多Agent技术在电力系统中的应用研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着电网规模的不断扩大和电力工业的改革,电网对继电保护的要求也越来越高,系统之间的配合也显得更为重要。另外,随着可再生能源技术的飞速发展,风力/太阳能互补发电系统以其清洁和环保得到了越来越广泛的应用。但是,由于风能、太阳能和负荷功率变化的随机性,如何设计一个互补发电场的能量管理系统,对各供电设备实施有效的控制,以满足负荷的需要,并保持供/用电的功率平衡,进而保持本电网的稳定,是应用风力/太阳能互补发电所要解决的主要问题。为此,本论文围绕这两个问题展开了研究和探讨,提出多Agent技术在电力系统中实现输电线路保护和风力/太阳能互补发电场能量管理系统的新思路和新方法。论文主要研究内容如下:
     (1)论文首先阐述了电力系统继电保护和风力/太阳能互补发电场能量管理系统的研究历史和现状,综述了多Agent技术在继电保护和电力系统应用中取得的成果,明确了课题的研究意义和研究内容。
     (2)根据输电线路保护系统的特点,提出了一种适用于线路保护的混合型Agent理论模型,并详细介绍了该Agent各模块的功能。因为要求反应模块的响应时间非常短,所以将保护Agent的反应模块设计成一RBF神经网络,使得Agent可以对区内故障迅速做出反应。最后通过计算机仿真验证了所提出混合型保护Agent能够较好的满足继电保护的要求。
     (3)提出了基于多Agent技术的输电线路保护方案,详细讨论了保护系统的体系结构、任务执行机制和决策过程。该保护方案的基本原理是将每台断路器配置的保护单元视为能独立完成保护任务的Agent,通过多Agent的交互和合作,达成各保护单元的协同和配合,实现输电线路保护的目的。最后通过数字仿真证明了该方案的有效性。
     (4)探讨了互补发电场直流母线电压越限情况下,风力/太阳能互补发电场能量优化管理方法。设计了能量管理Agent的理论模型和管理系统的体系结构,将广播通信方式和合同网的协作策略应用于互补发电场能量管理系统中多Agent的协调;通过智能微粒群算法给出了电压越限情况下最优控制序列。仿真结果表明,该能量管理系统能够对互补发电场实施较好的管理和控制,将直流母线电压限制在容许的范围内。
     论文最后对本研究工作取得的成果及不足进行分析和综合,并说明有待于进一步研究的问题。
Nowadays, innovation of electric power industry and interconnecting network make power system engineers pay more attention to protection relay system. Cooperation and collaboration of system become more and more important. In addition, with the development of renewable technology, renewable hybrid power systems are growing rapidly because of their cleanness. Because of the random changing of wind power, solar energy and load, the application of hybrid power system is very difficult. Therefore, this dissertation focuses on designing a energy management system of the hybrid power system, which can control electric devices effectively, so as to meet the requirement of load and keep the balance between power supply and demand and then keep the stabilization of the electrical network. As the chief dissertation, a new scheme of protection relay of transmission and energy management of hybrid system based on multi-agent system (MAS) theory is proposed and studied systematically. The main contents of this dissertation are as follows:
     The dissertation firstly generalizes an overview of the history and current status of the research on protection relay and energy management of hybrid system. At the same time, it summarizes the theories and techniques of MAS and their applications to fields of protection and power system. The purpose and significance of the projects is also introduced.
     A hybrid agent structure is proposed based on the characteristic of transmission protection. The function of each element is introduced in detail. Because short corresponding time is required, the reactive module is designed as a RBF network. Then it can react rapidly to faults within the protection area. Simulation results show this scheme is able to satisfy the demand of protection relay.
     A transmission protection relay system based on multi-agent is proposed. The configuration, operating mechanism and decision-making process of the transmission protection system are described in detail. In the proposed protection scheme, protection unit of each circuit-breaker is represented as an execution agent, who works either independently or coordinately to fulfill the transmission protection. The simulation results on the test systems are presented to illustrate the validity of the proposed scheme.
