当前位置:主页 > 科技论文 > 电气论文 >

基于大数据和多代理的含IBDGs主动配电网故障自愈系统研究

发布时间:2018-07-27 20:10
【摘要】:随着电力系统的发展,分布式能源越来越多的嵌入到电网中,IBDGs(Inverter-Based Distributed Generators)的高渗透率,使得配电系统已成为一个非常复杂的网络。传统的配电网无法有效的管理IBDGs,这使得IBDGs的利用率很低。CIGRE C6.11工作组提出的主动配电网可通过高度自动化电气设备及先进的通信技术将IBDGs与大型配电网紧密关联,其有很强的对IBDGs接入和控制能力,并可以极大地提高IBDGs利用率。配电网故障越来越多的发生在电力系统中,显著降低了电力系统的稳定性及电能质量。为了降低电力故障对电力系统的影响,有效控制IBDGs并提高IBDGs利用率,本文着重研究了含IBDGs主动配电网故障自愈。本文主要研究工作如下:1、为了有效管理IBDGs,本文中逆变器的控制策略采用的是下垂控制。为了弥补其不足,本文提出将相角下垂控制与下垂控制融合在一起,实现了IBDGs并网运行和孤岛两种运行模式的平滑无缝切换。2、含IBDGs主动配电网运行期间,会产生大量成分复杂且多态的数据。传统的数据处理技术已不能满足需求,本文提出用大数据处理方法来处理含IBDGs主动配电网运行期间产生的数据。仿真结果表明,这一数据处理方法有着非常好的效果。3、针对含IBDGs主动配电网可能出现的三相接地故障,传统的故障自愈方法无法快速、有效地恢复尽可能多的失电负荷。基于此,本文提出将先进的智能代理技术用于含IBDGs主动配电网故障自愈中。4、为解决MAS(Multi-agent System)与IEC 61850的兼容问题,本文将IEC 61850信息模型映射到代理通信语言ACL上。通过将IEC 61850信息模型作为代理间信息交互的统一模型以实现不同智能电子设备之间的通信,代理之间的信息交互用ACL语言。本文提出的基于MAS的含IBDGs主动配电网故障自愈功能模型,能够非常灵活、非常迅速、非常可靠地制定供电恢复方案,其降低了故障自愈所需时间,增强了系统的安全性、可靠性,提高了系统的电能质量,避免了IBDGs不必要的功率削减。5、本文提出利用MACSimJX这个中间件来实现MATLAB/Simulink平台与JADE平台这两个平台之间的通信,通信仿真结果证明了这种通信机制的可行性和准确性。然后分别在MATLAB/Simulink搭建了含IBDGs主动配电网故障自愈仿真模型和在JADE中构建了MAS。通过使用MATLAB/Simulink仿真模型中仿真的数据,利用Relays的功能实现了故障定位、识别及隔离,仿真结果表明Relays具备很高的故障分类精度。通过MAS制定故障恢复方案,最终在MATLAB/Simulink仿真模型中实现了含IBDGs主动配电网故障自愈。实验结果表明,本文提出的含IBDGs主动配电网故障自愈系统具备很好的可靠性及稳定性。
[Abstract]:With the development of power system, more and more distributed energy is embedded in the power network, which makes the distribution system become a very complex network. The traditional distribution network can not manage IBDGs effectively, which makes the IBDGs utilization rate very low. CIGRE C6.11 working group put forward the active distribution network, which can connect IBDGs closely with large distribution network through highly automated electrical equipment and advanced communication technology. It has a strong ability to access and control IBDGs, and can greatly improve the utilization of IBDGs. Distribution network faults occur more and more in the power system, which significantly reduces the stability and power quality of the power system. In order to reduce the influence of power failure on power system, effectively control IBDGs and improve the utilization rate of IBDGs, this paper focuses on the self-healing of active distribution network with IBDGs. The main work of this paper is as follows: 1: 1. In order to manage IBDGs effectively, the droop control strategy is adopted in this paper. In order to make up for its deficiency, this paper proposes to combine the phase angle droop control and droop control together to realize smooth seamless switching between IBDGs grid-connected operation mode and island-isolated operation mode, including the IBDGs active distribution network operation period. A large number of complex and polymorphic data are generated. The traditional data processing technology can not meet the demand. In this paper, the big data processing method is proposed to deal with the data generated during the operation of the active distribution network with IBDGs. The simulation results show that this data processing method has a very good effect. For three-phase grounding faults that may occur in active distribution network with IBDGs, the traditional fault self-healing method can not quickly and effectively recover as much power loss as possible. In order to solve the compatibility problem between MAS (Multi-agent System) and IEC 61850, the IEC 61850 information model is mapped to the agent communication language ACL in order to solve the compatibility problem of MAS (Multi-agent System) and IEC 61850. The IEC 61850 information model is used as the unified model of information exchange among agents to realize the communication between different intelligent electronic devices. The information exchange among agents is based on ACL language. The fault self-healing function model of active distribution network with IBDGs based on MAS is presented in this paper. It can make the power supply recovery scheme very flexible, very fast and very reliable. It reduces the time required for fault self-healing and enhances the security of the system. Reliability improves the power quality of the system and avoids unnecessary power reduction of IBDGs. This paper proposes using MACSimJX middleware to realize the communication between MATLAB/Simulink platform and JADE platform. The simulation results show the feasibility and accuracy of the communication mechanism. Then the fault self-healing simulation model of active distribution network with IBDGs is built in MATLAB/Simulink and the masse is constructed in JADE. By using the simulation data of MATLAB/Simulink simulation model and the function of Relays, the fault location, identification and isolation are realized. The simulation results show that Relays has high fault classification accuracy. The fault recovery scheme is established by MAS, and the fault self-healing of active distribution network with IBDGs is realized in the simulation model of MATLAB/Simulink. The experimental results show that the fault self-healing system with IBDGs in active distribution network has good reliability and stability.
【学位授予单位】:湘潭大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM732;TM76

