调控云环境下在线计算软件服务研究与应用分析
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摘要
为提高调控云体系下在线计算软件服务化水平,分析了调控云环境下在线计算软件的服务场景,设计了在线计算软件服务的层次结构。为适应这种"痩客户端、胖服务器端"的类B/S(Browser/Server)软件服务访问模式,将在线计算流程进行分析拆解封装成计算服务单元。采用多代理机制设计了层次化的在线计算服务框架,以搭积木组合排列的方式提供在线计算软件服务。最后在JADE(Java Agent Development Framework)多代理框架下设计实现了调度员潮流计算软件服务,进行了相关测试与分析。并对提供潮流计算软件服务的同时所引起的效率损失问题提出了进一步优化的技术措施。
First of all, online computing software service scene is analyzed and hierarchical structure is designed in order to improve service capabilities of the software under dispatching and control cloud. And in "skinny client, fat server" running and operation environment which is similar to browse/server mode, online computing processes are decomposed and encapsulated into computing service units. At the same time, online computation service framework is designed using multi-agent mechanism, and these units will be called and integrated in building blocks way to provide online computing software service. Finally, the dispatcher load flow software service is designed and implemented based on the JADE(Java Agent Development Framework) multi-agent framework, and related performance test and analysis are carried out in detail. The problem that in the meanwhile providing load flow software service will bring low efficiency is analyzed, and further optimization steps are proposed.
First of all, online computing software service scene is analyzed and hierarchical structure is designed in order to improve service capabilities of the software under dispatching and control cloud. And in "skinny client, fat server" running and operation environment which is similar to browse/server mode, online computing processes are decomposed and encapsulated into computing service units. At the same time, online computation service framework is designed using multi-agent mechanism, and these units will be called and integrated in building blocks way to provide online computing software service. Finally, the dispatcher load flow software service is designed and implemented based on the JADE(Java Agent Development Framework) multi-agent framework, and related performance test and analysis are carried out in detail. The problem that in the meanwhile providing load flow software service will bring low efficiency is analyzed, and further optimization steps are proposed.
引文
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[15]郭健,周京阳,李强,等.加权消去树建模方法及其在电网计算矩阵排序性能评价中的应用[J].电网技术,2018,42(4):1316-1321.GUO Jian,ZHOU Jingyang,LI Qiang,et al.Weighted elimination tree modeling method and its application in power grid matrix ordering performance evaluation[J].Power System Technology,2018,42(4):1316-1321.
[16]王家融,艾欣,王坤宇,等.基于增广雅可比矩阵的交直流解耦潮流新算法[J].电工技术学报,2018,33(6):1382-1389.WANG Jiarong,AI Xin,WANG Kunyu,et al.A novel ac-dc decoupled power flow calculation method based on the augmented jacobian matrix[J].Transactions of China Electrotechnical Society,2018,33(6):1382-1389.
[17]廖小兵,刘开培,张亚超,等.基于区间泰勒展开的不确定性潮流分析[J].电工技术学报,2018,33(4):750-758.LIAO Xiaobing,LIU Kaipei,ZHANG Yachao,et al.Uncertain power flow analysis based on interval taylor expansion[J].Transactions of China Electrotechnical Society,2018,33(4):750-758.
[18]张涛,张东方,王凌云,等.基于改进小生境粒子群算法的主动配电网优化重构[J].信阳师范学院学报(自然科学版),2018,31(3):473-478.ZHANG Tao,ZHANG Dongfang,WANG Lingyun,et al.Optimal reconfiguration of the active distribution network based on improved niche multi-objective particle swarm optimization algorithm[J].Journal of Xinyang Normal University(Natural Science Edition),2018,31(3):473-478.
[19]DHARMAPANDIT O,PATNAIK R K,DASH P K.Afast time-frequency response based differential spectral energy protection of AC microgrids including fault location[J].Protection and Control of Modern Power Systems,2017,2(2):331-358.DOI:10.1186/s41601-017-0062-0.
