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2022 9th International Forum on Electrical Engineering and Automation (IFEEA)最新文献

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Underwater fish detection in sonar image based on an improved Faster RCNN 基于改进Faster RCNN的声纳图像水下鱼类检测
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038226
Di Zhao, Bo Yang, Yinke Dou, Xiaojia Guo
{"title":"Underwater fish detection in sonar image based on an improved Faster RCNN","authors":"Di Zhao, Bo Yang, Yinke Dou, Xiaojia Guo","doi":"10.1109/IFEEA57288.2022.10038226","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038226","url":null,"abstract":"For the efficient detection of underwater fish, this paper proposes a target detection algorithm based on the improved Faster region-based convolutional neural network (iFaster RCNN). On one hand, the proposed algorithm combines feature pyramid network (FPN) with the original Faster RCNN for solving the multi-scale problem in target detection. On the other hand, in order to further enhance the detection accuracy and increase detection speed, Distance-Intersection-over-Union (DIoU) is used to replace Intersection-over-Union (IoU). Experimental results show that, with FPN and DIoU, iFaster RCNN has higher detection accuracy for underwater fish. For comparison purposes, VGG16, MobileNetV2, and ResNet50 netwoks are used as the backbone feature extraction networks of iFaster RCNN. Comparative results prove that ResNet50 performs better than the other two netwoks.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130608015","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: 1
Modeling customer purchasing behaviour considering time-of-use tariffs and demand response 考虑使用时间关税和需求响应的客户购买行为建模
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038098
Miao Liu, Xiaohe Liang, Jian Li, Jipeng Kuai, Shiyi Zhao, Xuan Hui
{"title":"Modeling customer purchasing behaviour considering time-of-use tariffs and demand response","authors":"Miao Liu, Xiaohe Liang, Jian Li, Jipeng Kuai, Shiyi Zhao, Xuan Hui","doi":"10.1109/IFEEA57288.2022.10038098","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038098","url":null,"abstract":"In the process of medium- and long-term time-of-trading, electricity consumers need to adjust their electricity purchase behavior according to their own characteristics in order to reduce their electricity costs and respond to the incentives of the power system. Therefore, this paper applies the theory of electricity demand elasticity and consumer psychology, considers the load characteristics of electricity users, and constructs a model of customers’ electricity purchasing behavior considering time-sharing tariff and demand response to study the optimization of electricity purchasing behavior of electricity users.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130621285","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
Study on Control Strategy of Cooling System for Oil Immersed Air-cooled Transformer 油浸式风冷变压器冷却系统控制策略研究
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038191
C. Yao, Liqing Liu, Junji Feng, Jufang Wei, Guangzhen Liu, Xin Zhang, Minghui Duan, He Zhang
{"title":"Study on Control Strategy of Cooling System for Oil Immersed Air-cooled Transformer","authors":"C. Yao, Liqing Liu, Junji Feng, Jufang Wei, Guangzhen Liu, Xin Zhang, Minghui Duan, He Zhang","doi":"10.1109/IFEEA57288.2022.10038191","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038191","url":null,"abstract":"The reliable operation of cooling system is a necessary condition to ensure the normal operation of transformer. In this paper, a reasonable design and accurate control strategy for the cooling system of oil immersed air-cooled transformer is proposed according to the shortcomings of the existing control methods for the cooling system. Based on the top oil temperature and load current of transformer, the winding hot spot temperature rise limit and the top oil temperature rise limit of the transformer are considered in the strategy. At the same time, the temperature constraint to the load current control and the load change rate control to the fan are increased. The strategy mainly includes the top oil temperature control module, temperature constrained load current control module and temperature constrained load change rate control module. The implementation of the control strategy can avoid insufficient cooling when the transformer is under heavy load, and excessive cooling when the load is low. The operating efficiency of the cooling system is effectively improved.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114202407","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
Control strategies for DC microgrid energy storage systems under SOC balancing objectives SOC平衡目标下的直流微网储能系统控制策略
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038133
Jiefu Mei
