基于人工智能的智慧微电网能效管理研究

在现代能源管理领域中,智慧微电网作为提高能源利用效率和可持续性的关键技术,正日益受到关注。智慧微电网是一种集成可再生能源、能量存储和高效能源管理系统的网络,它能够在本地优化能源的生产、分配和消耗。近年来,人工智能技术的发展为微电网的能效管理提供了新的动力和可能性。本文详细探讨了基于人工智能的智慧微电网能效管理的各个方面,包括优化能源分配策略、实时能耗监控与调整、需求响应管理以及故障预测与自愈机制,并通过一系列技术应用测试来验证所提出方法的有效性和实用性。

基于层次分析法的电网能效影响因子分析研究

本文提出了基于层次分析法的电网能效影响因子分析方法,建立了整套分析流程,并结合典型配电网能效模型对各影响因子的影响权重进行了实例定量运算。案例计算表明,层次分析法合理简化了电网能效影响因子分析过程,且得出了处于方案层的各影响因子的权重数据:技术改造62.95%,规划设计33.22%,管理改造3.823%。

基于物联网的电网能效分析管理技术

目前电网系统正在发展成为容量巨大、运行复杂、高能耗的大规模供电系统,电网中存在线损率较高的问题,造成了电网电能能效偏低。针对这一问题,构建用于电能能效分析管理的物联网系统,设计遗传算法对采集到的系统电能能效信息进行优化。首先,分别建立电能能效管理分析系统的感知层、网络层和应用层,组建物联网架构,其次分析影响电能能效的关键因素及其与物联网之间的关系,再对通过物联网采集到的电网能效数据信息,设计遗传算法进行优化。最终,应用MATLAB仿真软件,对基于物联网的电能能效分析管理系统进行仿真分析。仿真结果表明,电网系统的线损率降低了48%,该技术可较好提高电能系统的电能使用效率。

配电网能效管理及互动节电管理系统通信方式研究

配电网能效管理及互动节电管理系统是当前智能电网建设的重点,本文依据中国智能电网建设实际,提出适合中国国情的智能用电体系架构,它基于物联网和云计算关键支撑技术,应用于智能小区、智能楼宇和智能园区的典型实践。同时本文对其中的通信方式做了重点阐述,并且得出了适用于各个环节的通信方式的结论。

智能电网能效分析管理系统的设计

近年来,能源节约、环境气候已成为世界各国普遍关注的焦点,节能、提高能效和发展可再生能源也已成为世界各国能源发展基本战略之一。在能源日益短缺的情况下,各个国家都开展了一系列提高能效、节能降耗的措施。我国在智能电网发展方面与其他国家略有差别,更多的关注与智能输电网领域,因此,本文对智能电网能效分析管理系统的设计进行深入分析。

基于聚类分析的电网综合能效诊断模型及应用

针对电网综合能效的残差估计效果较差和诊断耗时较高的问题,基于聚类分析方法,进行电网综合能效诊断模型及应用研究。充分考虑电网特点,建立电网综合能效诊断指标体系,通过极值化无量纲归一化处理定量指标,获取所确定指标体系内各指标权重;依据灰色变权聚类方法确定各项指标权重确定变权重系数,明确与灰类同属的不同对象位次,根据位次排序结果诊断电网综合能效。实验结果表明,诊断精度高达99.5%以上,绝对误差、正误差以及负误差均较低,残差估计效果得到提高,在样本覆盖范围较大的情况下诊断耗时低于50ms。

Energy Efficiency Optimization in Relay-Assisted Networks with Energy Harvesting Relay Constraints

In this paper we consider data transmission in a decode-and-forward(DF)relay-assisted network in which the relay is energy harvesting(EH) powered while the base station(BS) is power-grid powered.Our purpose is to maximize the BS's energy efficiency(EE) while making full use of the relay's renewable energy and satisfying the specific average throughput requirements.In contrast to existing literature on energy harvesting system which only considers the radio transmission power,we take the static circuit power into account as well.We formulate the EE optimization problem and prove that the EE of the BS and relay are both quasiconvex in the instantaneous transmission rate.Then we divide the complex optimization problem into two point-to-point link level optimization parts and propose an energyefficient resource allocation(EERA) scheme in which power control and sleep mode management are jointly used.The simulation results demonstrate that EERA may achieve good energy saving effects.We also compare the EE of an energy harvesting relay system with a power-grid powered one and provide more insight into the EE problem of energy harvesting relay system.

