Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing Linkage for Power Internet of Things

The automatic collection of power grid situation information, along with real-time multimedia interaction between the front and back ends during the accident handling process, has generated a massive amount of power grid data. While wireless communication offers a convenient channel for grid terminal access and data transmission, it is important to note that the bandwidth of wireless communication is limited. Additionally, the broadcast nature of wireless transmission raises concerns about the potential for unauthorized eavesdropping during data transmission. To address these challenges and achieve reliable, secure, and real-time transmission of power grid data, an intelligent security transmission strategy with sensor-transmission-computing linkage is proposed in this paper. The primary objective of this strategy is to maximize the confidentiality capacity of the system. To tackle this, an optimization problem is formulated, taking into consideration interruption probability and interception probability as constraints. To efficiently solve this optimization problem, a low-complexity algorithm rooted in deep reinforcement learning is designed, which aims to derive a suboptimal solution for the problem at hand. Ultimately, through simulation results, the validity of the proposed strategy in guaranteed communication security, stability, and timeliness is substantiated. The results confirm that the proposed intelligent security transmission strategy significantly contributes to the safeguarding of communication integrity, system stability, and timely data delivery.

Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic development.With the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application layer.However,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security protection.To address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal parts.It further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the coupling of synchronization latency jitter and pulse phase difference.In this paper,the multi-timescale MTS model is conducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase difference.Specifically,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small timescale.Simulation shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

Architecture design and demand analysis on application layer of standard system for ubiquitous power Internet of Things

The ubiquitous power Internet of Things(UPIoT)is an intelligent service system with comprehensive state perception,efficient processing,and flexible application of information.It focuses on each link of the power system and makes full use of the mobile internet,artificial intelligence,and other advanced information and communication technologies in order to realize the inter-human interaction of all things in all links of the power system.This article systematically presents to the national and international organizations and agencies in charge of UPIoT layer standardization the status quo of the research on the Internet of Things(IoT)-related industry standards system.It briefly describes the generic standard classification methods,layered architecture,conceptual model,and system tables in the UPIoT application layer.Based on the principles of inheritance,innovation,and practicability,this study divides the application layer into customer service,power grid operation,integrated energy,and enterprise operation,emerging business and analyzes the standard requirements of these five fields.This study also proposes a standard plan.Finally,it summarizes the research report and provides suggestions for a follow-up work.

Progress and prospects of innovative coal-fired power plants within the energy internet

The development of electrical engineering and electronic, communications, smart power grid, and ultra-high voltage transmission technologies have driven the energy system revolution to the next generation: the energy internet. Progressive penetration of intermittent renewable energy sources into the energy system has led to unprecedented challenges to the currently wide use of coal-fired power generation technologies. Here, the applications and prospects of advanced coal-fired power generation technologies are analyzed. These technologies can be summarized into three categories:(1) large-scale and higher parameters coal-fired power generation technologies, including 620/650/700 oC ultra-supercritical thermal power and double reheat ultra-supercritical coal-fired power generation technologies;(2) system innovation and specific, highefficiency thermal cycles, which consist of renewable energy-aided coal-fired power generation technologies, a supercritical CO_2 Brayton cycle for coal-fired power plants, large-scale air-cooling coal-fired power plant technologies, and innovative layouts for waste heat utilization and enhanced energy cascade utilization;(3) coal-fired power generation combined with poly-generation technologies, which are represented by integrated gasification combined cycle(IGCC) and integrated gasification fuel cell(IGFC) technologies. Concerning the existing coal-fired power units, which are responsible for peak shaving, possible strategies for enhancing flexibility and operational stability are discussed. Furthermore, future trends for coal-fired power plants coupled with cyber-physical system(CPS) technologies are introduced. The development of advanced, coal-fired power generation technologies demonstrates the progress of science and is suitable for the sustainable development of human society.

Directed Acyclic Graph Blockchain for Secure Spectrum Sharing and Energy Trading in Power IoT

Peer-to-peer(P2P)spectrum sharing and energy trading are promising solutions to locally satisfy spectrum and energy demands in power Internet of Things(IoT).However,implementation of largescale P2P spectrum sharing and energy trading confronts security and privacy challenges.In this paper,we exploit consortium blockchain and Directed Acyclic Graph(DAG)to propose a new secure and distributed spectrum sharing and energy trading framework in power IoT,named spectrum-energy chain,where a set of local aggregators(LAGs)cooperatively confirm the identity of the power devices by utilizing consortium blockchain,so as to form a main chain.Then,the local power devices verify spectrum and energy micro-transactions simultaneously but asynchronously to form local spectrum tangle and local energy tangle,respectively.Moreover,an iterative double auction based micro transactions scheme is designed to solve the spectrum and energy pricing and the amount of shared spectrum and energy among power devices.Security analysis and numerical results illustrate that the developed spectrum-energy chain and the designed iterative double auction based microtransactions scheme are secure and efficient for spectrum sharing and energy trading in power IoT.