     Chapter 5 of this paper concerns with cooperation and optimization of the MAS-based energy management of hybrid power system. The energy management agent's structure and the whole system's configuration are proposed. Broadcast and contract net are introduced to realize coordination and cooperation among management agents. A particle swarm optimization search algorithm is presented and applied to find the optimal control sequence for abnormal voltage control of DC bus.
     At the end of this dissertation, main results of the research are summarized and the further studies are prospected.
引文
[1] 蔡自兴,徐光佑.人工智能及其应用.北京:清华大学出版社,2004.8,第三版
    [2] 石纯一,张伟,徐晋晖,等.多Agent系统引论.北京:电子工业出版社,2003,10
    [3] 刘红进,袁斌,戴宏伟,等.多代理系统及其在电力系统中的应用.电力系统自动化,2001,25(19):45-48
    [4] 史忠植.智能主体及其应用.北京:科技出版社,2002
    [5] 赵龙文,侯义斌.Agent的概念模型及其应用技术.计算机工程与科学,2000,22(6):75-79
    [6] 刘大有,杨鲲,陈建中.Agent的研究现状与发展趋势.软件学报,2000,11(3):15-321
    [7] E. Oliverira, K. Fischer, O. Stepankova. Multi-agent system: which research for which application. Robotics and Autonomous System, 1999,27(2):91-106
    [8] Jun-Yong Liu, Yong-Hua Song. Strategies for handling UPFC constraints in steady-state power flow and voltage control. IEEE Transactions onPower Systems. 2000,15(2):566-571
    [9] A.H. M.A. Rahim, S.A. AI,Baiyat, F.M. Kanlawala. A robust STATCOM controller for power system dynamic performance enhancement. Power Engineering Society Summer Meeting. Vancouver, Canada, 2001,2:887-892
    [10] 何飞跃,段献忠.基于广域测量的滑模TCSC的控制器的设计.电网技术,2006,30(23):50-55
    [11] 叶彬,朱承治,邹振宇,等.柔性交流输电系统控制器的多目标协调设计.浙江大学学报(工学版),2006,41(2):294-298
    [12] 汤新光.用TCSC提高电力系统静态负荷裕度能力.江苏电机工程,2006,25(5):38-41
    [13] Daneshpooy A, Gole A M. Frequency response of the thyristor controlled series capacitor. IEEE Transactions on Power Delivery, 2001,16(1):53-58
    [14] Pilotto LAS, BiancoA, Long WF, et al. Impact of TCSC control methodologies on subsynchronous oscillations. IEEE Transactions on Power Delivery, 2003,18(1):243-252
    [15] Rakimoto N, Phongphanphanee A. Subsynchronous resonance damping control of thyristor-controlled series capacitor. IEEE Trans. On Power Delivery, 2003,18(3):1051-1059
    [16] Nagata T, NakayamaH, Utatani M, et al. Amulti-agent approach to power system normal state operations. IEEE PES Summer Meeting Proceedings. USA, 2002:1582-1586
    [17] Azevedo G P, Feijo B, Costa M. Control centers evolve with agent technology. IEEE Computer Application in Power, 2000,13(3):48-53
    [18] Buse D P, Sun P, Wu Q H et al. Agent-based substation automation. IEEE power&energy, 2003,1(2):50-55
    [19] Wang H F. Multi-agent coordination for the secondary voltage control in power system contingencies. IEE Proc-C, 2001,148(1): 61-66
    [20] 盛戈嗥,涂光瑜,罗毅等.基于多Agent的二级电压控制系统.电力系统自动化,2002,26(5):20-25
    [21] 李欣然,苏盛,陈元新等.Agent技术在电力综合负荷模型辨识系统中的应用.电力自动化设备,2002,22(9):50-52
