2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)最新文献_第2页

Research on multi-objective EV charging task sequence optimization modeling 多目标电动汽车充电任务序列优化建模研究

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00040

Zhou Kun, Zhang Bo, Gan Yeping, Bai Yunlong, Liu Huizhou, Zheng Yuanjie

{"title":"Research on multi-objective EV charging task sequence optimization modeling","authors":"Zhou Kun, Zhang Bo, Gan Yeping, Bai Yunlong, Liu Huizhou, Zheng Yuanjie","doi":"10.1109/EPCE58798.2023.00040","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00040","url":null,"abstract":"With the rapid increase in the number of Electric Vehicles (EVs), the disorderly access of a large number of EVs to the distribution network for charging will cause a certain degree of impact on the safe and economic operation of the distribution network, and may even cause problems such as load \"peak on peak\", node voltage crossing, excessive network loss, and deterioration of power quality. Many problems. Therefore, an effective charging strategy must be adopted to guide the EV charging in an orderly manner and eliminate the impact of EV disorderly charging on the grid. Even, the economy of distribution network operation can be significantly improved under the orderly charging control strategy.To this end, a multi-objective EV grid-connected charging and discharging optimization control strategy is proposed in this paper. Firstly, the EV orderly charging problem is described in detail and a mathematical model of EV orderly charging and discharging is established. Secondly, based on the traditional Greedy Random Adaptive Search Procedure (GRASP) algorithm, a hybrid GRASP-PR algorithm is formed to realize the EV orderly charging and discharging optimal control strategy, and with the objective of minimizing the operating cost of the distribution network and other conditions, a hybrid GRASP-PR algorithm based on The multi-objective EV charging task sequence optimization model based on the GRASP-PR hybrid algorithm is established with the objective of minimizing the operating cost of the distribution network. Finally, a simulation model of the distribution network system with grid-connected EV charging based on IEEE33 nodes is established, and the simulation results verify that the proposed multi-objective hybrid algorithm can achieve the optimization of EV charging in an orderly manner, which is beneficial to the safe and economic operation of the distribution network.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123939006","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

Black Start Scheme of Wind-storage Combined System Based on Virtual Synchronous Generator Control 基于虚拟同步发电机控制的蓄风联合系统黑启动方案

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00019

Hao Wang, Hongtao Wang

{"title":"Black Start Scheme of Wind-storage Combined System Based on Virtual Synchronous Generator Control","authors":"Hao Wang, Hongtao Wang","doi":"10.1109/EPCE58798.2023.00019","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00019","url":null,"abstract":"With a high proportion of wind power generations connected to the grid, wind power generation is expected to be a black-start source. This paper proposed a black start scheme based on virtual synchronous generator (VSG) control for wind-storage combined system. The energy storage inverter was transformed into a VSG with the secondary frequency regulation ability by improved frequency synchronous control (IFSC), and a conventional VSG controller was designed for the rotor side inverter of doubly fed induction generator. And a control mode switching device was designed for the energy storage in order to maintain the grid stability after black start. This paper built the model of wind-storage combined system on the Matlab/Simulink for black start simulation. The simulation results show that the maximum frequency deviation is 68.75% lower than the conventional control when the ancillary machines of wind turbines were restored. What's more, the maximum frequency deviation shall not exceed 0.12%, and the maximum voltage deviation shall not exceed 8% during the black start process and the controllers can realize no-error frequency adjustment. Finally, control mode switching device can smoothly switch IFSC to VSG. Thus, the effectiveness of the proposed black start scheme and controllers are verified.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115015261","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 Ship Network Security Assessment Model 船舶网络安全评估模型

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00013

Liu Xin

引用次数: 0

Potential assessment of electrical energy substitution in public buildings based on load decomposition 基于负荷分解的公共建筑电能替代潜力评估

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00035

Chen Ximing, Zhang Bo, Gan Yeping, Bai Yunlong, Tang Liang, Liang Xiaowei

{"title":"Potential assessment of electrical energy substitution in public buildings based on load decomposition","authors":"Chen Ximing, Zhang Bo, Gan Yeping, Bai Yunlong, Tang Liang, Liang Xiaowei","doi":"10.1109/EPCE58798.2023.00035","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00035","url":null,"abstract":"Public buildings have huge energy consumption but incalculable energy saving potential, and the application of monitoring their load characteristics to explore energy saving potential is promising. Non-intrusive load monitoring and decomposition, as an advanced application on the distribution side of smart grids in the big data environment, can mine users' electricity consumption behavior through power port information, but traditional algorithms mainly target home users and have problems such as poor power traceability and long training time. For this reason, the paper proposes a load decomposition model based on deep learning and migration learning for building users. Based on this load decomposition technique, a proportional model based on the load decomposition technique is proposed for estimating the total power consumption increment of public buildings after electrical energy replacement. Firstly, we analyze the energy consumption scenarios of public building users and propose the appliances that can be used for electrical energy replacement. A load decomposition model for such appliances is built based on the public data set to construct the proportional relationship between the actual electricity consumption of non-all-electricity users and the incremental amount of electricity replaced. Then, based on the proportional relationship and the actual electricity consumption of the majority of known users in public buildings, the total replacement electricity increment after electric energy substitution is estimated. Finally, the estimated effect was measured using actual natural gas usage. The results show that it is inexpensive to sample only a small amount of electricity data from public buildings, and the obtained proportional relationship can better estimate the regional electricity consumption increment caused by electricity substitution, which has good application value in the implementation of electricity substitution.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114739297","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

