2024 06 31-39
态势感知在新型电力系统中的应用
基金项目(Foundation):
国家自然科学基金项目“低压配电网拓扑智能辨识的模型及其灰数据影响机理研究”（52177085）
邮箱(Email):
DOI:
10.19929/j.cnki.nmgdljs.2024.0077
中文作者单位:
华北科技学院，河北 廊坊 065201;华南理工大学，广州 510641;广州供电局有限公司变电管理二所，广州 510000
摘要(Abstract):
介绍了态势感知技术的发展历程和总体架构，从态势提取、态势评估和态势预测方面分析了该技术在军事、网络领域中的应用情况。同时，针对新型电力系统提出了由设备安全、人身安全和系统安全构成的态势感知体系，对监控可视化技术、电网透明化感知、社会物理系统的应用情况及相关模型进行了综述，并指出了态势感知在未来电力系统中发展方向，如实现电力系统运行状态实时辨识，提高电力系统风险预测准确性，结合可视化技术展现电力系统运行状态等。
关键词(KeyWords):
新型电力系统;态势感知;电网透明化感知;社会物理信息系统;监控可视化
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参考文献
[1] 黎博，陈民铀，钟海旺，等.高比例可再生能源新型电力系统长期规划综述[J].中国电机工程学报，2023，43（2）：555-581. LI Bo, CHEN Minyou, ZHONG Haiwang, et al. Overview of long-term planning for new power systems with a high proportion of renewable energy sources[J]. Proceedings of the CSEE, 2023, 43(2): 555-581.
[2] Theureau J. Use of Nuclear-Reactor Control Room Simulators in Research and Development[J]. IFAC Proceedings Volumes, 1998, 31(26): 365-370.
[3] Endsley M R, Farley T C, Jones W M, et al. Situation awareness information requirements for commercial airline pilots[R]. New York: International Center for Air Transportation, 1998.
[4] Endsley M R. Toward a theory of situation awareness in dynamic systems[J]. Human factors, 1995, 37(1): 32-64.
[5] Tanner, Axel, Blarer, et al. Gaining an Edge in Cyberspace with Advanced Situational Awareness[J]. IEEE Security & Privacy, 2015, 13(2): 65-74.
[6] 贺玲，贺照辉.大数据技术在战场态势感知中的应用[J].科技与创新，2023，223（7）：178-181. HE Ling, HE Zhaohui. Application of big data technology in battlefield situational awareness[J]. Science and Technology & Innovation, 2023, 223(7): 178-181.
[7] 刘科.认知技术在战场态势感知中的应用[J].指挥信息系统与技术，2021，12（3）：13-18. LIU Ke. Application of cognitive technology in battlefield situational awareness[J]. Command Information Systems and Technology, 2021, 12(3): 13-18.
[8] Bass T, Gruber D. A glimpse into the future of id[J]. Mag. Usenix Sage, 1999, 24(3): 40-49.
[9] 席荣荣，云晓春，金舒原，等.网络安全态势感知研究综述[J].计算机应用，2012，32（1）：1-4，59. XI Rongrong, YUN Xiaochun, JIN Shuyuan, et al. Research overview of network security situational awareness[J]. Journal of Computer Applications, 2012, 32(1): 1-4, 59.
[10] 杨宇，谷宇恒.网络安全态势感知综述[J].科学技术与工程， 2022，22（34）：15011-15019. YANG Yu, GU Yuheng. Research overview of network security situational awareness[J]. Science Technology and Engineering, 2022, 22(34): 15011-15019.
[11] 何俊，于华，邓长虹，等.极端天气下基于态势感知的重点区域电网负荷供电保障策略[J].高电压技术，2022，48（4）：1277-1285. HE Jun, YU Hua, DENG Changhong, et al. Key Area Power Supply Guarantee Strategy for Grid Load Based on Situation Awareness under Extreme Weather[J]. High Voltage Engineering, 2022, 48(4): 1277-1285.
[12] 刘鑫蕊，李欣，孙秋野，等.考虑冰灾环境的配电网态势感知和薄弱环节辨识方法[J].电网技术，2019，43（7）：2243-2252. LIU Xinrui, LI Xin, SUN Qiuye, et al. Method of Distribution Network Situation Awareness and Identification of Vulnerable Links Considering Ice Disaster Environment[J]. Power System Technology, 2019, 43(7): 2243-2252.
[13] 牛瑞丽.基于物联网技术的电气火灾监控系统的设计与实现[D]. 西安：西安电子科技大学，2020.
