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2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)最新文献

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Research on Wind Power Forecasting Error Based on Gaussian Mixture Distribution Model 基于高斯混合分布模型的风电功率预测误差研究
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403055
P. Yan, Min Shi, Tieqiang Wang, Rui Yin, Yifeng Wang
{"title":"Research on Wind Power Forecasting Error Based on Gaussian Mixture Distribution Model","authors":"P. Yan, Min Shi, Tieqiang Wang, Rui Yin, Yifeng Wang","doi":"10.1109/AEEES51875.2021.9403055","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403055","url":null,"abstract":"In order to effectively reduce the influence of wind power uncertainty on the power grid and improve the safety of power system operation, it is necessary to carry out fine modeling of wind power forecasting error. Based on the actual wind farm operation data, this paper proposes a generalized Gaussian mixture model to describe the distribution characteristics of its forecasting errors, and uses an improved expectation maximization (EM) algorithm to solve the model parameters. The model can accurately describe the multi-peak and tailing in wind power forecasting errors and has good fitting effect. Finally, an example analysis is carried out based on the actual wind farm data, and compared with the commonly used normal distribution and t Location-Scale distribution models, which proves the effectiveness of the proposed model.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115615118","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
Research on Dynamic Reconfiguration of Distribution Network with High Penetration of DG 高DG渗透率下配电网动态重构研究
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403050
Weiming Liu, Yi Lin, Shenxi Zhang, Qian Chen, Haozhong Cheng
{"title":"Research on Dynamic Reconfiguration of Distribution Network with High Penetration of DG","authors":"Weiming Liu, Yi Lin, Shenxi Zhang, Qian Chen, Haozhong Cheng","doi":"10.1109/AEEES51875.2021.9403050","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403050","url":null,"abstract":"Increasing penetration of DG brings many uncertain factors to the operation of the distribution network, which will increase difficulties for the recovery of power supply after the distribution network fault happens. Considering the real-time load demand and the random output changes of DG, this paper proposes a dynamic network reconfiguration method for distribution network fault recovery under high penetration of DG. First, a dynamic network reconfiguration model for distribution network fault recovery is established. Then, by introducing intermediate variables, a reasonable second-order cone relaxation is performed on the dynamic reconfiguration model. Third, the principle of dynamic islanding partition is introduced to coordinate with dynamic network reconfiguration. Finally, case studies are carried out on the IEEE 33-bus distribution network to illustrate the effectiveness of the proposed method.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115779198","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: 4
Multi-regions Bundled Planning of Wind Farm, Thermal, Energy Storage with Renewable Energy Consumption 风电场、热能、蓄能与可再生能源多区域捆绑规划
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403194
S. Ma, Liu Lu, Heng Zhang, Haozhong Cheng, Xiaohu Zhang, Jianzhong Lu
{"title":"Multi-regions Bundled Planning of Wind Farm, Thermal, Energy Storage with Renewable Energy Consumption","authors":"S. Ma, Liu Lu, Heng Zhang, Haozhong Cheng, Xiaohu Zhang, Jianzhong Lu","doi":"10.1109/AEEES51875.2021.9403194","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403194","url":null,"abstract":"Renewable energy and renewable energy consumption is vital in enhancing carbon neutral worldwide. However, present research on multi-regions bundled planning often focus on the aspects of wind and thermal bundled power system planning and energy storage, etc. Research on multi-regions bundled planning of wind farm, thermal power, energy storage with renewable energy consumption is scarce. This paper first introduces indices of bundle proportion and wind power adequacy in transmission expansion planning (BWT-STEP) model which takes into account consumption ratio and energy storage. Then relevant BWT-STEP model and difference of involving energy storage in sending end is innovated. Finally, validity of the proposed model is verified by a modified two-regional RTS-24 system, and the results indicate that the BWT-STEP model is effective for power system planning studies.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115927904","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
Regional Wind Power Forecasting Based on Hierarchical Clustering and Upscaling Method 基于层次聚类和上尺度方法的区域风电预测
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403004
Ke Wang, Yao Zhang, Fan Lin, Yang Xu
