基于需求响应的风电-抽水蓄能系统调度模型

针对大规模风电并网影响电网稳定运行的问题,基于日前用户侧电力负荷预测和实时电价预测,文中提出了一种电网吸纳风能的新模型。以最小化风电—抽水蓄能联合系统发电成本为目标,在目标求解过程中确定最佳自弹性系数和互弹性系数,运用基于实时电价的需求价格来弹性引导电力用户以实现负荷转移。考虑到用户侧电价弹性限制的约束,该方法采用遗传优化算法编程求解。仿真结果表明,需求侧资源主动参与优化调度可降低负荷峰谷差,利于系统稳定运行,并且可以减少发电成本,提高联合系统经济性。     

An Adaptive Smart Grid Management Scheme Based on the Coopetition Game Model

Recently, the idea of the smart grid has been gaining significant attention and has become a hot research topic. The purpose of this paper is to present a novel smart grid management scheme that uses game theory principles. In our proposed scheme, power appliances in the smart grid adaptively form groups according to the non‐cooperative hedonic game model. By exploiting multi‐appliance diversity, appliances in each group are dynamically scheduled in a cooperative manner. For efficient smart grid management, the proposed coopetition game approach is dynamic and flexible to adaptively respond to current system conditions. The main feature is to maximize the overall system performance while satisfying the requirements of individual appliances. Simulation results indicate that our proposed scheme achieves higher energy efficiency and better system performance than other existing schemes.     

Adaptive algorithm for optimal real‐time pricing in cognitive radio enabled smart grid network

Integration of multiple communication technologies in a smart grid (SG) enables employing cognitive radio (CR) technology for improving reliability and security with low latency by adaptively and effectively allocating spectral resources. The versatile features of the CR enable the smart meter to select either the unlicensed or the licensed band for transmitting data to the utility company, thus reducing communication outage. Demand response management is regarded as the control unit of the SG that balances the load by regulating the real‐time price that benefits both the utility company and consumers. In this study, joint allocation of the transmission power to the smart meter and consumer's demand is formulated as a two stage multi‐armed bandit game in which the players select their optimal strategies noncooperatively without having any prior information about the media. Furthermore, based on historical rewards of the player, a real‐time pricing adaptation method is proposed. The latter is validated through numerical results.     

基于移动代理的网络管理系统的响应时间分析

针对基于移动代理的网络管理系统的响应时间,提出了一个定量模型,从理论上详细分析了影响响应时间的主要因素,并就被管理的设备数,不同任务,与网络管理器的连接速率,设备之间的连接速率等对响应时间的影响进行了模拟实验.为了减小响应时间,提出并分析了访问固定数量设备的方法.结果表明,不同的任务对响应时间的影响较大,而与网络管理器连接的速率对响应时间的影响则较小,当访问一固定数量的设备时,会使相对应的响应时间最小.     

一种基于FAT文件系统的NAND Flash坏块处理方法

NAND Flash具有高存储密度和高存储速率的特点,在嵌入式系统领域得到了广泛应用.但其固有的擦除机制和存在有坏块这一致命弱点,成为其在应用中的主要障碍.本文提出了一种应用于FAT文件系统上的坏块处理方法,使用Flash上其他的空闲块或者空闲空间来代替坏块,并将坏块在FAT表中作出标记以后不作使用.这种方法彻底屏蔽了坏块对上层应用的影响,并对存储介质没有造成任何不良影响,从而很好地克服了上述障碍.工程项目中的应用证明了其较高的可靠性.     

基于Web的嵌入式网管方案的实现

分析了网络设备的嵌入式方案的先进性。对VxWorks提供的组件Wind Web server进行了剖析，并在此基础上给出了一个实现方案。     

电力负荷控制系统在需求侧管理中的应用探讨

在介绍电力负荷控制技术概念、分类及功能的基础上,分析了实施电力需求侧管理的意义、内容、手段,并对实际成效进行了说明,并对存在的不足及改进措施进行了阐述。     

基于多代理的电动汽车充电站能量管理系统

针对电动汽车用户对充电、调节电网负荷以及最大化充电站运营收益的要求问题,采用UML统一建模语言对电动汽车充电站能量管理系统进行建模,从能量调度角度对电动汽车充电过程进行整体功能分析与策略整合,同时电动汽车充电站能量管理系统基于多代理技术,将充电过程中的各方作为具有适应性的代理,各代理通过交互通讯优化自身决策,简化复杂系统的控制问题,再通过UML面向对象的开发流程建立了一个具有拓展性和综合性的模型框架,为下一步实现系统的软件工程、硬件配置奠定了基础。     

基于动环监控延伸开发的远程抄表及PUE能耗对标管理系统

针对不同基站、机房类型的PUE能耗情况进行监测、预警、对标管理、自动稽核、自定义输出报表等功能,实现了对基站、接入机房能耗进行实时监控、科学测算、准确量化、有效预警、过程高效、精细化管理的目的,并取得了良好的效果。     

基于RFID的供电企业安全工器具管理系统的设计

随着电力企业管辖安全工器具日益增多,安全工器具的有效管理是保障各类作业人员及施工安全的重要手段。RFID(Radio Frequency Identification)射频识别是一种非接触式的自动识别技术,识别工作无须人工干预,可识别高速运动物体并可同时识别多个标签,操作快捷方便。针对当前安全工器具管理存在的问题,设计了基于RFID的安全工器具管理系统。系统采用先进的RFID技术,采用B/S方式,实现对电力安全工器具库的智能管理,达到了节约人力成本,提高工作效率和工作精确度的目的。     

A Universal Power Management Strategy Based on Novel Sound-Driven Triboelectric Nanogenerator and Its Fully Self-Powered Wireless System Applications

With the development of the Internet of Things (IoT), the power supply to trillions of IoT nodes has become a serious challenge. It is of significant importance to propose a rational power management scheme for constructing fully self-powered systems using triboelectric nanogenerators (TENG). In this study, as inspired by an embroidery hoop, a new type of TENG without the Helmholtz resonant cavity is developed for collecting sound energy, which can generate the V_oc and I_sc up to 500 V and 124 µA, respectively at a resonance frequency of 170 Hz and sound pressure of 110 dB. Furthermore, the sound-driven TENG integrated with a specially designed power management circuit derived from the universal power management strategy (PMS) can successfully drive a commercial narrow band-IoT wireless node, which realizes periodic temperature and humidity data acquisition and transmission. With the same strategy, an electric switch and a temperature and humidity acquisition system based on Bluetooth technology can also be powered by a contact-separated TENG and a wind-driven TENG, demonstrating excellent versatility, adaptability, and universality of the PMS. This study provides a novel solution for the application of TENG in the field of low-frequency IoT in local and wide areas.