Second-order Consensus in Discrete-time Multi-agent Systems with Reference States 具有参考状态的离散多智能体系统的二阶一致性

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00045

Aiguo Tan, C. Ju, Yuping Yang, Chongyu Chen, Guobiao Jin

引用次数: 0

Design and Application of A Maintenance Training System based on Virtual Reality 基于虚拟现实的维修培训系统设计与应用

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/epce58798.2023.00023

Shengzhi Yuan, Jianguo Xu, Yuan Zhou, Jin Li

引用次数: 0

TLRNet: Tibetan Lip Reading Based on ResNet and BiGRU 基于ResNet和BiGRU的藏文唇读

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00048

Zhenye Gan, Xu Ding, Xinke Yu, Zhenxing Kong

引用次数: 0

Low-carbon scheduling of independent microgrid considering uncertainty of source and load sides 考虑源侧和负荷侧不确定性的独立微电网低碳调度

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00033

P. Wang

引用次数: 0

Influence of Fresh Air Change Rate on Energy Consumption of Office Buildings 新风换气率对办公建筑能耗的影响

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00032

Jinsong Song, Haoyu Jiang

{"title":"Influence of Fresh Air Change Rate on Energy Consumption of Office Buildings","authors":"Jinsong Song, Haoyu Jiang","doi":"10.1109/EPCE58798.2023.00032","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00032","url":null,"abstract":"This study provides a technical method for office building HVAC systems in hot-summer and cold-winter regions to use fresh air to bear part of the cooling load during transition seasons. The control algorithm for HVAC energy consumption based on the change of outdoor dry-bulb temperature with different ventilation times is also provided, which can reasonably utilize outdoor air to bear indoor cooling load and improve indoor air quality, significantly saving building energy consumption. For typical seasons, that is, early April to the end of May and early August to the middle of November, the energy savings vary with the change of ventilation times. This method cannot be used in summer and winter. The typical days in spring and autumn show that the more the ventilation times, the more the energy saving. Based on the experimental results, the function of the indoor HVAC power consumption changing with the ventilation times and outdoor temperature was fitted in the range of [-2, 37] °C, and this function can guide the setting of building operating conditions within the temperature range of [-2, 30] °C. According to the above changes, under the precise control for typical hot-summer and cold-winter cities, the simulation shows that this method can save 15.57% of the overall building energy consumption compared with normal HVAC operation.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159724","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

Recommendation Model of Graph Neural Network Based on Neighbor Aware Interaction 基于邻居感知交互的图神经网络推荐模型

2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE) Pub Date : 2023-04-01 DOI: 10.1109/EPCE58798.2023.00038

Chen Xing

{"title":"Recommendation Model of Graph Neural Network Based on Neighbor Aware Interaction","authors":"Chen Xing","doi":"10.1109/EPCE58798.2023.00038","DOIUrl":"https://doi.org/10.1109/EPCE58798.2023.00038","url":null,"abstract":"The personalized recommendation system plays a major role in various online services. In recent years, the graph learning based emerging research about recommendation systems has developed rapidly. Some scholars use graph neural network to formulate high-level connection between users and items to improve embedding. The relationship information between neighbor nodes implies the expression differences of diverse neighbors, and it can reflect the signal strength of item characteristics. However, most studies have not considered the difference in implicit relationships in diverse neighbors. In order to distinguish the importance of different neighbors, this paper proposes a neighbor aware interaction graph attention network (NAGAT) for recommending tasks. It uses a novel neighbor aware attention layer to calculate the similarity between each pair of neighbors, the contribution of each pair of neighbors in neighbor interaction is distinguished by allocating distinct neighbor aware attention weight for each neighbor. Then, interaction information of neighbor pairs is combined with the node representation aggregated through the graph attention network to generate a novel embedding representation. Several experimental researches were conducted on two public datasets in Yelp2018 and Amazon-books, and the results show that the proposed is 1.8%-2.0% higher compared to currently advanced methods.","PeriodicalId":355442,"journal":{"name":"2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123478909","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