2022 5th International Conference on Renewable Energy and Power Engineering (REPE)最新文献_第6页

A Hierarchical Classification Method for Type II Appliance Recognition in NILM 基于NILM的ⅱ类家电识别的层次分类方法

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948813

Zhaoqing Zhang, F. Shi, Yujiao Liu, Honghua Yan

引用次数: 0

Research on Internationalization Path of Integrated Energy Service Standards 综合能源服务标准国际化路径研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9950047

Chengyi Xu, M. Zhong, Dezhi Li, Yongbo Yang, Xu Zhu, Jun Yang, Xveneng Su, Lu Jin

引用次数: 0

A Modified Positive Output Super-Lift Luo DC-DC Converter with Improved Voltage Boost Ability 具有改进升压能力的改进正输出超升力Luo DC-DC变换器

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949453

Saman A. Gorji, H. Gholizadeh

引用次数: 0

An Evaluation Index System Suitable for Operation and Management of Distribution Network Automation System 一种适合配电网自动化系统运行管理的评价指标体系

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948715

Yan Zhang, Pengcheng Zhang, Jie Wang, Fei Zheng, Yilin Wei, Yu He, Na Rong

引用次数: 1

Modeling of Medium and Long-term Transaction Behavior of Generators Based on Bayesian Network 基于贝叶斯网络的发电机组中长期交易行为建模

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9950015

Chaoyang Yuan, Chuhao Wang, Zheng Zhang, Xuguang Zhang, Tianran Li

{"title":"Modeling of Medium and Long-term Transaction Behavior of Generators Based on Bayesian Network","authors":"Chaoyang Yuan, Chuhao Wang, Zheng Zhang, Xuguang Zhang, Tianran Li","doi":"10.1109/REPE55559.2022.9950015","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9950015","url":null,"abstract":"With the advance of the new electricity reform, the annual planned electricity quantity of China's electric power system is gradually replaced by medium and long term transaction electricity quantity. Regardless of the electricity market participants of the medium and long term trading the imbalance of the uncertainty of market behavior, capacity, or trading results randomness factors such as power grid operation mode of the unexpected, results in uneven distribution of tidal current and power grid operation safety margin decline, increased the complexity of the system operation arrangement, may lead to serious power system security. Therefore, based on the Dynamic Simulation Platform for Macro-energy Systems, this paper develops the application of electricity market transaction Simulation based on the hybrid Simulation method of combining computer agent model and experimental economics. Combined with statistical analysis, causality analysis and behavior analysis three research paradigms to analyze the medium and long term trading behavior of power producers. Firstly, the key driving factors of power producers' trading behaviors in the electricity market are explored by combining expert knowledge, prior knowledge and relevant literature. Based on this, a proxy model of trading behaviors with the same distribution characteristics as real participants' trading behaviors is established by using Bayesian network model, and its validity is verified.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123380137","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

Anomaly Detection Method of Unknown Protocol in Power Industrial Control System Based on RNN 基于RNN的电力工业控制系统未知协议异常检测方法

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9950033

Wen Wang, Bo Zhang, Zongchao Yu, Xiaoyi Gao

{"title":"Anomaly Detection Method of Unknown Protocol in Power Industrial Control System Based on RNN","authors":"Wen Wang, Bo Zhang, Zongchao Yu, Xiaoyi Gao","doi":"10.1109/REPE55559.2022.9950033","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9950033","url":null,"abstract":"The power industrial control system contains a large number of communication protocols. These protocols lack security consideration at the beginning of the design, which makes them face the risk of cyber attacks. Therefore, the anomaly detection of protocols plays an important role in improving the active defense capability of the power industrial control system. With the increasing number of private protocols, traditional methods based on protocol depth parsing cannot perform anomaly detection for unknown protocols. In this paper, we propose an anomaly detection method for unknown protocol in power industrial control system based on Recurrent Neural Network (RNN). Firstly, extract the payload of power industrial control traffic in application layer, and preprocess each field of the payload; Secondly, input the preprocessed field values as the feature quality to the built RNN model for training; Lastly, use the trained model for unknown protocol anomaly detection. The traffic data collected by the real substation is used for simulation. The experimental results show that the method in this paper can effectively detect the abnormality of unknown protocols, and has high accuracy and low false alarm rate. At the same time, it has significant advantages when compared with traditional machine algorithms.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248994","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

Rolling Prediction Method of Input Wind Power of Wind Turbine Generators in Wind Farm 风电场风力发电机组输入功率滚动预测方法