【参考文献】

相关期刊论文 前10条

1 曲燕燕;蒋玲芳;林烽;;论大数据技术在智能电网中的应用[J];中国新技术新产品;2016年22期

2 孙鸿飞;弓丽栋;张海涛;武慧娟;;智能电网大数据分析框架及其应用演进研究[J];现代电力;2016年06期

3 杨通国;;智能电网大数据技术的发展策略分析及研究[J];科技展望;2016年14期

4 张野;郭力;;基于下垂控制的微网无缝切换控制策略研究[J];广东电力;2016年04期

5 米阳;夏洪亮;符杨;王成山;;基于鲁棒下垂控制策略的微网平滑切换[J];电网技术;2016年08期

6 陈淘;刘利兵;;大数据技术在智能电网中应用[J];物联网技术;2016年04期

7 聂志强;梁晖;罗浩;金渊;;基于非线性下垂控制的单模式微网并/离网无缝切换技术[J];电网技术;2016年05期

8 王全强;刘敏;成立;;智能电网电力大数据技术研究[J];电子技术与软件工程;2016年01期

9 孟祥君;季知祥;杨yN;;智能电网大数据平台及其关键技术研究[J];供用电;2015年08期

10 朱朝阳;王继业;邓春宇;;电力大数据平台研究与设计[J];电力信息与通信技术;2015年06期

相关硕士学位论文 前10条

1 贺智勇;基于微电网的逆变器控制策略研究[D];内蒙古科技大学;2015年

2 刘丹丹;基于多代理技术的主动配电网故障自愈系统研究[D];湘潭大学;2015年

3 晋鹏娟;基于逆变器的微电网无缝切换控制策略研究[D];山西大学;2014年

4 谭成;基于定值追踪的智能电网保护诊断系统研究[D];湘潭大学;2014年

5 洪小雨;主动配电网故障恢复重构研究[D];北京交通大学;2014年

6 张宇飞;模拟电路多软故障特征的智能优化提取方法研究[D];哈尔滨理工大学;2014年

7 尚淑婷;微电网逆变器PV/QF下垂控制技术的研究[D];燕山大学;2013年

8 陈浩;配电网故障定位与故障恢复的研究[D];天津大学;2013年

9 竺琼;遗传算法在模拟电路故障诊断中的应用[D];南京航空航天大学;2012年

10 王波;基于多代理技术的配电网故障诊断、隔离与重构研究[D];华北电力大学(北京);2011年



本文编号:2149003

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/dianlidianqilunwen/2149003.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户e6fa6***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com