社区能源网络能量管理和协调控制仿真与测试平台设计
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摘要
考虑到社区能源网络拓扑多样性,其控制系统的能量管理和协调控制算法的开发仍处于个性化定制阶段,能量管理和协调控制算法及控制系统设备的测试成本高昂。分析社区能源网络仿真测试平台的设计需求,提出基于DIgSILENT和OPC技术的社区能源网络仿真测试平台设计方案。该仿真测试平台考虑了算法仿真和控制系统设备测试两种应用场景,应用DIgSILENT提供的多种控制算法接口,基于分层分布的信息层架构建立平台的算法仿真架构和硬件在环测试框架。最后,针对具体的社区能源网络拓扑对一种能量管理和协调控制策略进行仿真验证。该仿真平台的设计思路有利于模拟复杂的运行工况,为能量管理和协调控制算法和控制系统设备的研究和测试提供了良好的实验平台。
Since the community energy network topology is diverse and the development of energy management and coordination control algorithms is still in the stage of personalized customization,the control algorithms and equipments are costly to test. The design requirements of community energy network simulation and test platform( CENSTP) are analyzed,and the design scheme of CENSTP based on DIgSILENT and OPC technology is proposed in this paper. The CENSTP can be applied to two application scenarios of algorithm simulation and control equipment testing,in which applies various control algorithm interfaces provided by DIgSILENT to build algorithm simulation framework and hardware-in-the-loop test framework based on hierarchically distributed information layer architecture. Finally,the validity of an energy management and coordinated control algorithm is verified through CENSTP based on a specific topology. The design scheme of the CENSTP is beneficial to simulate several complicated scenarios and provide an experimental platform for the development and testing of advanced energy management and coordinated control algorithms and control equipments.
Since the community energy network topology is diverse and the development of energy management and coordination control algorithms is still in the stage of personalized customization,the control algorithms and equipments are costly to test. The design requirements of community energy network simulation and test platform( CENSTP) are analyzed,and the design scheme of CENSTP based on DIgSILENT and OPC technology is proposed in this paper. The CENSTP can be applied to two application scenarios of algorithm simulation and control equipment testing,in which applies various control algorithm interfaces provided by DIgSILENT to build algorithm simulation framework and hardware-in-the-loop test framework based on hierarchically distributed information layer architecture. Finally,the validity of an energy management and coordinated control algorithm is verified through CENSTP based on a specific topology. The design scheme of the CENSTP is beneficial to simulate several complicated scenarios and provide an experimental platform for the development and testing of advanced energy management and coordinated control algorithms and control equipments.
引文
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[16]夏德明,侯凯元,安宁,等.计及火电机组OPC保护模型的电力系统机电动态仿真分析[J].电力系统保护与控制,2017,45(4):145-149.Xia Deming,Hou Kaiyuan,An Ning,et al. Power system electro-mechanical dynamic simulation considering thermal power OPC protection model[J]. Power System Protection and Control,2017,45(4):145-149.
[2]冯庆东.分布式发电及微网相关问题研究[J].电测与仪表,2013,50(2):54-59.Feng Qingdong. A review of the state of the art of distributed generation and micro grid[J]. Electrical Measurement&Instrumentation,2013,50(2):54-59.
[3]孙宏斌,郭庆来,潘昭光.能源互联网:理念、架构与前沿展望[J].电力系统自动化,2015,39(19):1-8.Sun Hongbin,Guo Qinglai,Pan Zhaoguang. Energy internet:concept,architecture and frontier outlook[J]. Automation of Electric Power Systems,2015,39(19):1-8.
[4]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.Zeng Ming,Yang Yongqi,Liu Dunnan,et al.“Generation-grid-loadstorage”coordinative optimal operation mode of energy internet and key technologies[J]. Power System Technology,2016,40(1):114-124.
[5]樊飞龙,邰能灵,郑晓冬,等.基于前推回代优化算法的社区能源网络有功实时调配策略[J].中国电机工程学报,2017,37(14):4098-4108.Fan Feilong,Tai Nengling,Zheng Xiaodong,et al. Real-time deployment strategy of the active power in community energy networks based on back/forward optimization algorithm[J]. 2017,Proceedings of the CSEE,37(14):4098-4108.