    [22] 李兰芳,刘开培,胡宇航.基于Multi-Agent的分布式变电站监控系统体系结构.电网技术,2003,27(6):26-28
    [23] 杨旭升,盛万兴,王孙安.多AGETN电网运行决策支持系统体系结构研究.电力系统自动化,2002,26(18):45-49
    [24] Lai L L, Motshegwa T, Subasinghe H et al. Feasibility study with agents on energy trading. 2000 International Conference on Advances in Power System Control, Operation and Management, 2000,2:505-510
    [25] Praca I, Ramos C, Vale Z A. Competitive electricity markets: simulation to improve decision making. IEEE Porto Power rech Proceedings, Porto, Portugal, 2001,1:532-538
    [26] Hossack J, McArthur S D J, McDonald J R et al. A multi-agent approach to power system disturbance diagnosis. 2002 Fifth International Conference on Power System Management and Control, 2002:317-322
    [27] 张丹慧,佟振声,黄敏.基于多Agent的继电保护数据传输系统.电力系统通信,2005,26(6):51-53
    [28] 杨秀媛,梁贵书.风力发电的发展及其市场前景.电网技术,2003,27(7):78—79
    [29] 陈树勇,戴慧珠,白晓民等.风电场的发电可靠性模型及其应用.中国电机工程学报,2000,20(3):26—29
    [30] 崔容强,喜文华,魏一康等.太阳光伏发电.中国建设动态:阳光能源,2004(06M):76—82
    [31] 贺家李.电力系统继电保护技术的研究现状和发展.中国电力,1999,32(10):38-40
    [32] 贺家李,宋从矩.电力系统继电保护原理(第三版).北京:中国电力出版社,2000,7
    [33] Z.格哈德.世界继电保护和变电站控制技术的新进展.水利水电快报,2000,21(8):29-31
    [34] 尹星光,韩荣珍.微机继电保护发展的历史、现状及其趋势.广东电力,2003,16(3):11-14
    [35] 杨奇逊.微机继电保护基础.北京:水利电力出版社,2001
    [36] 张宇辉.电力系统微型计算机继电保护.北京:中国电力出版社,2000
    [37] 王梅义.电网继电保护应用.北京:中国电力出版社,1999
    [38] 蔡百川.高适应性的微机母线保护装置的应用.上海电力,2006(2): 191-194
    [39] 王静,肖凤.主变差动微机保护TA接线方式探讨.四川电力技术,2006,29(6):41-43
    [40] 张方军.微机型中低压母线的保护算法.电气应用,2006,25(11):32-35
    [41] 蔡百川.高适应性微机母线保护装置的应用.上海电力,2006,(2):191-194
    [42] Wong S K, Kalam A. Development of a power protection system using an agent based architecture. In: Proc of International Conference on Energy Management and Power Delivery, 1995,433-438
    [43] Wong S K, Kalam A. Distributed intelligent power system protection using case based and object oriented paradigms. In: Proc of International Conference on Intelligent Systems Applications to Power Systems, 1996,74-78
    [44] Yasushi Tomita, Chihiro Fukui et al. A cooperative protection system with an agent model. IEEE Trans on Power Delivery, 1998,13(4):1060-1066
    [45] 陈艳霞,尹项根,张哲,等.基于多Agent技术的继电保护系统.电力系统自动化,2002,26(12):48-53
    [46] Heydt GT, hin C C, Phadke AG, etal. Solution for the crisis in electric power supply. Computer Applications in Power, (IEEE), 2001,14(3):22-30
    [47] Liu, Jung, Heydt G T, earl. The strategic power infrastructure defense(SPID) system, A conceptual design. IEEE Control Systems, 2000,20(4):40-52
    [48] 王晓蓉,王伟胜,戴慧珠.我国风力发电现状和展望.中国电力,2004,37(1):31-34
    [49] 薛桁,朱瑞兆,杨振斌,等.中国风能资源储量估算.太阳能学报,2001,22(2):167-170
    [50] 李斌,李安定.太阳能热发电技术.电力设备,2004,5(4):80-82
    [51] 胡冬宜,胡钧.门窗散热器为太阳能供暖搭建理想平台.中国建筑金属结构,2005,9:22-26
    [52] 舒海静,李永安,许开颜.济南地区太阳能发电资源潜力分析.制冷与空调,2005,1:68-70
    [53] Rajesb Karki, Roy Billinton. Reliability/Cost implications of PV and wind energy utilization in small isolated power systems. IEEE Transactions on Energy Conversion, 2001,16(4) :368-373
