2022 12th International Conference on Power and Energy Systems (ICPES)最新文献_第3页

Robust Control of Full Bridge Inverter Based on Improved High-Order Sliding Mode Controller 基于改进高阶滑模控制器的全桥逆变器鲁棒控制

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072535

Huaying Zhang, Yan Li, Zhenzi Wang, Jie Yang, Junwei Cao

引用次数: 0

An Intelligent Optimal Location Method for Booster Transformer of Offshore Wind Power System Based on GIS Geometric Algorithm 基于GIS几何算法的海上风电升压变压器智能优化定位方法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073146

Xiaojiang Guo, Xiao-song Pan, C. Sun, Dunwen Song, Kaixin Liu, Xiangtao Xiao, Xuetao Yang, Hegege Guan

{"title":"An Intelligent Optimal Location Method for Booster Transformer of Offshore Wind Power System Based on GIS Geometric Algorithm","authors":"Xiaojiang Guo, Xiao-song Pan, C. Sun, Dunwen Song, Kaixin Liu, Xiangtao Xiao, Xuetao Yang, Hegege Guan","doi":"10.1109/ICPES56491.2022.10073146","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073146","url":null,"abstract":"Offshore wind power is one of the most potential power generation methods in the field of renewable energy. The current method of booster station location based on manual experience cannot accurately consider various constraints, and it is difficult to achieve the optimization of submarine cable distance. In order to fill in the shortage of scientific location of offshore substations, an optimal location method of offshore wind power booster stations based on GIS geometric algorithm and grid segmentation is proposed. Based on the longitude and latitude coordinates of the upper fan in GIS, the public feasible area for the location of the booster station is intelligently obtained through geometric measurement and intersection calculation. Grid segmentation is conducted for the public feasible site selection area, and the shortest cable connection length is taken as the optimization objective to screen the optimal site of the wind power booster station. The GIS based optimization location technology of offshore wind power booster stations has laid a foundation for scientific and rapid optimization location and network adjustment of offshore wind power booster stations.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129499499","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 Data-Driven Scenario Screening Method Considering Peak Shaving and Reserve Contribution of Power Systems with High Penetration Renewable Energy 考虑可再生能源高渗透电力系统调峰和备用贡献的数据驱动情景筛选方法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072707

Honglin Chen, Zhuoming Deng, Zhengmin Zuo, Zhifei Guo, Zhihua Gao, Hao Yu

{"title":"A Data-Driven Scenario Screening Method Considering Peak Shaving and Reserve Contribution of Power Systems with High Penetration Renewable Energy","authors":"Honglin Chen, Zhuoming Deng, Zhengmin Zuo, Zhifei Guo, Zhihua Gao, Hao Yu","doi":"10.1109/ICPES56491.2022.10072707","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072707","url":null,"abstract":"Renewable generations are one of the most significant measures to achieve the goal of carbon emission peak and carbon neutrality. However, high penetration renewable energy results in massive scenarios and pressures heavily on the operation of power systems, due to its randomness and intermittence. This paper proposes a data-driven scenario screening (DDSS) method to figure out crucial scenarios which may lead to insufficiency of peaking shaving and reserve contribution of power systems and release the heavy burden of massive scenarios. First of all, massive long-term operation scenarios including loads, network topologies, and outputs of conventional units and renewable generations are provided from the control centers of power grids or generated by Monte Carlo method. Three types of scenario screening rules are then summarized into Types A, B, and C. Types A, B, and C are all considered leading to insufficiency of peaking shaving and reserve contribution. Types A and B present scenarios with demand peak and demand valley respectively, while Type C presents scenarios with rapid rise/decline in demand. Each type consists of four detailed screening rules. Predetermined number of crucial scenarios can be obtained in descending order by each rule. Furthermore, a flow is illustrated for subtle scenario screening. The number of crucial scenarios will be double, once potential operating risks such as wind/solar power limitation and load shedding are found. The scenario screening comes to an end if and only if no more potential operating risk exists. Finally, crucial scenarios are verified by calculating a series of evaluation indexes such as renewable energy penetration, unit ramp rate, and wind/solar power limitation. Case studies are implemented on a provincial power grid of the China Southern Power Grid to validate the efficiency of scenario screening method.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"11934 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129146832","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 the Selecting Closing Resistance Method of 1000 kV ac Filter Break Circuit Breaker 1000kv交流滤波断路器合闸电阻选择方法的研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072451

