2022 6th International Conference on Green Technology and Sustainable Development (GTSD)最新文献_第5页

An Enhancement of Multi-objective Optimization Method in Unbalanced Power Distribution System Integrated Distributed Energy Resources 集成分布式能源的不平衡配电系统多目标优化方法的改进

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989209

Dinh Thanh Viet, Tran Hong Quan

{"title":"An Enhancement of Multi-objective Optimization Method in Unbalanced Power Distribution System Integrated Distributed Energy Resources","authors":"Dinh Thanh Viet, Tran Hong Quan","doi":"10.1109/GTSD54989.2022.9989209","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989209","url":null,"abstract":"With the continuous variation of the power demand and the weather-dependent characteristics of the distributed energy resources (DERs), the balance of operation security and customers' benefits, is not easy to harmonize, especially in the context of the DERs' development such as solar, wind energy at present. In practice, we have to find a good solution to meet the objective of photovoltaic energy output's maximization and the objective of power loss's minimization and etc. But multi-objective optimization problem (MOOP) usually consumes a lot of time to solve and can not be converged in some cases with a fairly large complex network. In this paper, an enhancement of utilizing an open-source platform to solve MOOP for a distribution system integrated with DERs has been proposed. All implemented calculation and programming are optimized to reduce the consuming time, thus it is very flexible and legal to apply economically in practice. Specifically, it is expected to apply the whole model and its own results in the operation activity of power distribution companies.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Innovative Design of the Electric Vehicles for Shell Eco-Marathon Asia Contest 壳牌生态马拉松亚洲赛电动汽车创新设计

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9988988

N. Hoang, Hong–Phuc Vo, P. Le, Cao-Luong Tran, Nhat-Duy Trinh, Tran-Anh-Doi Pham

引用次数: 0

A Study on Simulate Minimal Algorithm for Operating a Gasoline Engine Using LabView 基于LabView的汽油机运行仿真最小算法研究

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989162

Phu Thuong Luu Nguyen

{"title":"A Study on Simulate Minimal Algorithm for Operating a Gasoline Engine Using LabView","authors":"Phu Thuong Luu Nguyen","doi":"10.1109/GTSD54989.2022.9989162","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989162","url":null,"abstract":"in the automotive industry, controlling a gasoline engine is a very popular and widespread area of study. Moreover, in laboratory and academic institutions, using a computer control transaction may not be the ultimate idea because the required operating and calibration algorithms are predefined (only the manufacturer's accessible) without allowing for significant outside interference, and research lab services in the supply chain are outrageously costly. As a result, in this article, we introduce a minimal algorithm for starting and operating a petrol engine. The displayed solvent can currently be customized to work on commercially available efficiency ECUs at a reasonable cost. The algorithm presented here was created in LabVIEW. This paper describes the design of electronic fuel injection system behavior in diverse steady-state conditions as well as the method of determining injection pulse width and ignition timing using two virtual prediction models made with the software National Instruments LabVIEW and values taken from the actual experimental display. The comparison of simulation system results and experimental data can be used to determine whether the simulation system is accurate and reliable.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115447082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A State Feedback Model-Free Predictive Controller for DC Motors Using Neural Network 基于神经网络的直流电机状态反馈无模型预测控制器

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989082

Nguyen Hai Phong, Dang Xuan Ba

{"title":"A State Feedback Model-Free Predictive Controller for DC Motors Using Neural Network","authors":"Nguyen Hai Phong, Dang Xuan Ba","doi":"10.1109/GTSD54989.2022.9989082","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989082","url":null,"abstract":"In the automation control field, the model predictive controller is a modern controller with a simple control method, applied in the process of controlling the robot, motor,… In order to achieve desired quality, the control law is built based on the model datasets in the past, the present, and the future. The practical application of this method is hindered because it is so difficult to accurately determine model parameters. The paper proposes an advanced control method for position control of DC motors. The controller is combined from a neural network with an advanced model predictive controller instead of a classic predictive controller. In the first step, the technique employs a state-feedback control signal to stabilize the dynamical model of the system. Once the stable model has been obtained, in the second step, a proper neural network is designed with adaptive learning rules to learn the system behaviors. To realize the control objective, in the last step, a predictive control law is developed based on the online estimation results obtained from the network. The effectiveness of the proposed controller was carefully verified through in-depth simulation results.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132611569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Renewable Energy Source Optimization Based on Pumped-Storage Hydroelectricity 基于抽水蓄能水电的可再生能源优化

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989292

Tran Ngoc Huy Thinh, Nguyen Huu Chau Minh, Lam Hoang Cat Tien, Võ Hoài Nam, Ly Phuc Lac