{"title":"Control strategies for DC microgrid energy storage systems under SOC balancing objectives","authors":"Jiefu Mei","doi":"10.1109/IFEEA57288.2022.10038133","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038133","url":null,"abstract":"An improved SOC equalization sag control strategy is proposed to improve the equalization rate of the battery SOC for distributed energy storage subsystems of DC microgrids due to the overcharge or over-discharge problem caused by SOC differences. Firstly, the sag factor of the energy storage device is incorporated into the nested inverse tangent function of the SOC, which is used to improve the control characteristics. Secondly, the design of a variable acceleration factor is provided to achieve the equalization speed regulation when the SOC difference is small. After that, the corresponding voltage equalizer is designed to reduce the fluctuation of bus voltage with reference to the consistency control principle. Finally, a simulation model of the energy storage system and SOC equalization control strategy is built for verification and testing. The results show that the designed control strategy significantly improves the equalization characteristics of the SOC and effectively ensures the power balance and voltage stability in the micro-grid energy storage system with excellent control characteristics.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114619519","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 the measurement method of primary equipment technical transformation investment demand based on the statistical analysis of equipment scrap time probability 基于设备报废时间概率统计分析的一次设备技改投资需求计量方法研究
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038163
Yabo Shen, Qidan Xu, Shuang Li, Yaode Huang
{"title":"Research on the measurement method of primary equipment technical transformation investment demand based on the statistical analysis of equipment scrap time probability","authors":"Yabo Shen, Qidan Xu, Shuang Li, Yaode Huang","doi":"10.1109/IFEEA57288.2022.10038163","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038163","url":null,"abstract":"In recent years, with the change of the operating environment of power grid enterprises and the increasing investment in power grid construction, the stock of fixed assets of power grid enterprises has been greatly increased, and the technical transformation expenditure of fixed assets shows a trend of increasing year by year. Primary equipment of power grid is an important material guarantee to maintain and improve the production capacity of power grid enterprises, and accounts for a large proportion of the total assets. Among them, technological transformation investment is an important factor affecting the operating results and cash flow of enterprises. Most domestic power grid enterprises rely on historical experience and the application results of grass-roots units to make technological transformation and repair decisions and distribution, which is difficult to accurately grasp or predict the scale of future technological transformation projects, and cannot effectively measure the matching situation between the investment scale and the scale and status of assets. Therefore, it is of great practical significance to carry out the calculation and research of the power grid primary equipment technical transformation investment demand to improve the asset operation and peacekeeping management level of the power grid enterprises.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121635774","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
Design and research on comprehensive evaluation index of China regional electricity market 中国区域电力市场综合评价指标设计与研究
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038006
Yuanrui Hong, Fubin Liu, Zhongyang Chen, Meng Zhang
{"title":"Design and research on comprehensive evaluation index of China regional electricity market","authors":"Yuanrui Hong, Fubin Liu, Zhongyang Chen, Meng Zhang","doi":"10.1109/IFEEA57288.2022.10038006","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038006","url":null,"abstract":"In accordance with the national requirements for comprehensively deepening reforms and market construction, China needs to strengthen the construction of a unified national electricity market system, accelerate the improvement of market mechanisms, and promote market development and innovation. Efforts should be made to build a market environment in which market entities compete on an equal footing, free choice, free flow of power resources, and optimal allocation. In order to evaluate the operation status of China’s power market, the representative power market in East China is selected as an example for specific research and analysis. This paper proposes a comprehensive index to quantify the social welfare situation in East China. A lot of market transaction data is calculated and quantified into indicators, which can more intuitively reflect the pros and cons of market operations in this region. The calculation method and the acquisition method of the index data are used to analyze the development status and characteristics of the electricity trading market in East China.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396807","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
Short-term Wind Speed Prediction Based On Quadratic Decomposition Improved Particle Swarm Optimization Extreme Learning Machine 基于二次分解改进粒子群优化极限学习机的短期风速预测
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038229
Chenchen Zhai, Hanlin Li
{"title":"Short-term Wind Speed Prediction Based On Quadratic Decomposition Improved Particle Swarm Optimization Extreme Learning Machine","authors":"Chenchen Zhai, Hanlin Li","doi":"10.1109/IFEEA57288.2022.10038229","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038229","url":null,"abstract":"An empirical mode decomposition (EMD)-variational mode decomposition (VMD) quadratic decomposition, particle swarm optimization (PSO)-extreme learning machine (ELM) based short-term wind speed prediction model is proposed. EMD is first used to decompose the non-stationary series into multiple intrinsic mode functions (IMFs). The complexity of each mode component is measured using the sample entropy (SE), the high frequency subsequence is decomposed again using VMD. The PSO-ELM prediction is performed separately for each high frequency sequence after the secondary decomposition and the original low frequency sequence, the predicted value of the sum component is added at last. By predicting the U.S. national wind power plant data, the experimental results prove that the model constructed in this paper has a better prediction effect compared with other models, further improves the prediction accuracy.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122277108","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