    [54] Roy Billinton, Rajesh Karki. Capacity expansion of small isolated power systems using PV and wind energy. IEEE Trans on Power Systems, 2001,16(4):892-897
    [55] 定世攀.独立运行风/光互补电站控制监控系统的研究[中国科学院电工研究所硕士论文].北京:北京图书馆,2002
    [56] 肖毅.风/光互补发电系统的优化设计[西安交通大学硕士论文].西安:西安交通大学图书馆,2001
    [57] 张淼.风力—太阳能混合发电控制系统的研究[华南理工大学博士论文].广州:华南理工大学图书馆,2004
    [58] 杨苹,杨金明,刘永强,等.分散式风力—太阳能混合发电系统的研制.能源技术,2002,23(3):113-115
    [59] Tsai R, Chen J L. Design of a distributed problem solving system for short term load forecasting. In: Proc of the 35th Midwest Symposium on Circuits and Systems. 1992,395-399
    [60] 曹立霞,厉吉文,程新功,等.基于多Agent技术的分布式电压无功优化控制系统.电网技术,2004,28(7):30-33
    [61] 张明军,曹立霞,厉吉文,等.考虑多分区无功电压优化的多Agent系统.电力系统自动化,2004,28(17):70-74
    [62] 刘志宏,吴福保,范敏等.基于多Agent的配电网电压无功优化控制及其应用.电力系统及其自动化,2003,27(16):74-77
    [63] Yen J, Yah Y H, Wang B J, et al. Multi agent coalition formation in power transmission planning. In: Proceedings of the Thirty First Hawaii International Conference on System Sciences, 1998: 433-443
    [64] Yeung C S K, Pooh A S Y, Wu F F. Game theoretical multi agent modelling of coalition formation for multilateral trades. IEEE Trans on Power Systems, 1999, 14(3): 929-934
    [65] L, Motshegwa T, Subasinghe H et al. Feasibility study with agents on energy trading. 2000 International Conference on Advances in Power System Control, Operation and Management, 2000, 2: 505-510
    [66] Lam Y C, Wu F F. Simulating electricity markets with Java. IEEE Power Engineering Society W'mter Meting, 1999, 1: 406-410
    [67] H J, Yuan B, Dal H W et al. Framework design of ageneral—purpose power market simulator based on multi-agent technology. IEEE Power Engineering Society Summer Meeting, 2001, 3: 1478-1482
    [68] 韩水,汪定伟.基于多代理技术的购电—输电计划优化方法.电力系统自动化,2002,26(13):43-45
    [69] Wei P, Yah Y H, Ni Y X et al. A decentralized approach for optimal whole sale cross-border trade planning using multi-agent technology. IEEE Trans on Power Systems, 2001,16(4): 833-838
    [70] 李晓露,石东源,丁振华等.EMS的MAS体系结构研究.电力系统自动化,2001,25(11):36-40
    [71] 张维明,姚莉.智能协作信息技术.北京:电子工业出版社,2002
    [72] Sycara K. Intelligent agents and the information revolution. UNICOM Seminar on Intelligent Agents and Their Business Application, LONDON, 1995, 8-9: 143-159
    [73] Pan J. U. -C., Tenebaum J. M. An intelligent agent framework for enterprise integration. IEEE Transactions on Systems, Man and Cybernetic, 1991, 21(6): 1391-1408
    [74] Glicksman J., Hitson J. B. L., Pan Y-C., Tenebaum J. M. A conceptually centralized knowledge service for distributed CIM environments. Journal of Intelligent Manufacturing, 1991, 2(1): 27-42
    [75] http://www.siebel.com/callcenter/products.html
    [76] M. Luck, M d'Inverno. A formal framework for agency and autonomy. ICMAS'95, 254-260