[14] 刘智勇，赵晓丹，祁宏昌，等.新时代无人机电力巡检技术展望[J].南方能源建设，2019，6（4）：1-5. LIU Zhiyong, ZHAO Xiaodan, QI Hongchang, et al. Prospect of UAV Power Inspection Technology in the New Era[J]. Southern Energy Construction, 2019, 6(4): 1-5.
[15] 张亮，屈刚，李慧星，等.智能电网电力监控系统网络安全态势感知平台关键技术研究及应用[J].上海交通大学学报，2021，55（增刊2）：103-109. ZHANG Liang, QU Gang, LI Huixing, et al. Research and Application of Key Technologies for Network Security Situation Awareness Platform of Smart Grid Power Monitoring System [J]. Journal of Shanghai Jiaotong University, 2021, 55(S2): 103- 109.
[16] 杨胜春，汤必强，姚建国，等.基于态势感知的电网自动智能调度架构及关键技术[J].电网技术，2014，38（1）：33-39. YANG Shengchun, TANG Biqiang, YAO Jianguo, et al. Architecture and Key Technologies of Grid Automatic Intelligent Dispatching Based on Situation Awareness[J]. Power System Technology, 2014, 38(1): 33-39.
[17] 李华，陆明璇，佟永吉，等.态势感知技术在新型电力系统运行中的应用[J].综合智慧能源，2023，45（3）：24-33. LI Hua, LU Mingxuan, TONG Yongji, et al. Application of Situation Awareness Technology in the Operation of New Power Systems[J]. Integrated Intelligent Energy, 2023, 45(3): 24-33.
[18] 刘晟源，林振智，李金城，等.电力系统态势感知技术研究综述与展望[J].电力系统自动化，2020，44（3）：229-239. LIU Shengyuan, LIN Zhenzhi, LI Jincheng, et al. A Review and Prospect of Situation Awareness Technology in Power Systems[J]. Automation of Electric Power Systems, 2020, 44(3): 229-239.
[19] 刘俊勇，沈晓东，田立峰，等.智能电网下可视化技术的展望[J]. 电力自动化设备，2010，30（1）：7-13. LIU Junyong, SHEN Xiaodong, TIAN Lifeng, et al. Visualization Technology Prospects in Intelligent Power Grid[J]. Electric Power Automation Equipment, 2010, 30(1): 7-13.
[20] 刘玉岭，唐云善，张琦，等.电力调度自动化软件安全态势评估方法[J].信息网络安全，2019（8）：15-21. LIU Yuling, TANG Yunshan, ZHANG Qi, et al. Method for security situational assessment of power dispatch automation software[J]. Netinfo Security, 2019(8): 15-21.
[21] 杨菁，张鹏飞，徐晓伟，等.电网态势感知技术国内外研究现状初探[J].华东电力，2013，41（8）：1575-1581. YANG Jing, ZHANG Pengfei, XU Xiaowei, et al. Preliminary exploration of the research status of power grid situational awareness technology at home and abroad[J]. East China Electric Power, 2013, 41(8): 1575-1581.
[22] 李立浧.透明电网赋能新型电力系统建设[J].中国电力企业管理，2022，658（1）：14-17. LI Licheng. Transparent Power Grid Empowers the Construction of New Power Systems[J]. China Power Enterprise Management, 2022, 658(1): 14-17.
[23] 莫非.打造“透明电网”服务新型电力系统[N/OL].中国电力报， 2021-10-25[2023-08-07].https://link.cnki.net/doi/10.28061/n.cnki.ncdlb.2021.001936.
[24] 荆孟春，王继业，程志华，等.电力物联网传感器信息模型研究与应用[J].电网技术，2014，38（2）：532-537. JING Mengchun, WANG Jiye, CHENG Zhihua, et al. Research and Application of Information Model for Power Internet of Things Sensors[J]. Power System Technology, 2014, 38(2): 532-537.
[25] 李立浧，蔡泽祥，唐文虎，等.透明电网理论框架与关键技术[J]. 中国工程科学，2022，24（4）：32-43. LI Licheng, CAI Zexiang, TANG Wenhu, et al. Theoretical Framework and Key Technologies of Transparent Power Grid [J]. Strategic Study of CAE, 2022, 24(4): 32-43.
[26] 柯海波.基于HPLC在智能电网数据采集中的应用探讨[J].四川电力技术，2021，44（1）：58-61. KE Haibo. Application Exploration of HPLC in Intelligent Power Grid Data Acquisition[J]. Sichuan Electric Power Technology, 2021, 44(1): 58-61.
