The supply of quality energy is a major concern for distribution network managers. This is the case for the company ASEMI, whose subscribers on the DJEGBE mini-power station network are faced with problems of current ...The supply of quality energy is a major concern for distribution network managers. This is the case for the company ASEMI, whose subscribers on the DJEGBE mini-power station network are faced with problems of current instability, voltage drops, and repetitive outages. This work is part of the search for the stability of the electrical distribution network by focusing on the audit of the DJEGBE mini photovoltaic solar power plant electrical network in the commune of OUESSE (Benin). This aims to highlight malfunctions on the low-voltage network to propose solutions for improving current stability among subscribers. Irregularities were noted, notably the overloading of certain lines of the PV network, implying poor distribution of loads by phase, which is the main cause of voltage drops;repetitive outages linked to overvoltage caused by lightning and overcurrent due to overload;faulty meters, absence of earth connection at subscribers. Peaks in consumption were obtained at night, which shows that consumption is greater in the evening. We examined the existing situation and processed the data collected, then simulated the energy consumption profiles with the network analyzer “LANGLOIS 6830” and “Excel”. The power factor value recorded is an average of 1, and the minimum value is 0.85. The daily output is 131.08 kWh, for a daily demand of 120 kWh and the average daily consumption is 109.92 kWh, or 83.86% of the energy produced per day. These results showed that the dysfunctions are linked to the distribution and the use of produced energy. Finally, we proposed possible solutions for improving the electrical distribution network. Thus, measures without investment and those requiring investment have been proposed.展开更多
文章提出了一种基于多特征要素的网络安全审计中的特征数据关联方法。该方法以国际移动设备识别码(International Mobile Equipment Identity,IMEI)、国际移动用户识别码(International Mobile Subscriber Identification,IMSI)、移动终...文章提出了一种基于多特征要素的网络安全审计中的特征数据关联方法。该方法以国际移动设备识别码(International Mobile Equipment Identity,IMEI)、国际移动用户识别码(International Mobile Subscriber Identification,IMSI)、移动终端MAC(TERMINAL_MAC)地址三个特征要素为关联因子,通过持续更新完善特征信息串的方式,有效解决了在接入网络的移动终端MAC地址可能发生周期变化的情况下,构建移动终端用户唯一虚拟画像的问题。展开更多
文摘The supply of quality energy is a major concern for distribution network managers. This is the case for the company ASEMI, whose subscribers on the DJEGBE mini-power station network are faced with problems of current instability, voltage drops, and repetitive outages. This work is part of the search for the stability of the electrical distribution network by focusing on the audit of the DJEGBE mini photovoltaic solar power plant electrical network in the commune of OUESSE (Benin). This aims to highlight malfunctions on the low-voltage network to propose solutions for improving current stability among subscribers. Irregularities were noted, notably the overloading of certain lines of the PV network, implying poor distribution of loads by phase, which is the main cause of voltage drops;repetitive outages linked to overvoltage caused by lightning and overcurrent due to overload;faulty meters, absence of earth connection at subscribers. Peaks in consumption were obtained at night, which shows that consumption is greater in the evening. We examined the existing situation and processed the data collected, then simulated the energy consumption profiles with the network analyzer “LANGLOIS 6830” and “Excel”. The power factor value recorded is an average of 1, and the minimum value is 0.85. The daily output is 131.08 kWh, for a daily demand of 120 kWh and the average daily consumption is 109.92 kWh, or 83.86% of the energy produced per day. These results showed that the dysfunctions are linked to the distribution and the use of produced energy. Finally, we proposed possible solutions for improving the electrical distribution network. Thus, measures without investment and those requiring investment have been proposed.
文摘文章提出了一种基于多特征要素的网络安全审计中的特征数据关联方法。该方法以国际移动设备识别码(International Mobile Equipment Identity,IMEI)、国际移动用户识别码(International Mobile Subscriber Identification,IMSI)、移动终端MAC(TERMINAL_MAC)地址三个特征要素为关联因子,通过持续更新完善特征信息串的方式,有效解决了在接入网络的移动终端MAC地址可能发生周期变化的情况下,构建移动终端用户唯一虚拟画像的问题。