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948844

Xinyi Shen, Yuqing Jin, Ping Liu, Mengtian Xu, Tongxin Chen, P. Ju

{"title":"Rolling Prediction Method of Input Wind Power of Wind Turbine Generators in Wind Farm","authors":"Xinyi Shen, Yuqing Jin, Ping Liu, Mengtian Xu, Tongxin Chen, P. Ju","doi":"10.1109/REPE55559.2022.9948844","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9948844","url":null,"abstract":"The power system's inertia and capability of frequency regulation decrease as the proportion of renewable energy generation in the system rises. The current system includes a significant amount of wind power generation, and the contribution of wind power to frequency control has a significant impact on the frequency stability of the power grid. The ability of wind turbine generators to regulate frequency is significantly impacted by variations in wind speed. To accurately evaluate the frequency response capability of wind power generation, it is necessary to predict the change in wind speed or wind power after the wind turbine generator starts the frequency response. Because the wind speed measured by the wind turbine generator is not accurate, this paper uses accurate power measurement data to represent the change in wind power. In this paper, a rolling prediction method for the power of downwind turbines in a wind farm is proposed using spatial correlation. The future power curves of the downwind turbines are obtained by weighting and summing the power curves of several upwind turbines while taking into account time lags. The validity of the method is verified using measured data from an actual wind farm. The prediction results of the power of wind turbine generators can provide a basis for rolling evaluation of the wind farm's frequency response capability at different moments.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125095986","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

Optimization Model and Calculation Method for Thermal Stability Limit of Transmission Sections 输电断面热稳定极限优化模型及计算方法

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949336

X. Ye, Gan Li, Tong Zhu, Biao Wang, Jian Gao

引用次数: 0

Research on Dynamic Pricing Scheme and Compensation Mechanism of 5G Energy Storage Participating in Power Grid Collaborative Dispatching 5G储能参与电网协同调度的动态定价方案及补偿机制研究

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9949253

Cheng Xin, Siqi Chen, Yaqiong Liu

{"title":"Research on Dynamic Pricing Scheme and Compensation Mechanism of 5G Energy Storage Participating in Power Grid Collaborative Dispatching","authors":"Cheng Xin, Siqi Chen, Yaqiong Liu","doi":"10.1109/REPE55559.2022.9949253","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9949253","url":null,"abstract":"This study focuses on the dynamic pricing strategy design of 5G energy storage system participating in the interaction of power grid system. First, the incremental cost of 5G energy storage system participating in power grid cooperative dispatching is analysed, and the comprehensive benefits of 5G energy storage system participating in power grid cooperative dispatching are obtained by comparing the cost changes in independent and collaborative modes. Second, build G base stations grid energy storage system to participate in cooperative cost-benefit model of power grid company, from the perspective of the power grid companies, 5G base stations grid energy storage system to participate in cooperative expected earnings, combined with the incremental cost analysis, using the method of game equilibrium, research covers the grid, and the 5G operators of various main dynamic pricing model and revenue sharing model, Build a sustainable capacity in multi-agent dynamic pricing scheme and compensation mechanism, through the example analysis of 5G storage by participating in the interactive operation, to some extent, can reduce the operation cost of 5G base stations, at the same time reduce the grid peak valley, flexible given to promote renewable energy, has good comprehensive benefits.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127223014","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

Optimization of System Configuration and Production Simulation for On-grid Green Hydrogen Projects 并网绿色氢项目系统配置优化与生产仿真

2022 5th International Conference on Renewable Energy and Power Engineering (REPE) Pub Date : 2022-09-28 DOI: 10.1109/REPE55559.2022.9948766

Siyu Zhang, Chunming Wang, Rui Chen, Suxiu Li, Lin Liu, Hongcai Dai

{"title":"Optimization of System Configuration and Production Simulation for On-grid Green Hydrogen Projects","authors":"Siyu Zhang, Chunming Wang, Rui Chen, Suxiu Li, Lin Liu, Hongcai Dai","doi":"10.1109/REPE55559.2022.9948766","DOIUrl":"https://doi.org/10.1109/REPE55559.2022.9948766","url":null,"abstract":"Green hydrogen produced from renewable energy through electrolysis is regarded as complementary to electricity, which could help decarbonize sectors that are hard to electrify. Besides, electrolytic hydrogen can serve as an interface and build synergy between different sectors and energy networks. Recently, many demonstration projects, which are normally composed of power generation units, energy storage units and electrolysers, are in the phase of planning and construction. Optimization of the system configuration and the power supply plan are essential elements to reduce the cost of green hydrogen and increase its economic competitiveness. In this paper, an optimization planning model for on-grid green hydrogen projects embedded with the function of production simulation is presented. Then, two case studies are carried out based on the proposed model. One represents green hydrogen projects in the northwestern area with plentiful renewable resources, relatively lower electricity prices and smaller price differences between peak and valley period. The other represents the ones in the southeastern area with relatively higher electricity prices and bigger peak-valley price differences. In each case study, the system configuration is optimized considering the photovoltaic (short as PV) and wind power output characteristics in the local area. Furthermore, the power supply plan, including when to use self-built power plants and when to use power from the grid is also optimized and analyzed. At last, specific suggestions are summarized and proposed for green hydrogen demonstration projects, which could provide important references for the future planning.","PeriodicalId":115453,"journal":{"name":"2022 5th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129804627","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