[27] 孙斌，王迪.基于改进NSGA2算法的电力系统经济调度优化[J]. 机电工程技术，2024，53（3）：258-263. SUN Bin, WANG Di. Economic Dispatching Optimization of Power System Based on Improved NSGA2 Algorithm[J]. Mechanical & Electrical Engineering Technology, 2024, 53(3): 258-263.
[28] 任雁铭，操丰梅，唐喜，等.智能电网的通信技术标准化建议[J]. 电力系统自动化，2011，35（3）：1-4，61. REN Yanming, CAO Fengmei, TANG Xi, et al. Suggestions for Communication Technology Standardization of Smart Grid [J]. Automation of Electric Power Systems, 2011, 35(3): 1-4, 61.
[29] 蔡勇.数据挖掘技术在电网运营监控平台建设中的研究与应用[D].上海：上海交通大学，2013.
[30] 唐文虎，陈星宇，李立浧，等. 面向智慧能源系统的数字孪生技术及其应用[J].中国工程科学，2020，22（4）：74-85. TANG Wenhu, CHEN Xingyu, LI Licheng, et al. Digital Twin Technology and Its Application for Smart Energy Systems[J]. Strategic Study of CAE, 2020, 22(4): 74-85.
[31] 闪鑫，陆晓，翟明玉，等.人工智能应用于电网调控的关键技术分析[J].电力系统自动化，2019，43（1）：49-57. SHAN Xin, LU Xiao, ZHAI Mingyu, et al. Analysis of Key Technologies of Artificial Intelligence Applied to Grid Regulation[J]. Automation of Electric Power Systems, 2019, 43(1): 49-57.
[32] 刘宏，王平.电力安全生产管理应引入和应用安全行为科学理论[J].林业勘查设计，2007（3）：87-88. LIU Hong, WANG Ping. Introduction and Application of Safety Behavior Science Theory in Power Safety Production Management[J]. Forest Investigation Design, 2007(3): 87-88.
[33] 杜家兵.国产分布式数据库在电力行业的应用[J].电子测试， 2020（12）：51-55. DU Jiabing. Application of Domestic Distributed Database in Power Industry[J]. Electronic Test, 2020(12): 51-55.
[34] 荆孟春，王继业，程志华，等.电力物联网传感器信息模型研究与应用[J].电网技术，2014，38（2）：532-537. JING Mengchun, WANG Jiye, CHENG Zhihua, et al. Research and Application of Sensor Information Model in Power Internet of Things[J]. Power System Technology, 2014, 38(2): 532-537.
[35] Gungor V C, Lambert F C. A survey on communication networks for electric system automation[J]. Computer Networks, 2006, 50(7): 877-897.
[36] Aman S, Simmhan Y, Prasanna V K. Holistic measures for evaluating prediction models in smart grids[J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 27(2): 475-488.
[37] PAN H M, DOU Z L, CAI Y X, et al. Digital Twin and Its Application in Power System[C]//2020 5th International Conference on Power and Renewable Energy (ICPRE). Shanghai: IEEE, 2020: 21-26.
[38] CHEN K, HE Z, WANG S X, et al. Learning -based data analytics: Moving towards transparent power grids[J]. CSEE Journal of Power and Energy Systems, 2018, 4(1): 67-82.
[39] WANG F Y. The emergence of intelligent enterprises: From CPS to CPSS[J]. IEEE Intelligent Systems, 2010, 25(4): 85-88.
[40] WANG F Y. Software-defined systems and knowledge automation: a parallel paradigm shift from Newton to Merton [J]. Acta Automatica Sinica, 2015, 41(1): 1-8.
[41] LYU J H, WEN G H, LU R Q, et al. Networked Knowledge and Complex Networks: An Engineering View[J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9(8): 1366-1383.
[42] 王飞跃.平行系统方法与复杂系统的管理和控制[J].控制与决策, 2004（5）：485-489，514. WANG Feiyue. Parallel System Approach and Management & Control of Complex Systems[J]. Control and Decision, 2004(5): 485-489, 514.
[43] 杨静，王晓，王雨桐，等.平行智能与CPSS：三十年发展的回顾与展望[J].自动化学报，2023，49（3）：614-634. YANG Jing, WANG Xiao, WANG Yutong, et al. Parallel Intelligence and CPSS: A Retrospective and Prospective Review of Thirty Years of Development[J]. Acta Automatica Sinica, 2023, 49(3): 614-634.