{"title":"Regional Wind Power Forecasting Based on Hierarchical Clustering and Upscaling Method","authors":"Ke Wang, Yao Zhang, Fan Lin, Yang Xu","doi":"10.1109/AEEES51875.2021.9403004","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403004","url":null,"abstract":"For a long time, the world has been committed to optimizing the energy structure to reduce carbon emissions, so that renewable energies, for example wind power, have been widely integrated into power system. A large number of random and fluctuating wind power makes the system bear more and more risks, which has caused the dispatching department to pay increasing attention to regional wind power output. Although the upscaling method is widely used to predict regional wind power output, it still has shortcomings. This paper proposes a regional wind power prediction based on hierarchical clustering and upscaling method. This approach uses a greedy algorithm to search for the optimal number of sub-regions. Finally, the effectiveness of the proposed forecasting approach has been verified on real-world data.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114680762","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
A Joint Planning of DG and Distribution Network Model Considering Network Reconfiguration 考虑网络重构的DG和配电网联合规划模型
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403201
Y. Ge, Wenhao Gao, Yuxi Hu, Mingqiang Wang, Liqun Han, Baoyu Zhang, Tong Zhou
{"title":"A Joint Planning of DG and Distribution Network Model Considering Network Reconfiguration","authors":"Y. Ge, Wenhao Gao, Yuxi Hu, Mingqiang Wang, Liqun Han, Baoyu Zhang, Tong Zhou","doi":"10.1109/AEEES51875.2021.9403201","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403201","url":null,"abstract":"The rapid development of distributed generation (DG) in distribution network challenges the traditional distribution network planning method. In this paper, a new distribution network planning method is proposed. The proposed model optimizes line capacities, DGs' locations and capacities, and considering network reconfiguration simultaneously. Then the model is transformed into a mixed integer linear programming problem so that it can be solved by existing commercial solver. To validate its effectiveness, the proposed joint planning of DG and distribution network model considering reconfiguration is tested on the IEEE 33-bus distribution network system.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115047675","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
Reactive-Voltage Coordinated Control of Offshore Wind Farm Based on Deep Reinforcement Learning 基于深度强化学习的海上风电场无功电压协调控制
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403007
Hongtao Tan, Hui Li, Xiangjie Xie, Tian Yang, Jie Zheng, Wei Yang
{"title":"Reactive-Voltage Coordinated Control of Offshore Wind Farm Based on Deep Reinforcement Learning","authors":"Hongtao Tan, Hui Li, Xiangjie Xie, Tian Yang, Jie Zheng, Wei Yang","doi":"10.1109/AEEES51875.2021.9403007","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403007","url":null,"abstract":"The capacitance effect of submarine cables increases the risk of voltage overrun of offshore wind farms. The coordinated control of reactive-voltage (Q- V) is an effective way to improve the voltage stability. The existing research focuses on the Q-V control method based on reactive optimal power flow (Q-OPF) theory. However, there are still two problems: the accuracy and speed of wind farm OPF model are difficult to guarantee. Based on this, a reactive power voltage control method for offshore wind farm based on deep reinforcement learning is proposed. Firstly, an optimal control model of reactive power flow is established to improve the voltage stability of wind farm while considering the system power loss. Then, the optimal control model of voltage is transformed into a Markov game process. Finally, the optimal control model is trained by using the deep deterministic policy gradient (DDPG), and the method does not need to rely on historical data. Simulation results show that the proposed method can effectively improve the voltage stability of wind farm, and has better model solving accuracy and speed performance than traditional methods.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117287991","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
An Improvement Algorithm for Online Identification of Thevenin Equivalent Parameters 一种在线识别等效参数的改进算法
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403072
Xinnan Chen, Yuan Sun, Rui Yin
{"title":"An Improvement Algorithm for Online Identification of Thevenin Equivalent Parameters","authors":"Xinnan Chen, Yuan Sun, Rui Yin","doi":"10.1109/AEEES51875.2021.9403072","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403072","url":null,"abstract":"With the development of the power system, the operating state of the power system is becoming increasingly complex. The assumption of traditional Thevenin equivalent parameters tracking algorithm limited its effectiveness in fast-changing complex system, for which it cannot be applied to the system when the power grid suffers disturbances in the equivalent side. To solve the above problems, an improvement of the traditional Thevenin equivalent parameters tracking algorithm is proposed in this paper. Based on Taylor equation, the direct identification of Thevenin equivalent parameters is replaced by the solution of increment, which eliminates the influence of disturbance location on Thevenin equivalent parameters calculation. The Thevenin equivalent parameters of the system can be calculated only by using the local phasor measurements at adjacent times. The effectiveness of the proposed algorithm is verified by DIgSILENT / PowerFactory 15.0 and IEEE 39 bus standard test system.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125872173","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
