2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献

Design and application of operation evaluation index system for spot electricity market 现货电力市场运行评价指标体系的设计与应用

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436911

Li Chang, Zhenhuan Chen, Qia Ding, Rongzhang Cao, Tumeng Fu

引用次数: 0

Reliability analysis of wind turbine combined TBM and CBM TBM与CBM组合风力机可靠性分析

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437137

Jiaqi Zhang, H. Su, Li Chen, Rui Yang

引用次数: 0

Current Loop Control Strategy of PMSM Based on Fractional Order PID Control Technology 基于分数阶PID控制技术的永磁同步电机电流环控制策略

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436899

Chaozhi He, Hejin Xiong, Zhangyou Shen

引用次数: 0

Cooling, Heating and Electrical Load Forecasting Method for Integrated Energy System based on SVR Model 基于SVR模型的综合能源系统冷热负荷预测方法

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436990

Yuting Yan, Zihao Zhang

{"title":"Cooling, Heating and Electrical Load Forecasting Method for Integrated Energy System based on SVR Model","authors":"Yuting Yan, Zihao Zhang","doi":"10.1109/ACPEE51499.2021.9436990","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436990","url":null,"abstract":"In order to further reduce environmental pressure and promote the integration of renewable generation, integrated energy system (IES) has become a promising way of energy consumption. The economic dispatch and optimal operation of the IES rely on accurate load forecasting. In this paper, a Support Vector Regression (SVR) based multiple load forecasting method for cooling loads, heating loads and electrical loads of integrated energy system is established. First, through Pearson correlation analysis, the correlation between cooling loads, heating loads and electrical loads are investigated. Then, a load forecasting model based on SVR is designed, and Particle Swarm optimization (PSO) is adopted to optimize model parameter setting. Electrical loads, heating loads, cooling loads, day type, and weather data are used as inputs in the prediction model. A case study on a realistic IES of a park in Yunnan Province is implemented to verify the proposed method. Comparing results of the proposed method with that of traditional models show that, the proposed model can effectively consider the coupling of power load, cooling load and heating load, and has better prediction accuracy.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120857891","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: 6

Electricity Price Forecasting Method Based on Quantum Immune Optimization BP Neural Network Algorithm 基于量子免疫优化BP神经网络算法的电价预测方法

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436865

Xuan Zhang, Qingxiang Hao, Wenjie Qu, Xingquan Ji, Yumin Zhang, Bo Xu

{"title":"Electricity Price Forecasting Method Based on Quantum Immune Optimization BP Neural Network Algorithm","authors":"Xuan Zhang, Qingxiang Hao, Wenjie Qu, Xingquan Ji, Yumin Zhang, Bo Xu","doi":"10.1109/ACPEE51499.2021.9436865","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436865","url":null,"abstract":"This paper presents electricity price forecasting method based on quantum immune optimization Back Propagation (BP) neural network algorithm. The prediction model of electric price can be constructed with BP neural network algorithm, however, the BP neural network is readily trapped in local optimal in the electricity price prediction. With this regard, based on the quantum immune optimization algorithm, a modified BP neural network price prediction method is proposed. A realistic New Zealand power company is used to test the proposed algorithm, the numerical results show that, compared the traditional BP neural network, the proposed quantum immune optimization BP algorithm has much higher accuracy in the prediction of electricity price. Thus, it is a better and more practical pricing prediction method and has better actual prediction effect. And it also demonstrates that this optimization algorithm not only greatly improves the accuracy of electricity price prediction, but also makes the prediction process faster and more efficient, which can effectively reduce errors and shorten the prediction period.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122495363","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

Low-voltage distribution network topology identification method based on characteristic current 基于特征电流的低压配电网拓扑识别方法

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437092

Xuanping Lai, Min Cao, Siyang Liu, Chenjun Sun

引用次数: 1

The Steady State Limits Application of 18-pulse Rectifier in Aircraft Radar Power Supply System 稳态限制18脉冲整流器在飞机雷达供电系统中的应用

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436992

Siqi Li, Dalian Wang, Congcong Li, Yingying Zhang

引用次数: 1

Design of adaptive dimming power control system for civil aircraft lightplates 民机灯板自适应调光功率控制系统设计

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9436871

Qian Li

引用次数: 0

Study on Output Voltage of Permanent Magnet Synchronous Generator under Fractional Order Control 分数阶控制下永磁同步发电机输出电压的研究

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437064

Zhangyou Shen, Hejin Xiong, Zhiqiang Zhang

引用次数: 1

An optimization method based on LM-GA for parameter identification of photovoltaic cell 基于LM-GA的光伏电池参数辨识优化方法

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) Pub Date : 2021-04-01 DOI: 10.1109/ACPEE51499.2021.9437110

Shiyezi Xiang, Lin Du, Chunlong Li, Yaping Li, Huizong Yu, Peilin Huang

{"title":"An optimization method based on LM-GA for parameter identification of photovoltaic cell","authors":"Shiyezi Xiang, Lin Du, Chunlong Li, Yaping Li, Huizong Yu, Peilin Huang","doi":"10.1109/ACPEE51499.2021.9437110","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437110","url":null,"abstract":"Smart sensors are the core of condition monitoring of power equipment. However, energy supply for sensors in complex electric power field is difficult and in the spotlight. Solar energy as an easily available energy is a good solution to this problem. Accurate identification of photovoltaic cell model parameters can ensure the subsequent stable energy supply. The purpose of this paper is to realize the accurate identification of photovoltaic cell model parameters, so as to serve the energy supply of monitor devices. Firstly, the basic circuit of photovoltaic panel energy supply is built. Secondly, the U-I characteristic curve of photovoltaic cell under different loads is measured. Thirdly, the equivalent parameter model of photovoltaic cell is constructed. Finally, the model parameters are accurately identified based on Levenberg Marquarelt (LM)-Genetic Algorithm (GA). LM algorithm is used for fast global calculation to determine the approximate range of global optimal solution, and then GA is used to further iterate within this range to obtain high-precision local extremum. The proposed method achieved a better fitting effect and results has higher precision in parameter identification of photovoltaic cell. Moreover, under the rated working condition, the errors between the identified parameters and the numerical values provided by the manufacturer are within ±5%. This paper presents an optimization algorithm combining LM and GA, which can accurately identify the parameters of photovoltaic model under different solar radiation levels, and provide strong technical support for the energy supply of sensors and other monitoring equipment.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129620159","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