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International Journal of Power and Energy Systems最新文献

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IDENTIFICATION OF FAULT ZONE IN DISTRIBUTION SYSTEM IN THE PRESENCE OF PV MODULE AND ESD BY DTCWT–STATE VECTOR MACHINE ALGORITHM USING OPTIMALLY PLACED MEASURING DEVICES 采用dtcwt -状态向量机算法对光伏组件和esd存在的配电系统进行故障区识别
IF 0.5 Q3 Mathematics Pub Date : 2022-01-01 DOI: 10.2316/j.2022.203-0336
S. Joga, P. Sinha, M. K. Maharana, D. Kothari, C. Jena
In this paper, a novel scheme is suggested for identifying the location of short-circuit faults that occur in distribution system. The proposed genetic algorithm and graph theory–based method is designed such a way that it splits electrical distribution system into protection zones containing buses, protection relays with measuring devices. Proposed methodology also decreases the calculation burden in dealing with large number of data sets. Genetic algorithm– based heuristic search method is used to place measuring devices at optimal location, and it is carried out in MATLAB. A new signal processing technique named dual tree complex wavelets transform is used for feature extraction, and support vector machine–based machine learning classifier is used for pattern recognition. IEEE33 bus radial distribution system and IEEE13 bus feeder test systems are tested for validating the proposed methodology and all the simulation work carried out in MATLAB Simulink.
本文提出了一种新的配电系统短路故障定位方法。采用遗传算法和基于图论的方法,将配电系统划分为包含母线、保护继电器和测量装置的保护区域。该方法还减少了处理大量数据集时的计算负担。采用基于遗传算法的启发式搜索方法将测量装置放置在最优位置,并在MATLAB中实现。采用对偶树复小波变换进行特征提取,采用基于支持向量机的机器学习分类器进行模式识别。对IEEE33总线径向分配系统和IEEE13总线馈线测试系统进行了测试,以验证所提出的方法,并在MATLAB Simulink中进行了所有仿真工作。
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引用次数: 0
The Role of International Journal of Energy and Power Systems (IJEPS) 国际能源与电力系统杂志(IJEPS)的作用
IF 0.5 Q3 Mathematics Pub Date : 2021-09-10 DOI: 10.54616/ijeps/20211101
Ching-Ming Lai
The role and purpose of this new International Journal of Energy and Power Systems are elucidated.
阐明了这一新的《国际能源与电力系统杂志》的作用和目的。
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引用次数: 0
Assessment of Power Compeers Prospective of Gobecho Micro Hydropower Plant on Ganga River, Genale Dawa River Basin, Ethiopia 埃塞俄比亚Genale - Dawa河流域恒河Gobecho微型水电站电力竞争前景评价
IF 0.5 Q3 Mathematics Pub Date : 2021-04-26 DOI: 10.11648/J.EPES.20211002.12
A. Ayalew
Micro hydropower helps the rural areas to supply power with off grid electrification. This study deals with the design of micro hydropower scheme in Gobecho kebele, Genale Dawa river basin, Ethiopia. The site for the construction of diversion weir is located upstream of the Ganga river in the kebele. The design were implemented based on the available hydrological data collected from 1991 to 2020 river discharge at different stations by selecting the one, which is near to the Gobecho catchment. Ererti is a station geographically near to Gobecho catchment by using GIS 10.7 application. The Gobecho peak probable discharge of 3.503m3/s is computed using log normal distribution after L-moment analysis. Based on this peak discharge, vertical drop weir and components of headwork structure designed and provided relevant dimensions. The proposed vertical drop weir has a height of 0.703m, crest length 10m and the design flow for a hydropower scheme is 0.132m3/s estimated by FDC. The water passes through trapezoidal power canal of a 0.35m width and a 0.43 height to a forebay tank. A forebay of size 9 × 1.3 × 1.7 is provided at the end of the power canal. Moreover, the water leads from forebay to a 0.24m diameter of penstock running one unit turbine and capacity of 25kw. The selected type of turbine for proposed plant is cross flow turbine. Finally, the quantity of calculated estimate cost is 50,000 USD and the B/C ratio of 1.48 provided for this micro hydropower project.