[6]程启明,陈根,程尹曼,等.一种微网结构的能量管理策略仿真研究[J].中国电力,2016,49(7):128-134.Cheng Qiming,Chen Gen,Cheng Yinman,et al. The simulative research on energy management strategy for microgrid structure[J]. Electric Power,2016,49(7):128-134.
[7]杨晓东,陈宇,张有兵,等.考虑交互功率与可再生能源功率波动的微电网调度优化模型[J].电力系统保护与控制,2016,44(23):30-38.Yang Xiaodong,Chen Yu,Zhang Youbing,et al. Scheduling optimization model for microgrid considering interactive power and renewable energy output fluctuation[J]. Power System Protection and Control,2016,44(23):30-38.
[8]李洋,刘海涛,吴鸣,等.微电网能量管理系统开发与应用[J].华东电力,2013,41(5):1071-1074.Li Yang,Liu Haitao,Wu Ming,et al. Development and Application of Microgrid Energy Management System[J]. East China Electric Power,2013,41(5):1071-1074.
[9]杨阳,蔡旭.基于RTDS风光储微网协调控制仿真研究[J].可再生能源,2014,32(2):158-162.Yang Yang,Cai Xu. Coordination control simulation of wind/PV/storage power generation system based on RTDS[J]. Renewable Energy Resources,2014,32(2):158-162.
[10]于力,许爱东,郭晓斌,等.基于RTDS的有源配电网暂态实时仿真与分析[J].电力系统及其自动化学报,2015,27(4):18-25.Yu Li,Xu Aidong,Guo Xiaobin,et al. Real-time transient simulation and analysis of active distribution network based on RTDS[J]. Proceedings of the CSU-EPSA,2015,27(4):18-25.
[11]王琛,孟建辉,王毅,等.含多种分布式电源的直流微电网硬件在环仿真系统设计与实现[J].电力系统保护与控制,2018,46(9):146-154.Wang Chen,Meng Jianhui,Wang Yi,et al. Design and implementation of hardware in-the-loop simulation system for DC microgrid with multiple DG units[J]. Power System Protection and Control,2018,46(9):146-154.
[12]许志荣,杨苹,黄梓健,等.基于多进程的多微网分层控制仿真平台[J].电网技术,2018,42(2):472-478.Xu Zhirong,Yang Ping,Huang Zijian. Hierarchical Multi-Microgrid Control Simulation Platform Based on Multi-Process[J]. Power System Technology,2018,42(2):472-478.
[13]尤毅,刘东,钟清,等.多时间尺度下基于主动配电网的分布式电源协调控制[J].电力系统自动化,2014,38(9):192-198.You Yi,Liu Dong,Zhong Qing,et al. Multi-time Scale Coordinated Control of Distributed Generators Based on Active Distribution Network[J]. Automation of Electric Power Systems,2014,38(9):192-198.
[14]杨新法,苏剑,吕志鹏,等.微电网技术综述[J].中国电机工程学报,2014,34(1):57-70.Yang Xinfa,Su Jian,Lv Zhipeng,et al. Overview on Microgrid Technology[J]. Proceedings of the CSEE,2014,34(1):57-70.
[15]鲁宗相,王彩霞,闵勇,等.微电网研究综述[J].电力系统自动化,2007,31(19):100-107.Lu Zongxiang,Wang Caixia,Min Yong,et al. Overview on microgrid research[J]. Automation of Electric Power Systems,2007,31(19):100-107.
[16]夏德明,侯凯元,安宁,等.计及火电机组OPC保护模型的电力系统机电动态仿真分析[J].电力系统保护与控制,2017,45(4):145-149.Xia Deming,Hou Kaiyuan,An Ning,et al. Power system electro-mechanical dynamic simulation considering thermal power OPC protection model[J]. Power System Protection and Control,2017,45(4):145-149.