[1]陈世明,马斐,高彦丽.受成本约束的电力信息?物理相依系统鲁棒性优化设计[J].智能系统学报,2020,15(3):623-632.[doi:10.11992/tis.201812034]
 CHEN Shiming,MA Fei,GAO Yanli.Robust optimization design of an electrical cyber-physical system based on constrained cost[J].CAAI Transactions on Intelligent Systems,2020,15(3):623-632.[doi:10.11992/tis.201812034]
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受成本约束的电力信息?物理相依系统鲁棒性优化设计(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第15卷
期数:
2020年3期
页码:
623-632
栏目:
政策解读
出版日期:
2020-05-05

文章信息/Info

Title:
Robust optimization design of an electrical cyber-physical system based on constrained cost
作者:
陈世明 马斐 高彦丽
华东交通大学 电气与自动化工程学院,江西 南昌 330013
Author(s):
CHEN Shiming MA Fei GAO Yanli
School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
关键词:
复杂网络理论电力信息-物理系统相互依存网络节点配置优化电力负荷优化鲁棒性成本约束
Keywords:
complex network theoryelectrical cyber-physical systeminterdependent networknode configuration optimizationpower-load optimizationrobustnessconstraints cost
分类号:
TM73
DOI:
10.11992/tis.201812034
摘要:
针对复杂网络视角,考虑到电力网络存在扩建等现实问题,研究受成本约束下如何增设站点从而优化负荷分布、改善系统的鲁棒性。基于华中地区某省电力网的拓扑结构数据,构建了电力网与信息网部分一一对应的相依网络模型,并采用非线性负载?容量模型作为系统的级联失效模型。考虑实际电力网中超前规划新增厂站的现实情况,提出4种可能的增设电力节点及其信息设备对应的节点配置优化策略,并对华中某省电力网及IEEE 118 总线的电力信息?物理系统在4种节点配置策略下的电力负荷优化及系统鲁棒性进行仿真及分析。仿真结果表明:以配置的物理节点连接网络中大电力负荷及小电力负荷节点为基准时,仅需配置较少的节点就能达到既定的优化度。本结论对于电力系统在建设与规划过程中将有限资源进行较优分配具有一定的指导意义。
Abstract:
In view of the complexity of networks and considering the practical problems, such as power network expansion, encountered by networks, this study proposes procedures on how to set up additional stations to optimize load distribution and improve the robustness of a power system under cost constraints. First, the topological structure data of a province in the Central China power grid is used to build a sectional one-to-one coupled interdependent network model of power grid and cyber network. Then, the nonlinear load–volume model is used as the cascading failure model of the system. Given the actual situation of planning the installation of new substations in the power grid, four possible node addition strategies for the newly added power node and its cyber equipment are proposed. Moreover, simulation and analysis of the power cyber-physical system of a province in the Central China power grid and the IEEE 118 Bus System were conducted on the basis of the four strategies in terms of network robustness and power–load optimization. The simulation results show that, when taking the new node connected to the maximum and minimum power–load nodes in the existing network as the reference, the required robust optimization can be achieved with only a few configured nodes. The test results have certain guiding significance for the optimal allocation of limited resources in the construction and planning of a power system.

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备注/Memo

备注/Memo:
收稿日期:2018-12-29。
基金项目:国家自然科学基金项目(11662002)
作者简介:陈世明,教授,博士生导师,中国自动化学会青年工作委员会委员、中国系统仿真学会智能物联系统建模与仿真专业委员会委员,主要研究方向为复杂网络理论及应用、群体动力学与协调控制、多机器人系统。主持国家自然科学基金项目4项。发表学术 论文80余篇。;马斐,硕士研究生,主要研究方向为复杂网络理论及应用;高彦丽,副教授,硕士生导师,主要研究方向为复杂网络理论及应用、ECT检测、自动化仪器仪表。主持国家自然科学基金项目2项。发表学术论文10余篇。
通讯作者:陈世明.E-mail:shmchen@ecjtu.jx.cn
更新日期/Last Update: 1900-01-01