[20]李亚楼,周孝信,吴中习.基于PC机群的电力系统机电暂态仿真并行算法[J].电网技术,2003,27(11):7-12.LI Yalou,ZHOU Xiaoxin,WU Zhongxi.Personal computer cluster based parallel algorithm for power system electromechnical transient stability simulation[J].Power System Technology,2003,27(11):7-12.
[21]LI Zhao,DONDE V D,TOURNIEL J C,et al.On limitation of traditional multi-core and potential of many-core processing architectures for sparse linear solvers used in large-scale power system applications[C]//IEEE Power and Energy Society General Meeting,July24-29,2011,Detroit,MI,USA:1-8.
[22]TOURNIER J C,DONDE V,LI Zhao.Potential of general purpose graphic processing unit for energy management system[C]//6th International Symposium on Parallel Computing in Electrical Engineering,April3-7,2011,Luton,UK:50-55.
[23]于尔铿,刘广一,周京阳.能量管理系统[M].北京:科学出版社,1998.
[24]BELLIFEMINE F,CAIRE G,GREENWOOD D.Developing multi-agent systems with JADE[M].John Wiley&Sons,2007.
[2]辛耀中,石俊杰,周京阳,等.智能电网调度控制系统研究现状与技术展望[J].电力系统自动化,2015,39(1):2-8.XIN Yaozhong,SHI Junjie,ZHOU Jingyang,et al.Technology development trends of smart grid dispatching and control systems[J].Automation of Electric Power Systems,2015,39(1):2-8.
[3]LITVINOV E,MA Feng,ZHANG Qiang,et al.Cloudbased next-generation IT paradigm for the operations of future power systems[C]//Power Systems Computation Conference,June 20-24,2016,Genoa,Italy:1-7.
[4]许洪强.调控云架构及应用展望[J].电网技术,2017,41(10):3103-3011.XU Hongqiang.Architecture of dispatching and control cloud and its application prospect[J].Power System Technology,2017,41(10):3103-3011.
[5]沐连顺,崔立忠,安宁.电力系统云计算中心的研究与实践[J].电网技术,2011,35(6):171-175.MU Lianshun,CUI Lizhong,AN Ning.Research and practice of cloud computing center for power system[J].Power System Technology,2011,35(6):171-175.
[6]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,2017,42(3):149-159.GUO Jian,ZHOU Jingyang,LI Qiang,et al.Current status of high-performance on-line analysis computation and key technologies for cooperating computation[J].Automation of Electric Power Systems,2017,42(3):149-159.
[7]常乃超,张智刚,卢强,等.智能电网控制系统新型应用架构设计[J].电力系统自动化,2015,39(1):53-59.CHANG Naichao,ZHANG Zhigang,LU Qiang,et al.Anovel application architecture design for smart grid dispatching and control systems[J].Automation of Electric Power Systems,2015,39(1):53-59.
[8]MA Feng,LUO Xiaochuan,LITVIONV E.Cloud computation for power system simulations at ISO new England-experiences and challenges[J].IEEE Transactions on Smart Grid,2016,7(6):2596-2603.
[9]李静,罗雅迪,郎燕生,等.面向统一计算分析的互联大电网一体化节点支路计算模型服务[J].电网技术,2017,41(5):1468-1475.LI Jing,LUO Yadi,LANG Yansheng,et al.Integrated node-branch computing model service of large power grid for unified analysis[J].Power System Technology,2017,41(5):1468-1475.
[10]徐得超,李亚楼,郭剑,等.消去树理论及其在潮流计算中的应用[J].电网技术,2007,31(22):13-16.XU Dechao,LI Yalou,GUO Jian,et al.Elimination tree theory and its application in power flow calculation[J].Power System Technology,2007,31(22):13-16.
[11]陈得扬,李亚楼,江涵,等.基于道路树分层的大电网潮流并行算法及其GPU优化实现[J].电力系统自动化,2014,38(24):63-69.CHEN Deyang,LI Yalou,JIANG Han,et al.A parallel power flow algorithm for large-scale grid based on stratified path trees and its implementation on GPU[J].Automation of Electric Power Systems,2014,38(24):63-69.
