基于拓扑势均衡的配电网信息物理系统规划算法
发布时间：2018-10-12 07:08
【摘要】：配电网信息物理系统(cyber physical system for distribution networks,CPSDN)是自动化技术、信息技术和通信技术与电网的深度融合产物。其与传统通信系统规划的一个显著区别在于CPS系统内的网元异构性。基于数据场理论,建立了CPS广义节点质量模型,数学量化了节点差异,进而定义CPS势函数,以系统可靠性为测度建立配电网CPS规划问题的势均衡数学模型。对该规划问题,提出改进的二进制粒子群算法进行求解。采用IEEE LVNTS算例及实际电网算例计算,实验表明所建立模型和算法符合配电网CPS系统规划,所提出方法规划CPS网络,可准确辨识网络关键节点,建立高可靠性CPS网络拓扑,实现效能的提升。
[Abstract]:Distribution network information physical system (cyber physical system for distribution networks,CPSDN) is the product of deep integration of automation technology, information technology and communication technology and power grid. A significant difference from traditional communication system planning is the heterogeneity of network elements in CPS systems. Based on the data field theory, the CPS generalized node quality model is established. The node difference is quantified, and then the CPS potential function is defined. The potential equilibrium mathematical model of distribution network CPS planning problem is established with the system reliability as the measure. An improved binary particle swarm optimization algorithm is proposed to solve the problem. By using the IEEE LVNTS example and the actual network example, the experimental results show that the proposed model and algorithm accord with the distribution network CPS system planning. The proposed method can accurately identify the key nodes of the network and establish the high reliability CPS network topology. To realize the improvement of efficiency.
【作者单位】： 天津大学电气自动化与信息工程学院;
【基金】：国家高技术研究发展计划(863计划)(2015AA050202) 国家自然科学基金资助项目(61571324) 天津市自然科学基金资助重点项目(16JCZDJC30900) 国际科技合作专项项目资助(2013DFA11040)~~
【分类号】：TM715
本文编号：2265229
[Abstract]:Distribution network information physical system (cyber physical system for distribution networks,CPSDN) is the product of deep integration of automation technology, information technology and communication technology and power grid. A significant difference from traditional communication system planning is the heterogeneity of network elements in CPS systems. Based on the data field theory, the CPS generalized node quality model is established. The node difference is quantified, and then the CPS potential function is defined. The potential equilibrium mathematical model of distribution network CPS planning problem is established with the system reliability as the measure. An improved binary particle swarm optimization algorithm is proposed to solve the problem. By using the IEEE LVNTS example and the actual network example, the experimental results show that the proposed model and algorithm accord with the distribution network CPS system planning. The proposed method can accurately identify the key nodes of the network and establish the high reliability CPS network topology. To realize the improvement of efficiency.
【作者单位】： 天津大学电气自动化与信息工程学院;
【基金】：国家高技术研究发展计划(863计划)(2015AA050202) 国家自然科学基金资助项目(61571324) 天津市自然科学基金资助重点项目(16JCZDJC30900) 国际科技合作专项项目资助(2013DFA11040)~~
【分类号】：TM715
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，本文编号：2265229
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