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Analysis K-means of Covid-19 cases in Bandar Lampung and South Lampung 楠榜市和南楠榜市新冠肺炎病例k均值分析
Pub Date : 2023-01-01 DOI: 10.1063/5.0119163
Media Cahyo Untoro, M. S. Wisnubroto, Yuni Nurdyanti, D. Farida, Vina Alvionita, Tamara Damayanti, Laila Noer Islami Hidayatullah, Febby Sartika
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引用次数: 0
Research on Control Method of Comfortable Lighting and Energy Saving Lighting 舒适照明与节能照明控制方法研究
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00025
Jing Guo, Yujie Zhang
In order to solve the complex illuminance modeling and calculation problem in indoor lighting environment, and improve the energy-saving effect of lighting optimization control algorithm. In this paper, a radial basis function neural network (RBFNN) illuminance model is proposed to simplify the calculation process of illuminance and the calculated illuminance value can provide data support for the optimization control calculation as the feedback link of optimization control. In this paper, a genetic simulated annealing algorithm is designed by combining genetic algorithm and simulated annealing algorithm to avoid the problem of traditional control algorithm falling into local optimal solution. Through the simulation verification of three lighting scenes with different personnel distribution, the traditional particle swarm optimization algorithm saves 46.00%, 38.00% and 37.11% energy respectively, while the genetic simulated annealing algorithm saves 47.22%, 46.67% and 41.78 energy respectively. It can be seen that the latter has a better energy-saving effect in the three scenes.
为了解决室内照明环境中复杂的照度建模与计算问题,提高照明优化控制算法的节能效果。本文提出了一种径向基函数神经网络(RBFNN)照度模型,简化了照度的计算过程,计算得到的照度值作为优化控制的反馈环节,可为优化控制计算提供数据支持。本文将遗传算法与模拟退火算法相结合,设计了一种遗传模拟退火算法,避免了传统控制算法陷入局部最优解的问题。通过对三种不同人员分布的照明场景的仿真验证,传统粒子群优化算法分别节能46.00%、38.00%和37.11%,而遗传模拟退火算法分别节能47.22%、46.67%和41.78%。可以看出,后者在三种场景中具有更好的节能效果。
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引用次数: 1
Application of Renewable Energy, Advanced Technology, and Energy Efficiency: A Fresh Insight from European Countries 可再生能源的应用、先进技术和能源效率:来自欧洲国家的新见解
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00027
Zhang Yu, S. Khan, Hafiz Muhammad Zia-ul-haq
This research investigates the impact of renewable energy, transportation services, advanced technology, and energy efficiency on the gross domestic product (GDP) in 24 European economies. Employing fixed effect panel analysis, it is found that GDP as a proxy of economic performance has a significant and positive association with renewable energy, transportation, advanced technologies, and energy efficiency. It is implied that renewable energy consumption and energy efficiency factors enhance resource utilization and reduce economic costs, which ultimately helps countries boost their economic performance. Moreover, it is also argued that efficient transportation and innovative technologies promote renewable energy usage and a green economy. Hence, these factors help countries to achieve economic goals and protect the environment.