[44] 李鹏，陈元峰，周钱雨凡，等.电力市场环境下信息物理社会融合的电力系统优化调度[J].中国电机工程学报，2023，43（9）：3354- 3366. LI Peng, CHEN Yuanfeng, ZHOU Qianyufan, et al. Optimization and Scheduling of Power Systems with Information-Physical-Social Integration in the Electricity Market Environment[J]. Proceedings of the CSEE, 2023, 43(9): 3354-3366.
[2] Theureau J. Use of Nuclear-Reactor Control Room Simulators in Research and Development[J]. IFAC Proceedings Volumes, 1998, 31(26): 365-370.
[3] Endsley M R, Farley T C, Jones W M, et al. Situation awareness information requirements for commercial airline pilots[R]. New York: International Center for Air Transportation, 1998.
[4] Endsley M R. Toward a theory of situation awareness in dynamic systems[J]. Human factors, 1995, 37(1): 32-64.
[5] Tanner, Axel, Blarer, et al. Gaining an Edge in Cyberspace with Advanced Situational Awareness[J]. IEEE Security & Privacy, 2015, 13(2): 65-74.
[6] 贺玲，贺照辉.大数据技术在战场态势感知中的应用[J].科技与创新，2023，223（7）：178-181. HE Ling, HE Zhaohui. Application of big data technology in battlefield situational awareness[J]. Science and Technology & Innovation, 2023, 223(7): 178-181.
[7] 刘科.认知技术在战场态势感知中的应用[J].指挥信息系统与技术，2021，12（3）：13-18. LIU Ke. Application of cognitive technology in battlefield situational awareness[J]. Command Information Systems and Technology, 2021, 12(3): 13-18.
[8] Bass T, Gruber D. A glimpse into the future of id[J]. Mag. Usenix Sage, 1999, 24(3): 40-49.
[9] 席荣荣，云晓春，金舒原，等.网络安全态势感知研究综述[J].计算机应用，2012，32（1）：1-4，59. XI Rongrong, YUN Xiaochun, JIN Shuyuan, et al. Research overview of network security situational awareness[J]. Journal of Computer Applications, 2012, 32(1): 1-4, 59.
[10] 杨宇，谷宇恒.网络安全态势感知综述[J].科学技术与工程， 2022，22（34）：15011-15019. YANG Yu, GU Yuheng. Research overview of network security situational awareness[J]. Science Technology and Engineering, 2022, 22(34): 15011-15019.
[11] 何俊，于华，邓长虹，等.极端天气下基于态势感知的重点区域电网负荷供电保障策略[J].高电压技术，2022，48（4）：1277-1285. HE Jun, YU Hua, DENG Changhong, et al. Key Area Power Supply Guarantee Strategy for Grid Load Based on Situation Awareness under Extreme Weather[J]. High Voltage Engineering, 2022, 48(4): 1277-1285.
[12] 刘鑫蕊，李欣，孙秋野，等.考虑冰灾环境的配电网态势感知和薄弱环节辨识方法[J].电网技术，2019，43（7）：2243-2252. LIU Xinrui, LI Xin, SUN Qiuye, et al. Method of Distribution Network Situation Awareness and Identification of Vulnerable Links Considering Ice Disaster Environment[J]. Power System Technology, 2019, 43(7): 2243-2252.
[13] 牛瑞丽.基于物联网技术的电气火灾监控系统的设计与实现[D]. 西安：西安电子科技大学，2020.
[14] 刘智勇，赵晓丹，祁宏昌，等.新时代无人机电力巡检技术展望[J].南方能源建设，2019，6（4）：1-5. LIU Zhiyong, ZHAO Xiaodan, QI Hongchang, et al. Prospect of UAV Power Inspection Technology in the New Era[J]. Southern Energy Construction, 2019, 6(4): 1-5.
[15] 张亮，屈刚，李慧星，等.智能电网电力监控系统网络安全态势感知平台关键技术研究及应用[J].上海交通大学学报，2021，55（增刊2）：103-109. ZHANG Liang, QU Gang, LI Huixing, et al. Research and Application of Key Technologies for Network Security Situation Awareness Platform of Smart Grid Power Monitoring System [J]. Journal of Shanghai Jiaotong University, 2021, 55(S2): 103- 109.