Fault Diagnosis of Oil-immersed Transformer Based on Improved Seagull Optimization Algorithm to Optimize Wavelet Neural Network 基于改进海鸥优化算法的小波神经网络油浸变压器故障诊断
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038193
Jingou Wang, Yafeng Shan, H. Fu
{"title":"Fault Diagnosis of Oil-immersed Transformer Based on Improved Seagull Optimization Algorithm to Optimize Wavelet Neural Network","authors":"Jingou Wang, Yafeng Shan, H. Fu","doi":"10.1109/IFEEA57288.2022.10038193","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038193","url":null,"abstract":"Aiming at the problems that the fault diagnosis accuracy of oil-immersed transformers in power systems is low and the diagnosis results are difficult to cover the entire transformer. A new fault diagnosis algorithm is proposed. ISOA is used to improve the extraction effect of fault data features, and WNN algorithm is used to realize the fault information classification and prediction. The fault diagnosis application results show that. The performance test results of the two algorithms are excellent, and the correct rate of fault information feature extraction is 94.65%, which is better than other algorithms. Predict and analyze the failure to reduce the difficulty of maintenance by technicians. The research content will effectively solve problems such as fault diagnosis of oil-immersed transformers, and has great value for the development of power systems.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127915639","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
An Optimization Method for Reducing the Sub-module Capacitor Voltage Ripple Amplitude of Hybrid MMC 降低混合MMC子模块电容器电压纹波幅值的优化方法
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10037581
Zhen Yang, Xin Li, Wen Jiang, Hanyoung Bu
{"title":"An Optimization Method for Reducing the Sub-module Capacitor Voltage Ripple Amplitude of Hybrid MMC","authors":"Zhen Yang, Xin Li, Wen Jiang, Hanyoung Bu","doi":"10.1109/IFEEA57288.2022.10037581","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10037581","url":null,"abstract":"The hybrid Modular Multilevel Converter (MMC) composed of Full-Bridge Sub-Modules (FBSMs) and Half-Bridge Sub-Modules (HBSMs) can cause excessive voltage fluctuation of sub-modules during the over-modulation operation. This paper proposes an optimization method to reduce the amplitude of capacitor voltage ripple by adjusting the modulation index. Firstly, the mathematical relationship between Sub-Modules and the modulation index is deduced. Then, according to the change of the sub-module capacitor energy in the fundamental wave cycle, the functional relationship between the capacitor voltage ripple amplitude and the modulation index and power factor is constructed. At the same time, the FBSM accounts for 2/3 of the system, and the power factor is 0.95 as an example to optimize the modulation index and reduce the sub-module ripple amplitude. Finally, a simulation is built on PSCAD/EMTDC to verify the effectiveness of the sub-module modulation analysis and optimization method. The results show that the voltage fluctuation is reduced by 5.837% after the optimization, and the voltage unbalance between the HBSM and FBSM is reduced to 2/5 of that before the optimization. Among the three control strategies, the proposed method is more effective in reducing voltage fluctuation.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127957980","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: 1
Look-Ahead Power Grid Dispatch Method Based on A2C Algorithm 基于A2C算法的电网前瞻调度方法
2022 9th International Forum on Electrical Engineering and Automation (IFEEA) Pub Date : 2022-11-04 DOI: 10.1109/IFEEA57288.2022.10038117
Peiyao Yu, Tianwei Liu, Hao Tang, Daohong Fang
{"title":"Look-Ahead Power Grid Dispatch Method Based on A2C Algorithm","authors":"Peiyao Yu, Tianwei Liu, Hao Tang, Daohong Fang","doi":"10.1109/IFEEA57288.2022.10038117","DOIUrl":"https://doi.org/10.1109/IFEEA57288.2022.10038117","url":null,"abstract":"With the rapid advancement of new power system construction, the uncertainty of power grid operation mode is increasing, the complexity of short-time optimization decision increases rapidly, and the type and number of dispatching objects are growing exponentially. Current power grid dispatching schedules based on physical models have some problems, such as slow calculation speed, long time consumption and insufficient adaptability to cope with multiple uncertain scenes. In this study, we propose to use model-free deep reinforcement learning method to carry out research on look-ahead dispatching of power grids. Firstly, we describe the look-ahead dispatching model and establish a look-ahead economic dispatching model of power grids considering operational safety and operational efficiency, then a neural network is used to parametrically represent the policy of the power grid and the A2C algorithm is used to learn the parameterized policy. The proposed method is validated by using the IEEE 30 bus system with wind farms as an example.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132682547","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
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