Simulation on the Energy Saving Control Model of Large-Scale Power Control

2014 ◽  
Vol 602-605 ◽  
pp. 1190-1193
Author(s):  
Rui Xiang Fan ◽  
Wei Xia ◽  
Bin Liu
Keyword(s):  
Genetic Algorithms ◽  
Control System ◽  
Energy Consumption ◽  
Power Control ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Energy Saving Control

During the large transformers operation, the proportion of the non-essential energy consumption is higher. In order to reduce the energy consumption in power control process, a new design method of energy-saving control in large-scale power control process based on adaptive linear genetic algorithms. Loss model of power control is established firstly. Based on the relevant data of the model, energy-saving control in large-scale power control process can be achieved. Experimental results show that the improved algorithm can effectively reduce the energy consumption in large-scale power control system, and meet the actual demand of power control.

Research and Simulation on the Energy-Saving Control Model of Large-Scale Intelligent Electromechanical Device

2014 ◽  
Vol 986-987 ◽  
pp. 1236-1239
Author(s):  
Yun Long Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Consumption Energy ◽  
Electromechanical Device ◽  
Reduce Energy Consumption ◽  
Energy Saving Control

In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.

Energy-Saving Control System for AC Motors

2013 ◽  
Vol 765-767 ◽  
pp. 1988-1991
Author(s):  
Guo Zhuang Liang ◽  
Meng Zhang ◽  
Shan Shan Jiang
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Energy Saving ◽  
Frequency Converter ◽  
Input Power ◽  
Load Range ◽  
Light Load ◽  
Ac Motors ◽  
Ac Motor ◽  
Energy Saving Control

When AC motor is operated in the light load or no-load, the power factor of AC motor is relatively low, so frequency converter is adapted to motor for energy-saving control, and the system increase the tracking function of the load on the basis of all the features of the conventional inverter. And it is able to real-time monitor to load changes of the motor through the microcontroller, online adjust the input power of the motor, so that the motor output power to match load, ensure that the energy consumption of the motor is reduced to a minimum extent in the entire load range.

Energy Saving Design Method for Large Weak Electronic Circuit

2014 ◽  
Vol 513-517 ◽  
pp. 4127-4130
Author(s):  
Bo Yu ◽  
Li Song ◽  
Zhong Ming Wu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Circuit Design ◽  
Large Scale ◽  
Electronic Circuit ◽  
Design Method ◽  
High Energy ◽  
Proposed Model ◽  
Consumption Situation ◽  
High Energy Consumption

This paper mainly discusses the energy-saving design method for large weak electronic circuit. In large scale electronic circuit, there is no direct relevance between every two element modules. The traditional weak element circuit design concentrates in a single module, while ignoring module dependencies in energy-saving design, resulting in high energy consumption in large-scale electronic circuits. This paper proposes to establish the relevance energy-loss model for each model in the large-scale weak electronic circuit to obtain the energy consumption situation, and consider the energy consumption in module coordination to saving energy. The simulation results show that the proposed model used for large-scale energy weak circuit design can effectively reduce the energy consumption in weak circuit application.

scholarly journals Algorithm of Energy-Saving Control Over Hammers of Active Excavator Buckets

2021 ◽  
Vol 346 ◽  
pp. 03033
Author(s):  
Yako Liberman ◽  
Konstantin Letnev ◽  
Lyubov Gorbunova
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Energy Saving ◽  
Frozen Soils ◽  
Operating Modes ◽  
Hammer Head ◽  
All Speeds ◽  
Energy Saving Control ◽  
Command Signal

The article considers the operation of excavators designed to mine hard or frozen soils. To reduce significant energy consumption, which characterizes the process, active buckets equipped with special hammers are used. Minimizing the energy consumption of such buckets can be achieved by optimally controlling their operating modes. Expressions for the energy consumed by a hammer, characteristics of its head, operating modes, soil are derived, with the minimum of the energy estimated. On the basis of those expressions, an algorithm of energy-saving control over hammers of active excavator buckets is formed and described. It determines the corresponding speed of impact of the hammer head on the soil which can be supplied to the hammer control system in the form of a command signal. The combination of all speeds when digging a track will provide the required performance of the excavator, with each speed set to the minimum, from the viewpoint of optimizing the energy consumption, necessary for the work of the hammer.

System Design for Large-Scale Water Control Based on PLC

2013 ◽  
Vol 846-847 ◽  
pp. 176-179
Author(s):  
Xin Hui Yang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
System Design ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Normal Operation ◽  
Water Control ◽  
Actual Control

Traditional algorithms for large-scale water control system need to realize control according to mathematical model which makes the parameters setting difficult. At the same time, certain defects in the control effects reduce the safety and the reliability of the system, thus it is hardly to satisfy the normal operation of the water control system. In order to avoid the defects in traditional algorithms, this paper proposes a design method for large-scale water control system bases on PLC and applies it in the actual control process. The results show that the proposed algorithm can effectively improve the accuracy of the large-scale water control system.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

Research on Energy-Saving Algorithms with Migration Energy Consumption in Heterogeneous Cloud Environment

2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Electrical Energy ◽  
Cloud Environment ◽  
Migration Energy ◽  
Live Migration ◽  
Large Scale Data ◽  
Heterogeneous Cloud

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).

scholarly journals Energy saving control system development for external lighting

2020 ◽  
Vol 17 (3) ◽  
pp. 1601
Author(s):  
A.A. Ashryatov ◽  
V.G. Kulikov ◽  
A.V. Panteleyev
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Control Systems ◽  
Reactive Power ◽  
System Development ◽  
Economic Effect ◽  
Power Reduction ◽  
Street Lighting ◽  
Lighting Control ◽  
Energy Saving Control

<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>

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