Energy Efficient Power Allocation for Relay-Aided D2D Communications in 5G Networks

As one of the key technologies for the fifth generation(5G) wireless networks,device-to-device(D2D) communications allow user equipment(UE) in close proximity to communicate with each other directly.Forwarded by a relay,the relay-aided D2D(RA-D2D) communications can not only be applied to communications in much longer distance but also achieve a high quality of service(Qo S) .In this paper,we first propose a two-layer system model allowing RA-D2 D links to underlay traditional cellular uplinks.Then we maximize the energy efficiency of the RA-D2 D link while satisfying the minimum data-rate of the cellular link.The optimal transmit power at both D2 D transmitter and D2 D relay sides is obtained by transforming the nonlinear fractional programming into a nonlinear parameter programming.Simulation results show that our proposed power allocation method is more energy efficient than the existing works,and the proposed RA-D2 D scheme outperformed direct D2 D scheme when the distance between two D2 D users is longer.

Analysis on Conditions of Northwest,North China and Shandong Power Grids Interconnection

This paper analyzes the possibility and benefits of interconnection of Northwest Power Grid with North China and Shangdong power grids. With different energy resources and power demand patterns, these three power grids have large potential benefits in future interconnection.

Reliability-aware mapping and links voltage assignment for energy-efficient networks-on-chip

As feature sizes shrink,low energy consumption,high reliability and high performance become key objectives of network-on-chip(NoC) design.In this paper,an integrated approach is presented to map IP cores onto NoC architecture and assign voltage levels for each link,such that the communication energy is minimized under constraints of bandwidth and reliability.The design space is explored using tabu search.In order to select optimal voltage level for the links,an energy-efficiency driven heuristic algorithm is proposed to perform energy/reliability trade-off by exploiting communication slack.Experimental results show that the ordinary energy optimization techniques ignoring the influence of voltage on fault rates could lead to drastically decreased communication reliability of NoCs,and the proposed approach can produce reliable and energy-efficient implementations.

基于优化专家评价法的三阶段DEA电网指标分析方法

数据包络分析(DEA)方法是分析电网企业指标效率的一种常规方法,在进行DEA效率分析之前,需要确定各类指标数据,由传统专家评价法直接指定的投入产出及环境变量主观性较大,其选取数据全面性不够,提出结合因子降维和K均值聚类的优化专家评价法来构建指标选择体系。首先将指标数据进行去奇异值和标准化处理,引入因子分析选择出具有代表性的主成分指标数据并进行聚类分析,结合专家评价法判断聚类结果的合理性,将结果进行三阶段DEA电网效率值分析,得出最终效率值,并指导电网能效规划建设。实例中以江苏省电网指标数据为样本进行分析,验证了该方法在电网能效评价指标体系中的适用性与合理性。

Efficient perovskite solar cells based on novel three-dimensional TiO2 network architectures

Mesoscopic lead halide perovskite solar cells typically use TiO2 nanoparticle films as the scaffolds for electron-transport pathway and perovskite deposition. Here, we demonstrate that swelling-induced mesoporous block copolymers can be templates for producing three- dimensional TiO2 networks by combining the atomic layer deposition technique. Thickness adjustable TiO2 network is an excellent alternative scaffold material for efficient per- ovskite solar cells. Our best performing cells using such a 270 nm thick template have achieved a high efficiency of 12.5 % with pristine poly-3-hexylthiophene as a hole transport material. The high performance is attributed to the direct transport pathway and high absorption of scaf- folds, small leakage current and largely reduced recombi- nation rate at interfaces. The results show that TiO2 network architecture is a promising scaffold for meso- scopic perovskite solar cells.