本研究调查了24个欧洲经济体的可再生能源、运输服务、先进技术和能源效率对国内生产总值(GDP)的影响。采用固定效应面板分析发现,GDP作为经济绩效的代表,与可再生能源、交通运输、先进技术和能源效率存在显著的正相关关系。这意味着,可再生能源消费和能效因素提高了资源利用率,降低了经济成本,最终有助于各国提高经济效益。此外,还认为高效的运输和创新技术促进了可再生能源的使用和绿色经济。因此,这些因素有助于各国实现经济目标和保护环境。
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引用次数: 1
Technical Committee (Reviewers) 技术委员会(审稿人)
Pub Date : 2021-12-01 DOI: 10.1109/ateee54283.2021.00007
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引用次数: 0
Construction Method of Core Backbone Grid Based on Improved Fireworks Algorithm and Risk Theory 基于改进Fireworks算法和风险理论的核心骨干网格构建方法
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00021
Yihui Chen, L. Lin, Wenxin Huang, Xin Tian, Jun Wu, Zihui Guo, Zichen Liu
With the proposal of the “dual carbon” goal and the large-scale integration of new energy into the grid, there are uncertain factors in power supply, power grid and load, which will significantly enhance the operation risk of power grid. On this basis, considering the impact of natural disasters, the establishment and construction of the core backbone grid is of great importance. This paper proposes a risk assessment system of power grid operation involving multi-link uncertain factors. And the search model of the core backbone grid is constructed with the minimum comprehensive risk index and the minimum total line length as the objective function, and the network connectivity and power network security operation as the constraints. For stronger searching ability, the traditional fireworks algorithm is improved by introducing new explosion mode, new Gaussian variation, new mapping rules and elite-random selection strategy. Finally, the improved IEEE 39 system is simulated and the obtained backbone network frame meets the search requirements. Through comparative analysis of the grid changes under energy transition, the rationality of the objective function and the validity of the search system can be proved by the search results.
随着“双碳”目标的提出和新能源大规模入网,供电、电网和负荷存在不确定因素,电网运行风险显著增强。在此基础上,考虑到自然灾害的影响,核心骨干电网的建立和建设具有重要意义。提出了一种涉及多环节不确定因素的电网运行风险评估体系。以综合风险指数最小和总线路长度最小为目标函数,以电网连通性和电网安全运行为约束条件,构建了核心骨干电网搜索模型。为了提高传统烟花算法的搜索能力,算法引入了新的爆炸模式、新的高斯变分、新的映射规则和精英随机选择策略。最后,对改进后的ieee39系统进行了仿真,得到的骨干网帧满足搜索要求。通过对能量转换下网格变化的对比分析,通过搜索结果证明了目标函数的合理性和搜索系统的有效性。
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引用次数: 1
Optimal Placement of FACTS using Contingency Analysis in PowerWorld Simulator 利用权变分析在PowerWorld模拟器中优化放置事实
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00013
M. Ehsan, R. Badar
The study of power flow and contingency is essential for planning future power system expansion. It is necessary to determine the optimal way to operate existing power systems. D-FACTS devices are used to eliminate transmission line infractions. The aim of this paper is to investigate the optimal placement of FACTS devices in transmission lines. For this, a 37-bus benchmark test case has been selected for testing. The results show violations in transmission lines and no other path to install new transmission lines between these buses. After getting results for optimal placement of FACTS from the contingency analysis tool in PowerWorld Simulator, D-FACTS devices are placed on overloaded transmission lines. The number of violations decreased from 98 to 53 after placing FACTS at an appropriate location in the transmission line in the power system.
潮流和偶然性的研究是规划未来电力系统扩容的必要条件。确定现有电力系统的最佳运行方式是必要的。D-FACTS设备用于消除传输线违规。本文的目的是研究事实器件在传输线中的最佳放置。为此,选择了一个37总线基准测试用例进行测试。结果显示,输电线路存在违规行为,并且没有其他途径在这些母线之间安装新的输电线路。从PowerWorld模拟器中的应急分析工具中获得FACTS的最佳放置结果后,将D-FACTS设备放置在过载的传输线上。在电力系统中输电线路的适当位置放置FACTS后,违规次数从98次减少到53次。
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引用次数: 0
Metallized Polypropylene Film Capacitor Condition Monitoring in MMC Based on Impedance Measurement 基于阻抗测量的MMC金属化聚丙烯膜电容器状态监测
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00022
Yuting Sun
The healthy condition of the capacitor in each submodule (SM) is of great importance for the safety and stability operation of modular multilevel converter (MMC). An MMC structure often contains hundreds of SMs. Although the metallized polypropylene film (MPPF) capacitors with superior performance are widely used in current MMC projects, the aging and failure of those capacitors are still inevitable. Considering the most common cause of failure (self-healing and end-spray detachment), equivalent series capacitance (ESC) and equivalent series resistance (ESR) are employed to account for condition parameters of the MPPF capacitor. A new SM impedance measurement technique is proposed to monitor the condition of MPPF capacitors in MMC. Measurement technique extracts arm current, switching sequence and voltage signal of SMs which are already existed in control system, SMs capacitor voltage and current is then calculated by above signals. After processing its various frequency components by fast Fourier transform (FFT) algorithm, ESC and ESR of MPPF capacitor can be figured out with desired frequency. A 2.1kVA MMC system is established in MATLAB/Simulink. Simulation results verified the effectiveness and accuracy of the monitoring technique.