微水电帮助农村地区实现离网电气化供电。本文研究了埃塞俄比亚Genale Dawa河流域Gobecho kebele微型水电方案的设计。引水堰的建设地点位于恒河上游的科贝勒。根据1991年至2020年不同站点的水文资料,选择靠近Gobecho流域的站点进行设计。Ererti是一个地理上靠近Gobecho流域的站点。经l矩分析,采用对数正态分布计算出Gobecho峰值可能流量3.503m3/s。在此基础上,设计了垂直落差堰及水头结构部件,并给出了相应的尺寸。拟建垂直落差堰高0.703m,坝顶长10m, FDC估算某水电方案设计流量0.132m3/s。水通过宽0.35米、高0.43米的梯形动力渠,进入前湾水箱。功率管末端设有9 × 1.3 × 1.7尺寸的前凹。此外,水从前湾引入直径0.24米的压力管道,运行一台机组涡轮机,容量为25千瓦。拟建电厂选用的水轮机类型为横流水轮机。最后,计算估算成本的金额为5万美元,为该微型水电项目提供的B/C比为1.48。
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引用次数: 0
FUNCTION BLOCKS EXECUTION SCHEDULING METHOD IN EPA INDUSTRIAL ETHERNET epa工业以太网中的功能块执行调度方法
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/J.2021.203-0276
Ning Liu, C. Zhong, Tonglong Xue
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引用次数: 0
AN IMPROVED GREY WOLF OPTIMIZATION TECHNIQUE FOR ESTIMATION OF SOLAR PHOTOVOLTAIC PARAMETERS 一种改进的灰狼优化技术估算太阳能光伏参数
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/j.2021.203-0318
Pijush Dutta∗, Madhurima Majumder∗∗
Modelling and parameter extraction of the solar cell is difficult for the researcher due to the nonlinear characteristics of voltage and current. Optimization is the best technique through which we can obtain the optimum parameters from a nonlinear model. Recently, there are a number of optimization techniques that are applied for the estimation of the optimum parameter from solar, but still it is not achieved to date. In the present research, we proposed Improved Grey Wolf Optimization (HPSOGWO) for identifying the optimum parameter of a solar cell. Relative error, convergence speed, accuracy, and stability of the final solution are the statistical result which is compared with the particle swarm optimization (PSO) and Grey wolf optimization (GWO) for a single diode model and double diode model of a solar cell. A comparative study reveals that the improved version of the GWO tool provides a more accurate model for the estimation of the optimum parameter of a solar cell with less number of iteration. Hence, we recommended that HPSOGWO is the best optimization tool for providing the perfect promising performance.
由于电压和电流的非线性特性,太阳能电池的建模和参数提取一直是研究人员的难题。优化是一种从非线性模型中获得最优参数的最佳方法。近年来,有许多优化技术应用于太阳最优参数的估计,但至今仍未实现。在本研究中,我们提出了改进的灰狼优化算法(HPSOGWO)来确定太阳能电池的最佳参数。将最终解的相对误差、收敛速度、精度和稳定性与单二极管模型和双二极管模型的粒子群优化(PSO)和灰狼优化(GWO)进行了统计比较。对比研究表明,改进后的GWO工具能够以更少的迭代次数为太阳电池最优参数的估计提供更精确的模型。因此,我们建议将HPSOGWO作为最佳的优化工具,以提供理想的性能。
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引用次数: 2
MEASUREMENT SCHEME FOR SIGNALS ON CORE EARTH CONDUCTOR OF POWER TRANSFORMERS 电力变压器铁心接地导体信号测量方案
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/j.2021.203-0199
Ke Xuezhi, L. Zhaohui, Hong Wang
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引用次数: 1
VARIABLE PARAMETER ZERO-ATTRACTING LEAST MEAN SQUARE CONTROL OF MULTIFUNCTIONAL PV-BATTERY-FUEL CELL GRID-TIED SYSTEM 多功能光伏电池-燃料电池并网系统的变参数零吸引最小均方控制
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/j.2021.203-0188
Mukul Chankaya, Ikhlaq Hussain, Aijaz Ahmad
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引用次数: 4
APPLICATION OF VFT COORDINATED WITH FUZZY-BASED SCESS FOR LOAD FREQUENCY CONTROL VFT与模糊控制在负荷频率控制中的应用
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/j.2021.203-0344
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引用次数: 1
CONSTRAINED DISCRETE PREDICTIVELY CONTROLLED DISTRIBUTED ENERGY STORAGE EVALUATION IN A MULTI-BUS SYSTEM 多总线系统的约束离散预测控制分布式储能评价
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/J.2021.203-0320
Hailiya Ahsan, M. Mufti
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引用次数: 0
USE OF ENERGY COUPLING DEVICES FOR VIRTUAL POWER PLANT OPERATION 虚拟电厂运行中能量耦合装置的使用
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.2316/J.2021.203-0333
Jiao Fengshun, Deng Yongsheng, Duo Li, Bo Wei, Xiang Qianliang
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引用次数: 0
期刊
International Journal of Power and Energy Systems
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