[16] 杨胜春，汤必强，姚建国，等.基于态势感知的电网自动智能调度架构及关键技术[J].电网技术，2014，38（1）：33-39. YANG Shengchun, TANG Biqiang, YAO Jianguo, et al. Architecture and Key Technologies of Grid Automatic Intelligent Dispatching Based on Situation Awareness[J]. Power System Technology, 2014, 38(1): 33-39.
[17] 李华，陆明璇，佟永吉，等.态势感知技术在新型电力系统运行中的应用[J].综合智慧能源，2023，45（3）：24-33. LI Hua, LU Mingxuan, TONG Yongji, et al. Application of Situation Awareness Technology in the Operation of New Power Systems[J]. Integrated Intelligent Energy, 2023, 45(3): 24-33.
[18] 刘晟源，林振智，李金城，等.电力系统态势感知技术研究综述与展望[J].电力系统自动化，2020，44（3）：229-239. LIU Shengyuan, LIN Zhenzhi, LI Jincheng, et al. A Review and Prospect of Situation Awareness Technology in Power Systems[J]. Automation of Electric Power Systems, 2020, 44(3): 229-239.
[19] 刘俊勇，沈晓东，田立峰，等.智能电网下可视化技术的展望[J]. 电力自动化设备，2010，30（1）：7-13. LIU Junyong, SHEN Xiaodong, TIAN Lifeng, et al. Visualization Technology Prospects in Intelligent Power Grid[J]. Electric Power Automation Equipment, 2010, 30(1): 7-13.
[20] 刘玉岭，唐云善，张琦，等.电力调度自动化软件安全态势评估方法[J].信息网络安全，2019（8）：15-21. LIU Yuling, TANG Yunshan, ZHANG Qi, et al. Method for security situational assessment of power dispatch automation software[J]. Netinfo Security, 2019(8): 15-21.
[21] 杨菁，张鹏飞，徐晓伟，等.电网态势感知技术国内外研究现状初探[J].华东电力，2013，41（8）：1575-1581. YANG Jing, ZHANG Pengfei, XU Xiaowei, et al. Preliminary exploration of the research status of power grid situational awareness technology at home and abroad[J]. East China Electric Power, 2013, 41(8): 1575-1581.
[22] 李立浧.透明电网赋能新型电力系统建设[J].中国电力企业管理，2022，658（1）：14-17. LI Licheng. Transparent Power Grid Empowers the Construction of New Power Systems[J]. China Power Enterprise Management, 2022, 658(1): 14-17.
[23] 莫非.打造“透明电网”服务新型电力系统[N/OL].中国电力报， 2021-10-25[2023-08-07].https://link.cnki.net/doi/10.28061/n.cnki.ncdlb.2021.001936.
[24] 荆孟春，王继业，程志华，等.电力物联网传感器信息模型研究与应用[J].电网技术，2014，38（2）：532-537. JING Mengchun, WANG Jiye, CHENG Zhihua, et al. Research and Application of Information Model for Power Internet of Things Sensors[J]. Power System Technology, 2014, 38(2): 532-537.
[25] 李立浧，蔡泽祥，唐文虎，等.透明电网理论框架与关键技术[J]. 中国工程科学，2022，24（4）：32-43. LI Licheng, CAI Zexiang, TANG Wenhu, et al. Theoretical Framework and Key Technologies of Transparent Power Grid [J]. Strategic Study of CAE, 2022, 24(4): 32-43.
[26] 柯海波.基于HPLC在智能电网数据采集中的应用探讨[J].四川电力技术，2021，44（1）：58-61. KE Haibo. Application Exploration of HPLC in Intelligent Power Grid Data Acquisition[J]. Sichuan Electric Power Technology, 2021, 44(1): 58-61.
[27] 孙斌，王迪.基于改进NSGA2算法的电力系统经济调度优化[J]. 机电工程技术，2024，53（3）：258-263. SUN Bin, WANG Di. Economic Dispatching Optimization of Power System Based on Improved NSGA2 Algorithm[J]. Mechanical & Electrical Engineering Technology, 2024, 53(3): 258-263.
[28] 任雁铭，操丰梅，唐喜，等.智能电网的通信技术标准化建议[J]. 电力系统自动化，2011，35（3）：1-4，61. REN Yanming, CAO Fengmei, TANG Xi, et al. Suggestions for Communication Technology Standardization of Smart Grid [J]. Automation of Electric Power Systems, 2011, 35(3): 1-4, 61.
[29] 蔡勇.数据挖掘技术在电网运营监控平台建设中的研究与应用[D].上海：上海交通大学，2013.
