2022 4th International Conference on Power and Energy Technology (ICPET)最新文献_第8页

Optimal Economic Dispatch of Microgrid With Battery Energy Storage Considering Uncertainty of Renewable Generation 考虑可再生能源发电不确定性的电池储能微电网最优经济调度

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918463

Dan Yang, Chuan He, Tengxin Wang, Min Zhang

引用次数: 1

Analysis of Response Characteristics of Doubly Fed Induction Generator in Electromechanical Oscillation 双馈感应发电机在机电振荡中的响应特性分析

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918384

Xiaoqiang Wei, Feng Qi, Wenbin Wu, Deyou Yang

引用次数: 0

Coordinated Economic Dispatch of Wind-Photovoltaic-Thermal-Storage System Considering the Environmental Cost 考虑环境成本的风-光电-蓄热系统协调经济调度

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918519

Chao Wang, Haibo Zhao, Yao Wang, Zhong Wu, Zeyuan Shen, Yan Liang, Zhe Ji, Liang Tian

引用次数: 0

Abnormal Wind Speed Data Recognition Based on Fast R-CNN 基于Fast R-CNN的异常风速数据识别

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918355

Kun Jia, Guoqing Wang, Wenming Li, Fang Tong, Heng Zhang, Yu Hu

引用次数: 0

Unified Power Flow Calculation for Multi-terminal Direct Current (MTDC) Considering Droop Control and Modulation Index 考虑下垂控制和调制指标的多端直流统一潮流计算

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918417

Xuekui Wang, Junqiang Zhang, Yu Sun, Jiufeng He

{"title":"Unified Power Flow Calculation for Multi-terminal Direct Current (MTDC) Considering Droop Control and Modulation Index","authors":"Xuekui Wang, Junqiang Zhang, Yu Sun, Jiufeng He","doi":"10.1109/ICPET55165.2022.9918417","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918417","url":null,"abstract":"Power flow calculation of AC/DC hybrid power grids with multi-terminal voltage source converters (VSC-MTDC) is the basis for stable operation of hybrid power grid. This paper incorporates different VSC control strategies into the power flow, and considers adaptive droop control coefficients, modulation index as variables of power flow model. Then droop coefficient value and modulation of VSC under different states of hybrid power grid are obtained. The article establishes direct relation between VSC control parameters and output power, through transferring the circuit of VSC stations which connects to AC power grid. It unifies the power flow calculation methods of the VSC-MTDC in hybrid power grid under various control strategies. In order to prevent the VSC modulation index (MI) from exceeding the limit, the modulation of VSC as a variable of power flow equation can be obtained from power flow results. MI value can be analyzed through power flow to avoid overmodulating of VSC. Finally, an example verifies the validity of the model and fast convergence of the method.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115285827","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 Convenient Temperature Estimation Method for Half-Bridge of RC-IGBT with One Monitoring Unit 一种方便的RC-IGBT半桥温度估算方法

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918230

Yanyong Yang, Z. Shan, Xiaofeng Ding, Pinjia Zhang

引用次数: 0

Research on Market Clearing Mechanism for Multi-Type Generators Considering Carbon Cost 考虑碳成本的多型发电机组市场出清机制研究

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918486

S. Qiao, Jingwen Cheng, Meng Ni, Beibei Wang

{"title":"Research on Market Clearing Mechanism for Multi-Type Generators Considering Carbon Cost","authors":"S. Qiao, Jingwen Cheng, Meng Ni, Beibei Wang","doi":"10.1109/ICPET55165.2022.9918486","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918486","url":null,"abstract":"Market clearing price considering carbon cost will be an important market means to promote the development of low-carbon economy. However, different types of fuel generators have different consumption characteristics and carbon emission characteristics. Thermal power units should pay different price in carbon market, so they have various carbon cost rather than the equivalent carbon cost as in the previous research. Firstly, this paper studies the mechanism of carbon emission allowances and the future development of carbon market based on China’s latest carbon market policy. Then the carbon cost is incorporated into the cost model of various thermal power units, and a multi-type energy transaction model considering the carbon cost of diverse generators is established. Locational marginal electricity price (LMEP) and carbon price (LMCP) are obtained. Finally, the simulation was carried out in the modified PJM-5 node power system. It proves that, complex locational marginal price will increase due to the additional carbon cost of thermal power units, and the clearing model in this paper will improve the utilization rate of low carbon emission units. In addition, with the development of low-carbon economy, the LMCP will gradually increase, promoting the development of renewable energy.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126900818","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

Research on Refinement Modeling of Transmission Lines' Meteorological Risks and Online Early Warning and Defense Strategy of Meteorological Disasters 输电线路气象风险精细化建模及气象灾害在线预警防御策略研究

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918236

Lu Ming, Guo Zhimin, Meng Gaojun, Yuan Sikun, Li Yun, Lu Yang

引用次数: 0

A Novel Deep Learning Fusion Model for Probabilistic Prediction of Photovoltaic Power 一种新的光伏发电概率预测深度学习融合模型

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918382

Haodong Du, Xiping Ma, Rong Jia

{"title":"A Novel Deep Learning Fusion Model for Probabilistic Prediction of Photovoltaic Power","authors":"Haodong Du, Xiping Ma, Rong Jia","doi":"10.1109/ICPET55165.2022.9918382","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918382","url":null,"abstract":"When a high percentage of photovoltaic power is connected to the power system, the volatility and non-smoothness of the photovoltaic power output can seriously affect the safe and stable operation of the power system. Accurate PV power prediction is of great importance to the safe and economic operation of the power system and to the dispatch of the power system. PV power probability interval prediction can effectively quantify the uncertainty of PV power prediction, which can provide more comprehensive information for power system decision makers compared to traditional point prediction models and help power system risk control and decision making. To address the shortcomings of low prediction accuracy of a single model, a CNN-BiLSTM fusion prediction model is constructed based on convolutional neural network (CNN) and bi-directional long and short-term memory neural network (BiLSTM) in this paper. Finally, the quantile regression model and kernel density estimation method are used to obtain reliable probability interval prediction results. Simulations were carried out using PV power data under different weather types and compared with other probabilistic interval prediction models based on a variety of evaluation metrics. The results show that the QR-CNN-BiLSTM PV power output probability prediction model performs better.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"174 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126063240","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

Research on Optimized Carrier-Based AZSPWM Strategy to Reduce Common-Mode Voltage Frequency and Prevent Overvoltage 降低共模电压频率和防止过电压的优化载波AZSPWM策略研究

2022 4th International Conference on Power and Energy Technology (ICPET) Pub Date : 2022-07-28 DOI: 10.1109/ICPET55165.2022.9918451

Zhan Gao, Lixin Wang, Zhida Zhou, Chengfei Geng, Xuanqin Wu, Pengkun Sun

引用次数: 0