[12]郎燕生,李静,罗雅迪,等.基于图划分的大电网拓扑分析[J].电力系统保护与控制,2017,45(23):108-115.LANG Yansheng,LI Jing,LUO Yadi,et al.Large power grid topology analysis based on graph partitioning[J].Power System Protection and Control,2017,45(23):108-115.
[13]王健,陈威,汤卫东,等.分布式并行网络拓扑计算关键技术研究[J].电力系统保护与控制,2017,45(2):117-122.WANG Jian,CHEN Wei,TANG Weidong,et al.Research on the key technologies of distributed parallel network topology computing[J].Power System Protection and Control,2017,45(2):117-122.
[14]张国芳,罗雅迪,李静,等.大电网潮流修正方程并行求解实现方法[J].电力系统保护与控制,2017,45(19):117-122.ZHANG Guofang,LUO Yadi,LI Jing,et al.Parallel solution method of power flow correction equation for large-scale power grid[J].Power System Protection and Control,2017,45(19):117-122.
[15]郭健,周京阳,李强,等.加权消去树建模方法及其在电网计算矩阵排序性能评价中的应用[J].电网技术,2018,42(4):1316-1321.GUO Jian,ZHOU Jingyang,LI Qiang,et al.Weighted elimination tree modeling method and its application in power grid matrix ordering performance evaluation[J].Power System Technology,2018,42(4):1316-1321.
[16]王家融,艾欣,王坤宇,等.基于增广雅可比矩阵的交直流解耦潮流新算法[J].电工技术学报,2018,33(6):1382-1389.WANG Jiarong,AI Xin,WANG Kunyu,et al.A novel ac-dc decoupled power flow calculation method based on the augmented jacobian matrix[J].Transactions of China Electrotechnical Society,2018,33(6):1382-1389.
[17]廖小兵,刘开培,张亚超,等.基于区间泰勒展开的不确定性潮流分析[J].电工技术学报,2018,33(4):750-758.LIAO Xiaobing,LIU Kaipei,ZHANG Yachao,et al.Uncertain power flow analysis based on interval taylor expansion[J].Transactions of China Electrotechnical Society,2018,33(4):750-758.
[18]张涛,张东方,王凌云,等.基于改进小生境粒子群算法的主动配电网优化重构[J].信阳师范学院学报(自然科学版),2018,31(3):473-478.ZHANG Tao,ZHANG Dongfang,WANG Lingyun,et al.Optimal reconfiguration of the active distribution network based on improved niche multi-objective particle swarm optimization algorithm[J].Journal of Xinyang Normal University(Natural Science Edition),2018,31(3):473-478.
[19]DHARMAPANDIT O,PATNAIK R K,DASH P K.Afast time-frequency response based differential spectral energy protection of AC microgrids including fault location[J].Protection and Control of Modern Power Systems,2017,2(2):331-358.DOI:10.1186/s41601-017-0062-0.
[20]李亚楼,周孝信,吴中习.基于PC机群的电力系统机电暂态仿真并行算法[J].电网技术,2003,27(11):7-12.LI Yalou,ZHOU Xiaoxin,WU Zhongxi.Personal computer cluster based parallel algorithm for power system electromechnical transient stability simulation[J].Power System Technology,2003,27(11):7-12.
[21]LI Zhao,DONDE V D,TOURNIEL J C,et al.On limitation of traditional multi-core and potential of many-core processing architectures for sparse linear solvers used in large-scale power system applications[C]//IEEE Power and Energy Society General Meeting,July24-29,2011,Detroit,MI,USA:1-8.
[22]TOURNIER J C,DONDE V,LI Zhao.Potential of general purpose graphic processing unit for energy management system[C]//6th International Symposium on Parallel Computing in Electrical Engineering,April3-7,2011,Luton,UK:50-55.
[23]于尔铿,刘广一,周京阳.能量管理系统[M].北京:科学出版社,1998.
[24]BELLIFEMINE F,CAIRE G,GREENWOOD D.Developing multi-agent systems with JADE[M].John Wiley&Sons,2007.
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