Xueyou Zhang, Xiangyu Dong, Peipei Fan, Wei Ruan, Yuxiang Chen, Pingping Han

{"title":"Study on the Selecting Closing Resistance Method of 1000 kV ac Filter Break Circuit Breaker","authors":"Xueyou Zhang, Xiangyu Dong, Peipei Fan, Wei Ruan, Yuxiang Chen, Pingping Han","doi":"10.1109/ICPES56491.2022.10072451","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072451","url":null,"abstract":"In UHVDC systems, AC filter circuit breakers need to be switched frequently to meet system operation mode and system load changes. When the AC filter circuit breaker switches the filter bank, it will produce severe closing inrush current and closing overvoltage, resulting in electrical shock and degradation of circuit breaker performance. In order to specifically analyze the closing characteristics of 1000kV AC filter circuit breaker, the paper first builds a simulation model of four-break circuit breaker, introducing the principle of closing resistance input, analyzing the inrush current and closing overvoltage waveforms of different types of filters. Then analyzes the influence of using different closing resistors on closing inrush current for HP(Hodrick-Prescott) type filters. The results show that when the closing resistance exits, a large closing inrush current will occur. Reducing the closing resistance value can effectively reduce the size of the closing inrush current. Considering the closing inrush current and closing overvoltage, using conventional closing operation, the closing resistance of HP24/36 filter circuit breaker is optional 600 ohm.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384784","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

Long Short-Term Memory Network PV Power Prediction Incorporating Extreme Extreme Gradient Boosting Algorithm 基于极值梯度提升算法的长短期记忆网络光伏发电功率预测

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073236

Xingnian Chen, Yalian Wu, Xieen He

{"title":"Long Short-Term Memory Network PV Power Prediction Incorporating Extreme Extreme Gradient Boosting Algorithm","authors":"Xingnian Chen, Yalian Wu, Xieen He","doi":"10.1109/ICPES56491.2022.10073236","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073236","url":null,"abstract":"The proportion of photovoltaic (PV) power generation to the total global power generation is increasing. Accurate prediction of PV power generation is crucial to the real-time dispatch of PV power generation. In response to the problems that traditional prediction modeling methods can overfit the situation and also have low prediction accuracy for complex and high-dimensional data, a long short-term memory (LSTM) PV power prediction model incorporating extreme gradient boosting (XGBoost) and attention mechanism is proposed. Firstly, the XGBoost and Pearson correlation coefficient method are used to feature select the data to remove the redundant and unimportant features; secondly, the attention mechanism is set to increase the weight of important features to enhance the model's understanding of features and feature values. The XGBoost-LSTM model is obtained for PV power prediction using trial-and-error method and cyclic selection method, and the experimental results show that the PV power prediction by this method is more efficient and accurate than the traditional LSTM and support vector machine methods.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121529745","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

Active Distribution Network Flexibility Evaluation Method Considering Flexibility Resource 考虑柔性资源的主动配电网柔性评价方法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072421

Juncheng Zhang, Jing Tan, Zhiwen Liu, Min Li, Yigang Tao, Tianlu Luo

引用次数: 0

Optimal Coordination of Distance Protection Considering Multiple Setting Groups Strategy Based on Sideline Current Addition Coefficient 基于副线电流附加系数的考虑多整定组策略的距离保护优化协调

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072933

Kangjie Ren, Yinhong Li

引用次数: 0

Research on Low-Carbon Economic Dispatch of Active Distribution Network Considering V2G and Demand Response 考虑V2G和需求响应的有功配电网低碳经济调度研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072682