{"title":"Renewable Energy Source Optimization Based on Pumped-Storage Hydroelectricity","authors":"Tran Ngoc Huy Thinh, Nguyen Huu Chau Minh, Lam Hoang Cat Tien, Võ Hoài Nam, Ly Phuc Lac","doi":"10.1109/GTSD54989.2022.9989292","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989292","url":null,"abstract":"In 2019–2020, with encouragement from the Government in promoting the development of renewable energy sources, Vietnam has witnessed the rapid growth of solar and wind power sources. By the end of 2020, there were 16,700MW of solar power capacity connected to the national grid and accounted for 24 percent of the capacity of the whole national grid. These renewable energy sources are mainly concentrated in the Ninh Thuan and Binh Thuan provinces of Vietnam. The transmission power grid has not developed in time in this area to relieve all power sources, so there has been an overcapacity situation that has led to a reduction in the generating capacity of power plants, causing a waste of resources. In this paper we introduce renewable energy source storage technology based on pumped-storage hydroelectricity (PSH) technology, evaluating the role of a PSH plant in balancing the capacity of the power system when the system is connected to unstable power sources such as solar and wind power. Also, in this research, we propose Model Predictive Controller (MPC) built through LabView software to control the power balance on the grid. The results of the research show that the solution to building a PHS plant to optimize renewable energy sources in the central provinces of Vietnam is the right solution for Geographically favorable conditions, PHS also brings economic profit and stabilizes Vietnam's electricity system","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115855409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reassessment of Economic Current Density based on Life Cycle Cost under Market Economy Condition: a Case Study in Vietnam 市场经济条件下基于生命周期成本的经济电流密度再评估——以越南为例

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989182

V. Pham, Giang D. Ha, Quyet D. Nguyen, Thu Trang Nguyen

{"title":"Reassessment of Economic Current Density based on Life Cycle Cost under Market Economy Condition: a Case Study in Vietnam","authors":"V. Pham, Giang D. Ha, Quyet D. Nguyen, Thu Trang Nguyen","doi":"10.1109/GTSD54989.2022.9989182","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9989182","url":null,"abstract":"Reasonable selection of cross-sectional area of conductors for overhead transmission lines has great effects on reaping economic benefits during the entire project's life cycle. Economic current density is an essential reference for the selection of conductor size. The traditional economic current density put forward in the 1950s and widely used in the electric power industry in Vietnam takes no account of the time value of money and assumes constant values of the marginal cost of electricity and wire price. These prices, however, can profoundly affect economic current density values. Therefore, these values need to be updated. This paper proposes a novel methodology based on life cycle cost (LCC) to scientifically and comprehensively determine economic current density values, complying with the current market economy conditions. The total LCC can be expressed as the sum of the initial capital investment cost (CIC) and the total cost of operation (TCO), comprising the cost of maintenance and electrical energy loss. Analytical function of CIC relating to conductor cross-sectional area and nominal voltage is obtained using available data from previously constructed overhead lines and regression analysis. The electrical energy loss is determined using equivalent hours of loss, which in turn depends on equivalent hours of utilization. Analytical expression of equivalent hours of loss with respect to equivalent hours of utilization is attained using the regression method from historical load data. Finally, a practical case study of a 110 kV overhead line in Vietnam is leveraged to validate the viability and effectiveness of the proposed approach. The calculation results show that the life cycle cost using the economic current density developed in this work is lower than that from the Vietnam standard.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123426905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid HHO-Wavenet Model Applies in Short-term Load Forecasting for Microgrid System 混合hho -小波模型在微电网短期负荷预测中的应用

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989027

Thanh-Hoan Nguyen, Q. Pham, Vu-Thuy Nguyen, V. Trương, H. Nguyen, D. Truong

引用次数: 0

Image Secure Communication Using BELC-CMAC and Chaos Synchronization 基于BELC-CMAC和混沌同步的图像安全通信

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9988766

Tuan-Tu Huynh, D. Pham, Nguyen Thanh Son

引用次数: 1

Air Quality Monitoring and Forecasting System using IoT and Machine Learning Techniques 使用物联网和机器学习技术的空气质量监测和预报系统

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9988756

Quynh Anh Tran, Quang Hung Dang, Tung Le, Huy-Tien Nguyen, T. Le

{"title":"Air Quality Monitoring and Forecasting System using IoT and Machine Learning Techniques","authors":"Quynh Anh Tran, Quang Hung Dang, Tung Le, Huy-Tien Nguyen, T. Le","doi":"10.1109/GTSD54989.2022.9988756","DOIUrl":"https://doi.org/10.1109/GTSD54989.2022.9988756","url":null,"abstract":"Air pollution has been a growing concern in the twenty-first century, affecting the surrounding environment and public health. The previous studies have recently undertaken significant research on air pollution and air quality monitoring. Unfortunately, this area continues to be challenged by unresolved issues. This paper proposes an IoT-based Air Quality Monitoring and Forecasting System to monitor and predict air pollution for a specific area based on various pollution factors. Using Arduino UNO R3 and various low-cost sensors, our IoT system can collect and monitor pollutants, such as PM2.5, CO2, CO, as well as temperature and humidity. The air quality data was collected for several months. To overcome the problems of instability of low-cost devices in monitoring, machine learning (ML) algorithms, such as K-Nearest-Neighbour (KNN), Expectation-Maximization (EM), Multiple Imputation by Chained Equations (MICE), and Autoregressive-Moving-Average (ARMA), are applied to address missing data and outliers due to technical issues. The KNN model outperformed all others in terms of RMSE, MSE, MAE, R-squared, and execution time. Then, Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) algorithms are applied to predict future air quality. The result shows that our system can predict the air quality factors over the next hour with the highest accuracy at 96 %. Finally, a web interface was created to monitor and forecast air quality in real-time.","PeriodicalId":125445,"journal":{"name":"2022 6th International Conference on Green Technology and Sustainable Development (GTSD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124587286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Computed Torque Controller for Robotic Manipulators Using Nonlinear Neural Network 基于非线性神经网络的机械臂计算转矩控制器

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989043

Nguyen Tran Minh Nguyet, Dang Xuan Ba

引用次数: 0