2020 International Conference on Electrical Engineering and Control Technologies (CEECT)最新文献_第3页

Peer-to-Peer Energy Trading in Microgrids: Towards an Integrated Open and Distributed Market 微电网中的点对点能源交易:迈向一体化、开放和分布式市场

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298633

L. Mazzola, Alexander Denzler, Ramón Christen

{"title":"Peer-to-Peer Energy Trading in Microgrids: Towards an Integrated Open and Distributed Market","authors":"L. Mazzola, Alexander Denzler, Ramón Christen","doi":"10.1109/CEECT50755.2020.9298633","DOIUrl":"https://doi.org/10.1109/CEECT50755.2020.9298633","url":null,"abstract":"This work focuses on the electric power market, comparing the status quo with the recent trend towards the increase in distributed self-generation capabilities by prosumers. Starting from the existing tension between the intrinsically hierarchical current structure of the electricity distribution network and the substantially distributed and self-organising nature of the self-generation, we explore the limitations imposed by the current conditions. Initially, we introduce a potential multi-layered architecture for a Peer-to-Peer (P2P) energy market, discussing the fundamental aspects of local production and local consumption as part of a microgrid. Secondly, we analyse the consequent changes for the different users’ roles, also in connection with some incentive models connected with the decentralisation of the power production. To give a full picture to the reader, we also scrutinise relevant elements of energy trading, such as Smart Contract and grid stability. Thirdly, we present an example of a typical P2P settlement, showcasing the role of all the previously analysed aspects. To conclude, we performed a review of relevant activities in this domain, to showcase where existing projects are going and what are the most important themes covered. Being this a work in progress, many open questions are still on the table and will be addressed in the next stages of the research. Eventually, by providing a reference model as base for further discussions and improvements, we would like to engage ourselves in a dialog with the different users and the broad community, oriented towards a more fair and ecological-friendly solution for the electricity market of the future.","PeriodicalId":115174,"journal":{"name":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305749","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: 3

DGRSS: A Platform for Real-time Simulation of Active Distribution Networks with High Penetration of Distributed Renewable Energy 分布式可再生能源高渗透有源配电网实时仿真平台

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298678

Ge Cao, W. Gu, Wei Liu, Peixin Li

引用次数: 0

Review of voltage quality management in China and abroad 国内外电压质量管理综述

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298627

M. Shen, Tongxun Wang, Shengjun Zhou, Guoqiang Su

引用次数: 0

Conference Speakers 会上发言的

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/ceect50755.2020.9298677

引用次数: 0

Short-term Load Forecasting Based on the Improved BAS Optimized Elman Neural Network 基于改进BAS优化Elman神经网络的短期负荷预测

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298636

Wenlin Huang, Zhongli Wang, Fengzhi Che

{"title":"Short-term Load Forecasting Based on the Improved BAS Optimized Elman Neural Network","authors":"Wenlin Huang, Zhongli Wang, Fengzhi Che","doi":"10.1109/CEECT50755.2020.9298636","DOIUrl":"https://doi.org/10.1109/CEECT50755.2020.9298636","url":null,"abstract":"To improve the accuracy of short-term load forecasting, an Elman neural network short-term load forecasting model based on an improved beetle antennae search (BAS) algorithm was proposed. Firstly, the classical function Rosenbrock was optimized by particle swarm optimization (PSO) algorithm, BAS algorithm, and improved BAS algorithm which convergence faster by comparison. Further, the improved BAS algorithm was used to optimize the short-term power load prediction model of the Elman neural network, and the stability of the algorithm was improved by taking into account the shortcoming of the traditional BAS algorithm, which was prone to fall into local convergence. We used ground load data in the European Intelligent technology Competition for analysis and prediction. Then we used respectively traditional Elman neural network and the Elman optimized by the improved BAS algorithm to predict and analyze the power load for a month, and obtain the residual and residual rates between the load and the real value. Example results and comparative analysis show that the operation time of the improved BAS-Elman neural network is about 15.8% shorter than that of the traditional BAS network, and the prediction accuracy is about 1.2% higher than original Elman short-term power load forecasting.","PeriodicalId":115174,"journal":{"name":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131800015","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: 3

Analysis of the PID Controller for Marine Diesel Engine Speed on Simulink Environment 基于Simulink环境的船用柴油机转速PID控制器分析

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298679

T. Tran

引用次数: 3

Adaptive back-stepping control of high-order uncertain nonlinear systems that a funnel control scheme with uncertain dynamics 高阶不确定非线性系统的自适应反演控制

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298649

Gang Li, Yong Liu, Yuchen Li, Xiangwei Bu

{"title":"Adaptive back-stepping control of high-order uncertain nonlinear systems that a funnel control scheme with uncertain dynamics","authors":"Gang Li, Yong Liu, Yuchen Li, Xiangwei Bu","doi":"10.1109/CEECT50755.2020.9298649","DOIUrl":"https://doi.org/10.1109/CEECT50755.2020.9298649","url":null,"abstract":"For a class of high order nonlinear uncertain systems with uncertain dynamics, a novel adaptive funnel back-stepping control scheme is proposed to ensure the convergence of small overshoot of tracking error. Although the classical funnel performance control method can guarantee the transient performance of the system, the control strategy depends on the symbol of the initial tracking error, and the overshoot and convergence speed are difficult to control. Firstly, a new performance function which does not depend on the initial value of the tracking error is designed to constrain the tracking error. No matter what the tracking error is, it can ensure that the overshoot of the tracking error response process is small or even zero. Then, in order to facilitate the controller design, a new error conversion method is designed, which replaces the initial tracking error with the conversion error, and transforms the “constrained” system into an equivalent “unconstrained” system. Then, combined with back-stepping control theory, the adaptive back-stepping controller is designed. Through the stability analysis of the system, the semi global uniformly bounded stability of the closed-loop control system is guaranteed. Numerical simulation and experimental results verify the superior performance of the control method.","PeriodicalId":115174,"journal":{"name":"2020 International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115850050","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: 3

Dynamic State Estimation of Power System Considering Asynchronous Measurement 考虑异步测量的电力系统动态估计

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298587

Yanwei Xiao, Min Lu, Zhao Huang, Yanping Wang, Ling Lin, Chao Zhang

引用次数: 0

Analysis and Maximizing RF Harvesting System based on Antenna Shapes for Aviation Applications 基于天线形状的航空射频采集系统分析与优化

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298585

E. Ali, N. Yahaya, A. A. Al Assaf, Feras Alasali, Amitkumar Patel, Bilal Alqasem

引用次数: 1

Research on programmed operation of power grid equipment based on Natural Language Processing 基于自然语言处理的电网设备程控运行研究

2020 International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2020-12-01 DOI: 10.1109/CEECT50755.2020.9298689

Jing-hui Li, Qingsong Niu, Fujun Qi, Cong Liu, Li Man, Sheng Li, Kuijiao Chen

引用次数: 1