    [77] M Wooldridge. Intelligent Agents: Theory and Practice. Knowledge Engineering Review, 1995, 10(2): 115-152
    [78] 何炎强,陈莘明.Agent和多Agent系统的设计与应用.武汉:武汉大学出版社,2001,1
    [79] Xiaobin Wei, Rainer Unland. An XML-based agent communication framework. In: Workshop on agents and CSCW, a fruitful marriage. The German Conference on Computer-supported Cooperative Work, Munich, germany, 2000
    [80] G Weiss. Multi-agent systems: a modern approach to distributed artificial intelligence. The MIT Preee, 1999
    [81] Y Labrou T Finin. A proposal for a new KQML specification. Tech. Report CS-97-03. Computer Science and Electrical Engineering Dept Univ of Maryland Baltimore Country, 1997
    [82] Doran J E, Franklin S, Jennings N R, et al. On cooperation in multi-agent systems. The Knowledge Engineering Review, 1997, 12(3): 309-314
    [83] http://www.ie.utoronto.ca/EIL/public/wcm_aaai94.paper.chris.ps
    [84] Brazier F M T, Dunin-Keplicz B M et al. DESIRE: modeling multi-agent systems in a compositional formal framework. Journal of Cooperative Information Systems, 1997, 6(1): 67-94
    [85] Ferber J, Gutknecht O. Anew-model for the analysis and design of organizations in multi-agent systems. ICMAS-98, Paris, France, 1998, 128-135
    [86] http://www.ncat.edu/esterlin/Notes/Shoham.pdf
    [87] Jennings N R. Cooperation in industrial multi-agent system. World Scientific Series in Computer Science, Singapore, 1994, 1-177
    [88] Matruana, F. P. & Norrie, D. H.. Multi-agent mediator architecture for distributed manufacturing, Jour. of Intelligent Manufacturing, 1996, 7, 257-270
    [89] B Burmeister, A. Haddadi and G. Malylis. Applications of multi-agent systems in traffic and transportation. IEE Transaction on Software Engineering, 1997, 144(1): 51-60
    [90] Gerhard Weib. Introduction to distributed artificial intelligence. MIT Press, Cambridge, MA, 1998
    [91] 刘秋莲.基于多Agent系统的电子商务模型.广州大学学报(自然科学版),2005,4(4):331-336
    [92] 张戎,闫攀宇.基于多Agent的集装箱海铁联运信息系统模型.同济大学学报(自然科学版),2007,35(1):72-76
    [93] 陈璟华,陈少华,杨宜民.基于BP神经网络的自适应单相自动重合闸.高压电器,2003,39(4):43-45
    [94] F Zahra, B Jeyasurya, J E Quaicoe. High-speed transmission line relaying using artificial neural network. Electric Power System Research, 2000, 53: 173-179
    [95] W. W. L Keerthipala, Chan Tat Wai, Wang Huisheng. Neural network based classifier for power system protection. Electric Power System Research, 1997, 42: 109-114
    [96] 刘凤霞,刘前进.基于模糊神经网络的故障类型识别.继电器,2006,34(3):12-14
    [97] 褚法玉,陈晓科,王宁.基于人工神经网络输电线的速断保护.电力自动化设备,2003,3:57-59
    [98] 段玉倩,贺家李.神经网络式距离保护的混合训练算法.电力系统自 动化,2000,10:19-22
    [99] 林高鹏.基于RBF神经网络的距离保护.水利电力机械,2006,28(2):52-54
    [100] 段玉倩,贺家李.基于人工神经网络的距离保护.中国电机工程学报,1999,19(5):67-70
    [101] 段玉倩,贺家李.基于径向基函数网络的距离保护方案.电力系统自动化,2000,(11):24-26
    [102] 段玉倩,贺家李.利用工控机实现神经网络距离保护研究.继电器,2000,28(6):10-14
    [103] 陈少华,余耀权,郑帅,等.基于RBF神经网络的输电线路无通道保护.电力科学与工程,2004,(4):9-11
    [104] 徐其迎,陈少华,李日隆.基于神经网络的输电线路自适应无通道保护.湖南电力,2004,24(1):16-18
