With the large-scale access of distributed generation, the power flow characteristics of distribution network have been greatly changed. The conventional fault localization methods for distribution networks are no lon...
详细信息
ISBN:
(纸本)9798350375145;9798350375138
With the large-scale access of distributed generation, the power flow characteristics of distribution network have been greatly changed. The conventional fault localization methods for distribution networks are no longer applicable. To deal with the problems induced by large-scale access of distributed generation, a novel fault localization method based on improved particle swarm optimization algorithm is proposed in this paper. Aiming at the issues of potential misjudge, an objective function/ fitness value correction method is proposed to adapt to bidirectional power flow induced by distributed generation. Aiming at the issues of sluggish convergence and poor robustness in existing models, this paper introduces the Reverse-Local Learning based Particle Swarm Optimization algorithm to improve the optimization efficiency and algorithm stability. Case study is performed on the ieee-33 bus distribution network to demonstrate the accuracy and efficiency of the proposed fault localization method.
Demand for electricity has been steadily increasing recently. Because of this, it is important to not only use all the new energy sources that are available to make electricity, but also to lower power loss in the dis...
详细信息
作者：
Mohan, SarangaPanda, Sunita
Department of Electrical Electronics and Communication Engineering Bengaluru Campus India
Wireless sensor networks generate vast data offering insightful information for applications from industrial monitoring to smart cities. Optimizing energy consumption in these networks is critical for increasing the e...
详细信息
This paper presents a novel approach to enhance power system efficiency through the integration of distributed generation (DG) in the Bus 33 and 69 bus systems, employing Particle Swarm Optimization (PSO). The primary...
详细信息
This paper presents the design and simulation of MEMS based piezoresistive pressure sensor for a pressure range of 0.2-1.4 MPa. The study focuses on two distinct models, sharing identical surface areas, device dimensi...
详细信息
Emotional state leakage attracts increasing concerns as it reveals rich sensitive information, such as intent, demo graphic, personality, and health information. Existing emotion recognition techniques rely on vision ...
详细信息
ISBN:
(纸本)9798350339864
Emotional state leakage attracts increasing concerns as it reveals rich sensitive information, such as intent, demo graphic, personality, and health information. Existing emotion recognition techniques rely on vision and audio data, which have limited threat due to the requirements of accessing restricted sensors (e.g., cameras and microphones). In this work, we first investigate the feasibility of detecting the emotional state of people in the vibration domain via zero-permission motion sensors. We find that when voice is being played through a smartphone's loudspeaker or ear speaker, it generates vibration signals on the smartphone surface, which encodes rich emotional information. As the smartphone is the go-to device for almost everyone nowadays, our attack based only on motion sensors raises severe concerns about emotion state leakage. We comprehensively study the relationship between vibration data and human emotion based on several publicly available emotion datasets (e.g., SAVEE, TESS). Time-frequency features and machine learning techniques are developed to determine the emotion of the victim based on speech vibrations. We evaluate our attack on both the ear speakers and loudspeakers on a diverse set of smartphones. The results demonstrate our attack can achieve a high accuracy, with around 95.3% (random guess 14.3%) accuracy for the loudspeaker setting and 60.52% (random guess 14.3%) accuracy for the ear speaker setting.
The global diabetes epidemic has exposed significant clinical variability in diabetic patients, including phenotypes that defy accepted characteristics. Atypical diabetic phenotypes in lungs are sifting through numero...
详细信息
The relevance of 3D techniques in a wide range of applications, such as augmented Reality (AR), architecture, and other commercial fields, has made rapid 3D reconstruction of the environment an important research issu...
详细信息
SLAM technology is one of the important technologies in modern robot, automatic driving and other fields, which can carry out autonomous positioning and map building in unknown environment. In indoor motion measuremen...
详细信息
In this paper, a 226Ah type lithium-ion power battery module is taken as the research object, the temperature differences across various temperature sensor layout positions are studied, and the feasibility of the exis...
详细信息
ISBN:
(纸本)9798350375145;9798350375138
In this paper, a 226Ah type lithium-ion power battery module is taken as the research object, the temperature differences across various temperature sensor layout positions are studied, and the feasibility of the existing temperature sensor layout is verified. The test results show that the temperature of conductive aluminum bar is lower than the temperature of the large surface of the cell core, and the maximum temperature difference is maintained at 2 degrees C under the working condition of less than 1/3C charge-discharge ratio. For driving durable super-power conditions, the temperature of conductive aluminum bar is higher than the large surface temperature, and the maximum instantaneous temperature difference is 5.2 degrees C. The core temperature of the existing temperature sensor layout scheme does not exceed the maximum monitored value. The instantaneous temperature difference under super power conditions will lead to the discharge power of the cell exceeding the actual capacity, but the pre-undervoltage control strategy of the battery management system will not allow the cell overdischarge, the risk of the existing temperature sensor layout scheme of the battery module structure is controllable. The test results can also provide reference for thermal management system design of power battery system.
暂无评论