-740 (吴一全, 朱丽, 周怀春. 基于Krawtchouk矩和支持向量机的火焰状态识别. 中国电机工程学报, 2014, 34(5): 734-740)
    [48] Ju Gang, Wei Hong-Qi, Chen Shao-Bing, Xu Zhi-Gao. Multivariable model predictive control for thermal power unit load system. Proceedings of the CSEE, 2002, 22(4): 144-148(雎刚, 韦红旗, 陈绍炳, 徐治皋. 单元机组负荷多变量模型预测控制. 中国电机工程学报, 2002, 22(4): 144-148)
    [49] Zhao Liang, Ju Gang, Lv Jian-Hong. An improved genetic algorithm in multi-objective optimization and its application. Proceedings of the CSEE, 2008, 28(2): 96-102 (赵亮, 雎刚, 吕剑虹. 一种改进的遗传多目标优化算法及其应用. 中国电机工程学报, 2008, 28(2): 96-102)
    [50] Wei Yuan-Hua, Ren Xiao-Dong, Li Zhi, Dong Qing, Ma Xin-Xin, Zhu Huan, Kong Xiang-Zheng, Shao Yi-Ming, Zhao Yan. Concept and scheme research of digital power plant. Electric Power Construction, 2013, 34(4): 51-54 (危元华, 任晓东, 李智, 董青, 马欣欣, 朱环, 孔祥正, 邵一鸣, 赵焱. 数字化电厂的概念及方案研究. 电力建设, 2013, 34(4): 51-54)
    [51] Hua Zhi-Gang, Lv Jian-Hong, Zhang Tie-Jun. Research and application of state variable-predictive control in 600MW unit reheater temperature control system. Proceedings of the CSEE, 2005, 25(12): 103-107 (华志刚, 吕剑虹, 张铁军. 状态变量--预测控制技术在600MW机组再热汽温控制中的研究与应用. 中国电机工程学报, 2005, 25(12): 103-107)
    [52] Zhang Tie-Jun, Lv Jian-Hong, Hua Zhi-Gang. Fuzzy gain scheduled model predictive control for boiler-turbine coordinated system. Proceedings of the CSEE, 2005, 25(4): 158-165 (张铁军, 吕剑虹, 华志刚. 机炉协调系统的模糊增益调度预测控制. 中国电机工程学报, 2005, 25(4): 158-165)
    [53] Lin Yong-Ming, Gao Xiang, Shi Ping-Ping, Zhang Yong-Xin, Zhong Yi, Luo Zhong-Yang, Cen Ke-Fa. Numerical simulation on resistance characteristic of large scale wet flue gas desulphurization spraying scrubber. Proceedings of the CSEE, 2008, 28(5): 28-33 (林永明, 高翔, 施平平, 张涌新, 钟毅, 骆仲泱, 岑可法. 大型湿法烟气脱硫喷淋塔内阻力特性数值模拟. 中国电机工程学报, 2008, 28(5): 28-33)
    [54] Guo Rui-Tang, Gao Xiang, Ding Hong-Lei, Luo Zhong-Yang, Cen Ke-Fa. Study on flow field optimization in wet flue gas desulfurization spray scrubber. Proceedings of the CSEE, 2008, 28(29): 70-77 (郭瑞堂, 高翔, 丁红蕾, 骆仲泱, 岑可法. 湿法烟气脱硫喷淋塔内流场的优化. 中国电机工程学报, 2008, 28(29): 70-77)
    [55] Cheng X, Hu X Y, Yang L Q, Husain I, Inoue K, Krein P, Lefevre R, Li Y Y, Nishi H, Taiber J G, Wang F Y, Zha Y B, Gao W, Li Z X. Electrified vehicles and the smart grid: the ITS perspective. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(4): 1388-1404
  • 加载中
计量
  • 文章访问数:  2882
  • HTML全文浏览量:  134
  • PDF下载量:  2875
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-04-29
  • 修回日期:  2015-12-11
  • 刊出日期:  2015-12-20

目录

    /

    返回文章
    返回