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390 results on '"Zhao, Huiru"'

41. Design and Analysis of Clamping Mechanism for Transmission Tower Climbing Robot

Author

Zhao Huiru, Lu Shouyin, and Shi Lirong

Subjects
Climbing robot, Mechanical engineering and machinery, TJ1-1570
Abstract

In view of the high risk and low efficiency of the manual maintenance of the safety rope during the work of the tower, the V-shaped angle steel symmetrical clamping mechanism is designed based on the principle of rhombus principle. It is mainly composed of a gripping hand, an abduction mechanism and an ejection mechanism. The clamping hand realizes the grasping of the diagonal steel by the cooperation of the screw jack and the sliding rail, and the abduction mechanism perpendicular to the clamping arm changes the position of the gripping hand by adjusting the exhibition distance thereof, and the V-shaped block on the front end of the ejector mechanism ensures that the robot body is always parallel to the angle. According to the analysis of the climbing environment of the transmission tower climbing robot, the three-dimensional model of the mechanism is drawn. The model is simplified according to the principle of rhombus principle and the rationality of the centering and the size of the mechanism is verified. The statics model is established and the clamping force is used for mechanical analysis and structural statics simulation. Through the prototype development and test, the feasibility of the clamping mechanism is preliminarily verified.

Published
2019
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43. Investment Efficiency Assessment of Distribution Network for the High Proportion of Renewable Energy: A Hybrid Multiattribute Decision-Making Method

Author

Li Lijia, Xie Guanglong, Lin Keyao, Hong Juhua, Ma Wanzhen, Wang Xuejie, and Zhao Huiru

Subjects
Article Subject, General Mathematics, General Engineering
Abstract

To cope with the high proportion of renewable energy connected to the grid under the carbon peak and neutrality goal, the investment in distribution network construction will account for more than 50% of the power grid companies’ investment direction in distribution networks in China. According to the characteristics of distribution network investment under the high proportion of renewable energy, a new evaluation index system of distribution network investment efficiency is constructed from the three dimensions of power supply guarantee capacity, total carrying capacity and value creation capacity. Besides, it put forward the game theory combined weighting method based on fuzzy BWM (F-BWM) method and anti-entropy weight method (a-EWM) and the multi-attribute decision-making method of MARCOS based on Pearson coefficient instead of the covariance matrix and improved weighted Mahalanobis distance (I-M-MARCOS). Finally, eight typical distribution network projects in a province of China are selected for empirical analysis. The results show that the model has good applicability in the evaluation of distribution network investment efficiency, and expanding the scale of distribution network and flexibly adjusting resources are the key ways to improve the investment efficiency of distribution networks.

Published
2022

45. Price-Based Demand Response: A Three-Stage Monthly Time-of-Use Tariff Optimization Model.

Author

You, Peipei, Li, Sitao, Li, Chengren, Zhang, Chao, Zhou, Hailang, Wang, Huicai, Zhao, Huiru, and Zhao, Yihang

Subjects
TARIFF, ELECTRICITY pricing, FISCAL year, PRICES, PHOTOVOLTAIC power generation, RENEWABLE energy sources
Abstract

In this research, we developed a three-stage monthly time-of-use (TOU) tariff optimization model to address the concerns of confusing time period division, illogical price setting, and incomplete seasonal element consideration in the previous TOU tariff design. The empirical investigation was conducted based on load, power generation, and electricity pricing data from a typical northwest region in China in 2022. The findings indicate the following: (1) In producing the typical net load curves, the employed K-means++ technique outperformed the standard models in terms of the clustering effect by 4.27–26.70%. (2) Following optimization, there was a decrease of 1900 MW in the maximum monthly abandonment of renewable energy, a decrease of 0.31–53.94% in the peak–valley difference, and a decrease of 2.03–17.27% in the monthly net load cost. (3) By taking extra critical peak and deep valley time periods into account, the average net load cost decreased by 10.36% compared with conventional peak–flat–valley time period division criteria. [ABSTRACT FROM AUTHOR]

Published
2023
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