非理想通信环境下主动配电网柔性负荷建模与优化控制方法A modeling and optimal control method of flexible load in the active distribution networks in non-ideal communication environments
徐重酉,王明月,刘天元,姚家煊,宋晓阳
XU Chongyou,WANG Mingyue,LIU Tianyuan,YAO Jiaxuan,SONG Xiaoyang
摘要(Abstract):
针对主动配电网中因通信异常导致的控制扰动问题,提出一种适应非理想通信环境的主动配电网柔性负荷建模与控制方法。在非理想的通信环境中,建立柔性负荷混合系统控制模型,引入信息时延参量推导含时变信息的状态转移矩阵,并提出非理想通信环境下柔性分布式负荷的混合系统建模与主动配电网控制优化方法。在某冷库制冷负荷算例中对所提方法进行仿真验证,综合比较所提方法与未考虑信息时延的传统控制方法在功率波动、总体能耗等方面的表现。实验结果表明,所提方法有效抑制了信息时延导致的控制扰动,实现了平抑馈线功率、降低总体能耗的目的。
Given the control perturbations in active distribution networks(ADNs) due to communication anomalies, a flexible load modeling and control method for active distribution networks adapted to non-ideal communication environments is introduced. In the non-ideal communication environments, a hybrid system control model of flexible loads is established, the information time delay parameter is introduced to derive the state transfer matrix containing time-varying information, and a hybrid system modeling and active distribution network control optimization method for flexible distributed loads in the non-ideal communication environment is proposed. The proposed method is simulated and verified in refrigeration load calculations within a cold store, and the performance of the method is compared with that of the traditional control method without considering the information delay in terms of power fluctuation and overall energy consumption. The experimental results demonstrate that the proposed method can mitigate the control perturbations arising from information delay, smooth out feeder power, and reduce the overall energy consumption.
关键词(KeyWords):
主动配电网;柔性负荷;非理想通信;混合系统;建模
ADN;flexible load;flexible load;non-ideal communication;hybrid system
基金项目(Foundation): 国网浙江省电力有限公司科技项目(5211NB21N002)
作者(Author):
徐重酉,王明月,刘天元,姚家煊,宋晓阳
XU Chongyou,WANG Mingyue,LIU Tianyuan,YAO Jiaxuan,SONG Xiaoyang
DOI: 10.19585/j.zjdl.202311013
参考文献(References):
- [1] ELLEN S,ROSE AMY D,MICHELLE G.Book review:the third industrial revolution:how lateral power is transforming energy, the economy,and the world[J]. Adult Learning,2013,24(1):50-51.
- [2] TSAI J,YU P S. Machine learning in cyber trust:security, privacy, and reliability[M].New York:Springer Science&Business Media,2009:3-13.
- [3]姚建国,杨胜春,王珂,等.智能电网“源—网—荷”互动运行控制概念及研究框架[J].电力系统自动化,2012,36(21):1-6.YAO Jianguo,YANG Shengchun,WANG Ke,et al.Concept and research framework of smart grid “source-gridload” interactive operation and control[J].Automation of Electric Power Systems,2012,36(21):1-6.
- [4]智力.混合逻辑动态建模及其模型预测控制研究[D].杭州:浙江大学,2006.ZHI Li.Research on dynamic modeling of mixed logic and its model predictive control[D].Hangzhou:Zhejiang University,2006.
- [5] BEMPORAD A,MORARI M. Control of systems integrating logic,dynamics, and constraints[J]. Automatica,1999,35(3):407-427.
- [6] SHI D W,ELLIOTT R J,CHEN T W. On finite-state stochastic modeling and secure estimation of cyberphysical systems[J]. IEEE Transactions on Automatic Control,2017,62(1):65-80.
- [7] FACCHINETTI T,DELLA VEDOVA M L.Real-time modeling for direct load control in cyber-physical power systems[J].IEEE Transactions on Industrial Informatics,2011,7(4):689-698.
- [8]王珂,姚建国,姚良忠,等.电力柔性负荷调度研究综述[J].电力系统自动化,2014,38(20):127-135.WANG Ke,YAO Jianguo,YAO Liangzhong,et al.Survey of research on flexible loads scheduling technologies[J]. Automation of Electric Power Systems,2014,38(20):127-135.
- [9]许朝阳,阮文骏,肖楚鹏,等.支撑负荷侧资源柔性调控的新型电力负荷管理系统研究[J].电力需求侧管理,2022,24(5):8-14.XU Zhaoyang,RUAN Wenjun,XIAO Chupeng,et al.Research on new power load management system supporting flexible regulation of load side resources[J]. Power Demand Side Management,2022,24(5):8-14.
- [10]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.
- [11]于汀,刘广一,蒲天骄,等.计及柔性负荷的主动配电网多源协调优化控制[J].电力系统自动化,2015,39(9):95-100.YU Ting,LIU Guangyi,PU Tianjiao,et al.Multiple coordinated optimization control of active distribution network considering flexible load[J].Automation of Electric Power Systems,2015,39(9):95-100.
- [12]王云,刘东,李庆生.主动配电网中柔性负荷的混合系统建模与控制[J].中国电机工程学报,2016,36(8):2142-2150.WANG Yun,LIU Dong,LI Qingsheng.Modeling and control of flexible load based on hybrid system in active distribution network[J]. Proceedings of the CSEE,2016,36(8):2142-2150.
- [13] XU X L,SONG Y Q,YAN Z.Consensus-based sourceload-storage optimal dispatch for active distributed network in dynamic multi-agent system[C]//2018 IEEE Power&Energy Society General Meeting(PESGM).August 5-10,2018,Portland,OR,USA:IEEE,2018:1-5.
- [14] YANG Z Q,LI Y J,XIANG J.Coordination control strategy for power management of active distribution networks[J].IEEE Transactions on Smart Grid,2019,10(5):5524-5535.
- [15]田美君,刘沈全,汪隆君,等.非理想通信环境下主动配电网多源协同调控策略[J].电力系统及其自动化学报,2022,34(11):42-51.TIAN Meijun,LIU Shenquan,WANG Longjun,et al.Multi-source coordinated regulation strategy of active distribution network in non-ideal communication environment[J].Proceedings of the CSU-EPSA,2022,34(11):42-51.
- [16]贾宏杰,陈建华,余晓丹.时滞环节对电力系统小扰动稳定性的影响[J].电力系统自动化,2006,30(5):5-8.JIA Hongjie,CHEN Jianhua,YU Xiaodan.Impact of time delay on power system small signal stability[J].Automation of Electric Power Systems,2006,30(5):5-8.
- [17]古丽扎提·海拉提,王杰.多时滞广域测量电力系统稳定分析与协调控制器设计[J].电工技术学报,2014,29(2):279-289.GULIZHATI HAILATI,WANG Jie. Multiple time delays analysis and coordinated stability control for power system wide area measurement[J].Transactions of China Electrotechnical Society,2014,29(2):279-289.
- [18]王云.基于混合系统的主动配电网信息物理融合建模与控制[D].上海:上海交通大学,2017WANG Yun.Cyber physical system integration modeling and control for active distribution network based on hybrid system[D]. Shanghai:Shanghai Jiao Tong University,2017.