    [105] 曹国臣,韩蕾,祝滨.大电网分布式自适应继电保护系统的实现方法.电力系统自动化,2000,24(13):19-22
    [106] 刘连永.自适应电流保护的相关研究.南京工程学院学报(自然科学版),2005,3(2):45-50
    [107] 吴强,袁兆强.自适应电流保护的整定方法.江西电力,2006,30(5):10-12
    [108] 欧阳兵,吕艳萍,骆德昌.配电网网络式自适应电流保护研究,电网技术,2003,27(7):52-55
    [109] 陈璟华,陈少华,杨宜民.多Agent系统及其在电力系统继电保护中的应用.电气应用,2005,24(4):51-55
    [110] 胡巨,杨明玉.Agent技术在超高压输电线路暂态保护中的应用.电力自动化设备,2004,24(5):69-71
    [111] 陈璟华,陈少华,杨宜民.多Agent技术在母线保护中的应用.电力自动化设备,2005,25(12):59-62
    [112] 陈少华,陈璟华,杨宜民.基于多Agent技术的自适应继电保护系统研究.广东工业大学学报,2005,22(1):78-82
    [113] CHEN Jing-hua, CHEN Shao-hua, YANG Yi-min. Study on Multi-agent Based Bus Protection Relay System. Proceedings of 2004 International Conference on Machine Learning and Cybernetics, 2004, 8: 101-104
    [114] CHEN Jing-hua, CHEN Shao-hua, YANG Yi-min. Study on adaptive protection relay system based on multi-agent. Proceedings of 2005 International Conference on Machine Learning and Cybernetics, 2005, 8: 114-118
    [115] 赵龙文,侯义斌.多Agent系统及其组织结构.计算机应用研究,2000,7:12-25
    [116] 颜跃进,李舟军,陈跃新.多Agent系统体系结构.计算机科学,2001,28(5):77-80
    [117] CHEN Jing-hua, CHEN Shao-hua, YANG Yi-min. Multi-agent Based Protection Relay System for Transmission network. Proceedings of 2003 International Conference on Machine Learning and Cybernetics, 2003, 11: 2251-2254
    [118] 王俊普,徐杨,陈逼等.基于Agent的集散控制系统实现方法研究.自动化与仪表,2001,16(3):177-180
    [119] 陈璟华,陈少华,杨宜民,张灵.电力系统二级电压的多智能体协调控制.广东工业大学学报,2003,20(1):28-31
    [120] 盛戈嗥.基于多Agent的二级电压控制系统研究[华中科技大学博士学位论文].武汉:华中科技大学图书馆,2002
    [121] 李爽.风/光互补发电系统优化设计[中国科学院电工研究所].北京:北京图书馆,2001
    [122] H Tianfield, Rainer Unland. How multi-agent problem solving processes can be influenced. In: Proceedings of International ICSC Symposium on Multi-agents and Mobile Agents in Virtual Organizations and E-Commerce, Wollongong, Australia, 2000
    [123] G Weiss. Multi-Agent Systems: a modern approach to distributed artificial intelligence[M], The MIT Press, 1999
    [124] 刘向军,刘师平,张浩,等.多Agent系统通信与协作机制构造. 机械设计与制造工程,2002,31(2):40—42
    [125] 阮若林.多Agent系统之间的通信和协作机制初探.咸宁学院学报,2003,23(6):55-57
    [126] Smith R G, Davis R. Frameworks for Cooperation in Distributed Problem Solving. IEEE Trans. on System, Man and Cybernetics, 1981, SMC-Ⅱ(1): 61-69
    [127] 袁晓辉,王乘,袁艳斌等.一种求解机组组合问题的新型改进粒子群方法.电力系统自动化,2005,29(1):34-38
    [128] Kennedy J, Eberhart R. Particle swarm optimization. Proc IEEE Int Conf on Neural Networks. Perth, 1995: 1942-1948.
    [129] Eberhart R, Kennedy J. A new optimizer using particle swarm theory. Proc 6th Int Symposium on Micro-Machine and Human Science. Nagya, 1995: 39-43.
    [130] Kennedy J, Eberhart R C, Shi Y. Swarm Intelligence. San Francisco: Morgan Kaufman Publishers, 2001.
    [131] Kennedy J. The particle swarm: Social adaptation of knowledge. Proc IEEE Int Conf on Evolutionary Computation. Indiamapolis, 1997. 303-308.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700