[30] 唐文虎，陈星宇，李立浧，等. 面向智慧能源系统的数字孪生技术及其应用[J].中国工程科学，2020，22（4）：74-85. TANG Wenhu, CHEN Xingyu, LI Licheng, et al. Digital Twin Technology and Its Application for Smart Energy Systems[J]. Strategic Study of CAE, 2020, 22(4): 74-85.
[31] 闪鑫，陆晓，翟明玉，等.人工智能应用于电网调控的关键技术分析[J].电力系统自动化，2019，43（1）：49-57. SHAN Xin, LU Xiao, ZHAI Mingyu, et al. Analysis of Key Technologies of Artificial Intelligence Applied to Grid Regulation[J]. Automation of Electric Power Systems, 2019, 43(1): 49-57.
[32] 刘宏，王平.电力安全生产管理应引入和应用安全行为科学理论[J].林业勘查设计，2007（3）：87-88. LIU Hong, WANG Ping. Introduction and Application of Safety Behavior Science Theory in Power Safety Production Management[J]. Forest Investigation Design, 2007(3): 87-88.
[33] 杜家兵.国产分布式数据库在电力行业的应用[J].电子测试， 2020（12）：51-55. DU Jiabing. Application of Domestic Distributed Database in Power Industry[J]. Electronic Test, 2020(12): 51-55.
[34] 荆孟春，王继业，程志华，等.电力物联网传感器信息模型研究与应用[J].电网技术，2014，38（2）：532-537. JING Mengchun, WANG Jiye, CHENG Zhihua, et al. Research and Application of Sensor Information Model in Power Internet of Things[J]. Power System Technology, 2014, 38(2): 532-537.
[35] Gungor V C, Lambert F C. A survey on communication networks for electric system automation[J]. Computer Networks, 2006, 50(7): 877-897.
[36] Aman S, Simmhan Y, Prasanna V K. Holistic measures for evaluating prediction models in smart grids[J]. IEEE Transactions on Knowledge and Data Engineering, 2014, 27(2): 475-488.
[37] PAN H M, DOU Z L, CAI Y X, et al. Digital Twin and Its Application in Power System[C]//2020 5th International Conference on Power and Renewable Energy (ICPRE). Shanghai: IEEE, 2020: 21-26.
[38] CHEN K, HE Z, WANG S X, et al. Learning -based data analytics: Moving towards transparent power grids[J]. CSEE Journal of Power and Energy Systems, 2018, 4(1): 67-82.
[39] WANG F Y. The emergence of intelligent enterprises: From CPS to CPSS[J]. IEEE Intelligent Systems, 2010, 25(4): 85-88.
[40] WANG F Y. Software-defined systems and knowledge automation: a parallel paradigm shift from Newton to Merton [J]. Acta Automatica Sinica, 2015, 41(1): 1-8.
[41] LYU J H, WEN G H, LU R Q, et al. Networked Knowledge and Complex Networks: An Engineering View[J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9(8): 1366-1383.
[42] 王飞跃.平行系统方法与复杂系统的管理和控制[J].控制与决策, 2004（5）：485-489，514. WANG Feiyue. Parallel System Approach and Management & Control of Complex Systems[J]. Control and Decision, 2004(5): 485-489, 514.
[43] 杨静，王晓，王雨桐，等.平行智能与CPSS：三十年发展的回顾与展望[J].自动化学报，2023，49（3）：614-634. YANG Jing, WANG Xiao, WANG Yutong, et al. Parallel Intelligence and CPSS: A Retrospective and Prospective Review of Thirty Years of Development[J]. Acta Automatica Sinica, 2023, 49(3): 614-634.
[44] 李鹏，陈元峰，周钱雨凡，等.电力市场环境下信息物理社会融合的电力系统优化调度[J].中国电机工程学报，2023，43（9）：3354- 3366. LI Peng, CHEN Yuanfeng, ZHOU Qianyufan, et al. Optimization and Scheduling of Power Systems with Information-Physical-Social Integration in the Electricity Market Environment[J]. Proceedings of the CSEE, 2023, 43(9): 3354-3366.
基本信息:
DOI：10.19929/j.cnki.nmgdljs.2024.0077
中图分类号:
引用信息:
[1]李中亮1,谢波林2,李中明3.态势感知在新型电力系统中的应用[J],2024,42(06):31-39.DOI:10.19929/j.cnki.nmgdljs.2024.0077.
基金信息:
国家自然科学基金项目“低压配电网拓扑智能辨识的模型及其灰数据影响机理研究”（52177085）
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