各子模块电容器的健康状态对模块化多电平变换器的安全稳定运行至关重要。MMC结构通常包含数百条SMs。金属化聚丙烯薄膜(MPPF)电容器具有优良的性能,在目前的MMC工程中得到了广泛的应用,但其老化和失效仍然是不可避免的。考虑到MPPF电容器最常见的故障原因(自修复和末端喷雾脱离),采用等效串联电容(ESC)和等效串联电阻(ESR)来解释MPPF电容器的状态参数。提出了一种新的SM阻抗测量技术来监测MMC中MPPF电容器的状态。测量技术提取控制系统中已有的SMs臂电流、开关顺序和电压信号,根据这些信号计算SMs电容器的电压和电流。通过快速傅里叶变换(FFT)算法对MPPF电容器的各频率分量进行处理,计算出所需频率的ESC和ESR。在MATLAB/Simulink中建立了一个2.1kVA MMC系统。仿真结果验证了该监测技术的有效性和准确性。
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引用次数: 0
Optimization Design Envelope for Building in Hot Climate Using Design of Experiment and Life Cycle Cost 热气候条件下建筑围护结构的实验设计与生命周期成本优化设计
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00024
Hocine Belahya, A. Boubekri, R. Belarbi, Romani Zaide
Nowadays sector of a building is one of the biggest energy consuming field and ranked first in many countries. The energy consumption for the building is related to the design stage. Many factors that should be taken into account for this stage, such as techno-economical parameters, directly affect the building energy consumption. Co-simulation is applied to optimize the design of residential buildings located in a hot climate to minimize life cycle costs while increasing their energy efficiency. A new approach of building performance assessment based on parametric design and analysis life cycle cost used the co-simulation method, in this study, we reduced the need for seasonal energy consumption by air conditioners and analyzed life cycle cost, 15 thermal and geometric factors are selected in this study such as Surface, Factor form, heat transfer through the walls, roof, and ground, also coefficient of absorption for solar radiation of the roof and the wall, Windows to Wall Ration and Factor Solar of Windows for four directions North, South, East, and West. The results of the metamodel from the co-simulation are compared against those obtained from a TRNSYS dynamic simulation; the fractional factorial metamodel has been accurate results. Then, the optimal design features of the envelope building are determined with life cycle cost can be saved 30.21%.