An Overview on Small-Signal Modeling and Stability Analysis Methods of Voltage-Source Converter Grid-Connected System 电压源型变换器并网系统小信号建模与稳定性分析方法综述
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403103
Haijiao Wang, Huadong Sun, Xinyun Lu
{"title":"An Overview on Small-Signal Modeling and Stability Analysis Methods of Voltage-Source Converter Grid-Connected System","authors":"Haijiao Wang, Huadong Sun, Xinyun Lu","doi":"10.1109/AEEES51875.2021.9403103","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403103","url":null,"abstract":"As the proportion of renewable energy sources such as photovoltaic and wind power generation in the power system continues increasing, the stability problems caused by the control of voltage-source converters (VSCs) have been increasingly emerging. At present, there are divergent opinions on the small-signal modeling and stability analysis methods for VSC grid-connected system, and there is a lack of consensus. This paper summarizes the latest developments in different modeling and analysis methods for VSC grid-connected system, analyze the relationships and differences between different methods, and theoretical analysis and time-domain simulation are presented to prove the accuracy and consistency of different methods when applied to system stability analysis.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128633851","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
Energy Balance Considered Dynamic Coordination Strategy on Energy Storage System Incorporated Hybrid Energy System 考虑能量平衡的储能系统混合能源系统动态协调策略
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403065
Kai Yuan, Chongbo Sun, Yi Song, Shigong Jiang, Zhenyuan Zhang
{"title":"Energy Balance Considered Dynamic Coordination Strategy on Energy Storage System Incorporated Hybrid Energy System","authors":"Kai Yuan, Chongbo Sun, Yi Song, Shigong Jiang, Zhenyuan Zhang","doi":"10.1109/AEEES51875.2021.9403065","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403065","url":null,"abstract":"With development of renewable energy industry, the distributed energy resources, such as wind power (WP) generation in some areas has gradually increased. Due to the fluctuation of WP-alone power generation, the introductive of energy storage system (ESS) is an effective way to reduce waste power. In this paper, optimized coordination strategy of WP-ESS, featured with battery swapping station (BSS), is proposed, which aims to use batteries to realize the dynamic energy balance in the regional hybrid energy system. This paper describes and simulates the specific operation model, and compares the system without BSS under different output and load levels. The results show that the proposed system operation strategy is a feasible method to effectively increase the local utilization of WP.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129777932","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
Real-time Amplitude and Phase Detection of Grid Fundamental Voltage Considering Decaying DC Component 考虑衰减直流分量的电网基电压实时幅相检测
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2021-03-26 DOI: 10.1109/AEEES51875.2021.9403120
Hongqing Liu, Jianxin Zhang, Yang Qian
{"title":"Real-time Amplitude and Phase Detection of Grid Fundamental Voltage Considering Decaying DC Component","authors":"Hongqing Liu, Jianxin Zhang, Yang Qian","doi":"10.1109/AEEES51875.2021.9403120","DOIUrl":"https://doi.org/10.1109/AEEES51875.2021.9403120","url":null,"abstract":"The fast and accurate fundamental-wave amplitude and phase detection of the grid voltage can be realized by filtering the decayed DC (DDC) component signal effectively. To this end, firstly, based on the periodicity and half-wave symmetry of the three-phase grid voltage signals, the grid voltage is sampled at a half-period and full-period delay under the abc frame system to achieve the DDC component detection in one grid-period. Secondly, aiming at the distorted signals containing both DDC and harmonic components, the DDC detection algorithm and the moving average filtering algorithm are combined in the dq frame system to achieve the simultaneous filtering of DDC and harmonic components in one grid cycle. Finally, the proposed detection algorithm is combined with the grid voltage amplitude/phase detection algorithm to obtain a complete amplitude phase detection algorithm for the fundamental grid voltage. Experiment results verified the effectiveness and advancement of the proposed detection algorithm.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127221182","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
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