用Power Builder建立基于Plugins方式的Internet应用

主要讨论用PowerBuilder6.x/7.x实现Internet应用的原理和方法 ,并以基于Plugins(插入件)的方式为例 ,说明了开发一个Internet应用的过程。

电能路由器电气安全风险解析与关键试验研究

电能路由器是未来能源互联网的核心装备,但尚无对于其电气安全方面的测试标准。本文对于电能路由器风险源可能存在的情况进行了详尽的分类解析;重点针对电气安全列出了安全检测项目和指标,给出了电能路由器的测试系统,并根据应用场景制订了测试工况。

互联网背景下电力电子技术教学创新之路研究

互联网背景下,电力电子技术教学呈现出了智能化、多元化和多媒体化。首先,根据实际情况分析可得,电力电子技术的教学创新应进一步贴合课堂服务,进一步抓好情境服务,进一步应用新资源,完善新技术服务课堂、新情境服务教学和新资源服务发展。其次,通过创新化、制度化和效益化逐步解决学校教育教学模式中所存在的一些不足和问题。教学方面存在的问题包括教学观念的滞后、人才建设的落后和软硬件的落后。最后,希望通过以下方法的改进能更好地为课程服务,即多元化教学管理,塑品牌形象;多面化队伍建设,强教学质效;多方位软硬件提升,增教学内涵等方法的改进能更好的为课程服务,不断增强学生群体对电力电子实践的理解和操作能力,更好地培养满足社会和企业要求的复合型人才。

影响大学生思想政治教育网络话语权的因素分析

普及的网络已经成为新形势下高校思想政治教育的重要场域,要切实加强大学生思想政治工作,就得充分利用好网络,发挥出网络思政重要作用,传播马克思主义科学理论,弘扬中国特色社会主义建设的主旋律,打赢思想政治教育网络话语权主动仗,引导大学生牢固树立社会主义核心价值观。高校要因势而谋,梳理网络话语权的发展,阐释网络话语权的内涵和意义,分析影响大学生思想政治教育网络话语权的因素,统筹联动相互促进,引领网络意识形态发展的正确方向。

高校思政教育网络话语权的构建研究

大学生的学习生活与网络密不可分,历经多年逐渐成为各种社会思潮和利益诉求的集散地,构建高校思想政治教育网络话语权是建设网络文化工作体系的需要,是发挥网络思政育人功能的需要。党和政府意识到提升高校思想政治教育网络话语权重要意义,构建高校思想政治教育网络话语权迫在眉睫。借助蒂姆·乔丹的网络权力理论,分析大学生思想政治教育网络话语权四个构建要素,需要从提高话语能力、改进话语方式、创新话语内容方面构建高校思想政治教育网络话语权。

一种基于NB-IoT的智能井盖监测系统设计

针对城市井盖保有量大、安全事故频发、人工巡检困难、管理组织混乱等问题,提出一种基于窄带物联网(NB-IoT)技术的窨井盖自动监测系统。该系统以STM32作为主控模块,包含倾角、水位等传感器,实现对井盖状态以及井内重点数据的采集,配合云端服务器和客户端完成井盖数据远程可视化显示。结果表明,所提系统可以实现故障井盖自动报警、精确定位,降低人工巡检的难度,让城市井盖管理更加智能化,让故障检修更加便捷化,提高城市管理的智能化水平。

改进PBFT算法的配电物联网接入认证方法

随着物联网与配电网深度融合,海量终端设备接入系统给配电物联网安全稳定运行带来巨大挑战。针对传统身份认证方式过于中心化且无法承载大规模终端等现状,设计一种基于区块链共识机制的配电物联网终端接入认证方法。由配电物联网网关负责对待接入终端节点登记注册,采用共识算法进行分布式认证,将合法终端上链存储。在传统PBFT算法的基础上,设计了配电物联网终端共识算法。该算法引入权重机制,根据终端节点权重选取认证节点,缩小共识规模;引入可验证随机函数增强主节点安全,避免启动视图切换协议,提高共识效率;结合实际应用场景优化一致性协议,降低通信开销。实验分析表明该方法可有效规避多种网络攻击,通信开销和吞吐量优于其他方法,系统抗攻击性较强,满足配电物联网对认证效率和系统可靠性等要求。