目前,建筑部门是最大的能源消耗领域之一,在许多国家都排在第一位。建筑的能耗与设计阶段有关。该阶段应考虑的诸多因素,如技术经济参数等,直接影响建筑能耗。将联合仿真应用于炎热气候下住宅建筑的优化设计,以最大限度地降低生命周期成本,同时提高其能源效率。基于参数化设计和生命周期成本分析的建筑性能评价新方法,采用联合模拟的方法,减少了空调的季节性能耗需求,分析了生命周期成本,选取了15个热因素和几何因素,如表面、因子形式、通过墙壁、屋顶和地面的传热,以及屋顶和墙壁对太阳辐射的吸收系数。北、南、东、西四个方向的窗户对墙比例和因子太阳。将联合仿真的元模型结果与TRNSYS动态仿真结果进行了比较;分数阶乘元模型得到了准确的结果。确定了围护结构全寿命周期造价节约30.21%的优化设计特征。
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引用次数: 0
Model Predictive Control based Optimal Dispatch of Wind and Hydrogen Hybrid Systems 基于模型预测控制的风氢混合动力系统最优调度
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00023
Weiwei Wang, Chunjun Huang, Y. Zong
To realize decarbonization, green hydrogen has been boosted in Denmark with the support of power to hydrogen (P2H) technology by taking advantage of enormous wind energy. The work efficiency of P2H technology, converting electricity from renewable energy into green hydrogen by water electrolysis can be improved by recycling its waste heat, which can be called power to hydrogen and heat (P2HH). In this paper, P2HH has been applied with a large-scale alkaline electrolyser, so that it works as a prosumer consuming electricity, and producing hydrogen and heat simultaneously. The mathematical model of the wind and hydrogen hybrid system with P2HH technology has been built and the economic performance of the hybrid system connected to the power grid has been investigated by applying an economic model predictive control (EMPC) strategy for its optimal dispatch. By using real-life historical data from the Bornholm energy island in Denmark, the simulation results show that the EMPC controller is capable of robustness to achieve optimal electricity consumption, energy cost savings, and the best economic benefits in terms of various system configurations, weights for hydrogen price, constraints on its recycled heat and working temperature. Among these configurations, without constraints on the recycled heat and weights for hydrogen price, the electrolyser working in the 60–90 °C can achieve the most profits in the study case.
为了实现脱碳,丹麦在电力到氢(P2H)技术的支持下,利用巨大的风能,推动了绿色氢的发展。P2H技术通过水电解将可再生能源中的电能转化为绿色氢气,通过回收其余热来提高其工作效率,可称为电氢热(P2HH)。本文将P2HH应用于大型碱性电解槽,实现了产消电、产氢、产热并作。建立了基于P2HH技术的风氢混合动力系统的数学模型,并采用经济模型预测控制(EMPC)策略对该系统的最优调度进行了经济性能研究。利用丹麦博恩霍尔姆能源岛的真实历史数据,仿真结果表明,EMPC控制器在各种系统配置、氢价格权重、循环热约束和工作温度约束等方面具有鲁棒性,能够实现最优的电力消耗、能源成本节约和最佳经济效益。在这些配置中,不受回收热量和氢气价格重量的限制,在研究案例中,60-90°C工作的电解槽可以获得最大的利润。
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引用次数: 0
Sliding Model Control of Servo Turntable Based on New Approaching Law 基于新逼近律的伺服转台滑模控制
Pub Date : 2021-12-01 DOI: 10.1109/ATEEE54283.2021.00015
Qilin Li, Jun Wang, Ziyuan Feng, Zhang Sun
For servo turntable system, there exists non-linear factors to affect the control performance of the system, such as friction torque, dead zone of components, fluctuation of motor torque and other non-linear factors and uncertain factors. In this paper, servo turntable system using DC torque motor is designed to improve the tracking accuracy, speed and anti-interference ability of servo turntable. Firstly, a sliding mode control algorithm is proposed based on a new approaching law, combining the traditional power approaching law and exponential approaching law. Secondly, based on the sliding mode control algorithm, a robust control strategy is proposed. Finally, the stability of the designed controller is proved by Lyapunov theory, and the performance of the proposed control strategy is verified by simulation.
对于伺服转台系统,存在影响系统控制性能的非线性因素,如摩擦力矩、元件死区、电机转矩波动等非线性因素和不确定因素。为了提高伺服转台的跟踪精度、速度和抗干扰能力,本文设计了采用直流转矩电机的伺服转台系统。首先,将传统的幂逼近律与指数逼近律相结合,提出了一种基于新的逼近律的滑模控制算法;其次,基于滑模控制算法,提出了一种鲁棒控制策略。最后,利用李雅普诺夫理论证明了所设计控制器的稳定性,并通过仿真验证了所提出控制策略的性能。
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引用次数: 0
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电工电能新技术
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