Chen Bin, Zhang Zelong, Yang Yan

{"title":"Research on Low-Carbon Economic Dispatch of Active Distribution Network Considering V2G and Demand Response","authors":"Chen Bin, Zhang Zelong, Yang Yan","doi":"10.1109/ICPES56491.2022.10072682","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072682","url":null,"abstract":"With the increasing penetration of distributed renewable energy and flexible loads in the distribution network, the traditional distribution network is gradually transitioning to an active distribution network. Due to the vigorous development of new power system, the economic dispatch of active distribution network faces great challenges. Therefore, this paper introduces V2G technology while considering the carbon emission of the system, establishes an orderly charging and discharging model for electric vehicles and then builds demand response modeling based on transferable load and interruptible load, and then conducts second-order cone relaxation on the branch power flow constraints of the distribution network. Finally, With the goal of minimizing the dispatch cost for active distribution network, this paper proposes a low-carbon economic dispatch model for active distribution network considering V2G and demand response. The Case studies of IEEE 33-node power distribution system verifies that the proposed model can effectively reduce the dispatch cost, enhance the security of system operation and reduce carbon emission.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756331","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 Aggregation Motor Model Based on Statistical Synthesis Method 基于统计综合方法的聚合电机模型研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073011

H. Xue, He Gou, Yanjun Li, Y. Zhang, Tao Yue, Hu Cheng

{"title":"Research on Aggregation Motor Model Based on Statistical Synthesis Method","authors":"H. Xue, He Gou, Yanjun Li, Y. Zhang, Tao Yue, Hu Cheng","doi":"10.1109/ICPES56491.2022.10073011","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073011","url":null,"abstract":"With the continuous development of power system, the accuracy of load modeling is required to be higher and higher. Aggregated modeling of motors is very important for integrated load modeling. Due to the deficiency in traditional aggregation method that static loads and induction motors are assumed to be connected to the same bus, an aggregation method of load considering distribution network is presented. In this method, according to nodal voltage equation of distribution network, connection nodes were removed, while load nodes were retained. Then, according to the principle that active and reactive power losses were equivalent before and after aggregation, equivalent distribution network impedance was calculated with the retained nodes voltages and admittances of the reduced distribution network. Moreover, voltage of the fictitious bus was obtained with the voltage and injecting current of the power supply point and the equivalent distribution network. Furthermore, static loads and induction motors were displaced to the fictitious bus. Finally, according to the electromagnetic model, induction motors displaced to the fictitious bus were aggregated into a single one, and static loads were aggregated to a composite one. Because the distribution net-work impedance is considered, the aggregation model well preserves the characteristic of composite load model of distribution network. The active and reactive fitting errors are small. A case is also taken to validate that the pro-posed method can improve the simulation precision.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"20 13-14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133687575","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

Charging Behavior Analysis Based on BIRCH Clustering 基于BIRCH聚类的充电行为分析

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072610

Dong Yan, Chong-Yang Luo, Yulan Li, Bin Zhu, Miao-Long Yan, Shu-Li Yao

{"title":"Charging Behavior Analysis Based on BIRCH Clustering","authors":"Dong Yan, Chong-Yang Luo, Yulan Li, Bin Zhu, Miao-Long Yan, Shu-Li Yao","doi":"10.1109/ICPES56491.2022.10072610","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072610","url":null,"abstract":"Many charging pile statistics have been produced as a result of the increased popularity of electric vehicles and the ongoing growth in the number of charging stations. In order to obtain a typical charging user profile, this paper collects and cleans the charging data from 2021 to 2022 in Banan District, Chongqing. It then uses the BIRCH clustering method to group the charging power, SOC, and RFM data into one-dimensional, two-dimensional, and three-dimensional cluster groups. According to the clustering results, 75% of users in the Banan District charge at low and medium power levels. Some users exhibit overt signs of anxiety about their mileage or refuse to wait for charging. RFM clustering categorizes the level of user demand for charging in the Banan District into three types, demonstrating how frequently users charge there. Finally, this research offers several recommendations based on the three clustering traits. The user profile and recommendations can successfully aid distribution networks and operators in better understanding users, and they can serve as useful resources for creating better charge configuration plans and marketing campaigns.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132308360","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