认知物联网中继传感节点最小功耗布置方法研究

物联网数据传输过程中,中继传感节点能量不足或者能量消耗过多将导致部分节点失效,降低物联网的使用寿命。为解决这一问题,提出认知物联网中继传感节点最小功耗布置方法。根据中继节点结构特征、有向加权图,建立数据传输功耗的数学模型;以最小功耗布置为目的,制定数据流向、通信容量、数据最大传输次数的约束条件,阻止中继节点逆向传输,使节点满足通信容量范围的同时,避免出现逐条传输数据的事件;引入贪婪算法布置中继传感节点,实现中继传感节点最小功耗布置。仿真结果表明,所提方法的中继传感节点布置最大功耗为17.58 J;在传感节点分布密度为370个/m^(3)时,中继节点布置数量为126个;在11.9 s内即可完成150个中继节点的布置。

基于边缘计算的智慧物联网农业病虫识别系统设计与实现

【目的】传统云计算存在实时性不够、带宽不足、能耗较大、不利于数据安全与隐私等问题,应用边缘计算能有效解决上述问题。【方法】通过基于边缘计算的智慧物联网农业病虫识别系统的开发与应用,测试目标应用的数字化、集成化、信息化、可视化和智能化,减少云计算的计算压力。【结果】智慧物联网农业病虫识别系统能实现节点或网关离线后自动重新登录的功能、系统数据采集与上报功能、服务器数据显示功能,从而减轻云计算中心的计算负担。【结论】研究结果将为使用边缘计算的系统提供有力的支撑,能保证整个系统的智能性、可靠性、安全性和经济性,并提高了计算能力和社会生产效率,为大规模推广边缘计算奠定了基础。

总体国家安全观视阈下的网络文化安全治理论析

针对国家安全面临的前所未有的新复杂形势,以习近平同志为核心的党中央提出了总体国家安全观的重要战略思想。作为治国理政新思路的重要组成部分,总体国家安全观境界开阔、高瞻远瞩、内涵深邃、涉及面广,涵盖了政治安全、国土安全、信息安全、社会安全、文化安全等多个领域。从总体国家安全观的视域出发,对网络文化安全治理进行论析,探讨其价值意蕴、现状成效和实践径路,试图为互联网迅速发展给网络文化安全带来新挑战的当下提出一些实用的对策和建议,以期更好地建设一个繁荣、安全、秩序井然的新时代网络文化场域。

卫星互联网赋能新型电力系统创新应用

卫星互联网是通过卫星规模化组网,以航天、通信、网络、数据等技术为支撑的全球全域全时新型网络信息基础设施。与传统卫星网络相比,具有广覆盖、低时延、高带宽、低成本等优势。通过剖析新型电力系统在广域覆盖、抗毁顽存、垂直应用等信息化能力建设方面的挑战,凝练高中低轨协同的卫星互联网内涵定义与能力特征,提出卫星互联网在电力规划、态势感知、巡视检修、防灾应急等业务领域赋能新型电力系统的实践路径。提出基于零信任的星地融合网络信息安全体系,为建设、运行及发展空天地全面一体、通导遥深度融合的新型电力系统提供基础参考,进一步提升新质生产力水平。

Internet鲁棒性与HOT模型初探

文中从Internet拓扑结构的Power Law分布特性出发,根据当前复杂网络的研究成果,分别从随机扰动和恶意攻击两方面探讨了Internet复杂系统的鲁棒性。随后从高优化容忍模型(HOT模型)入手,初步探讨了Internet鲁棒性背后的动力学机理,有助于进一步对Internet安全问题的复杂系统特性进行研究,同时也为解释其他人工设计的复杂系统的特性提供了一定的参考。

基于Internet/Intranet的电力市场技术支持系统

电力市场技术支持系统的建设 ,必须既能保证电力市场的公平、公正和公开竞争 ,也能促进电力系统的安全、稳定和经济的运行。文中根据电力市场运营普遍规律 ,提出了基于 Internet/Intranet的电力市场技术支持系统体系结构 ,为市场报价、交易、结算、合同管理及信息发布等提供了更先进的技术手段。同时还对该系统中需解决的一些关键性技术 ,如动态图表显示、分布式应用和分布式数据库设计规划、系统应用级的集群和数据通信服务的管理、网络传输的安全性等做了详细介绍。

一种基于Internet技术的校园电力节能监控系统研究

为促进校园的节能管理工作,研制了一种基于Internet技术的校园电力节能监控系统,设计了该监控系统的各个组成部分,此系统可实现实时计量、分项计量、分级管理、自动监控等功能。该校园电力节能监控系统经在广东某高职院校安装应用的实践证明其能够增强校园的节能管理和考核工作,培养大家的节能意识,节能效益明显,值得进一步推广。