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2020 5th International Conference on Power and Renewable Energy (ICPRE)最新文献

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Research on Dynamic Performance Improvement of Load Switching in Microgrid to Three-phase Voltage Source Inverter Based on LADRC 基于LADRC的微网负载切换三相电压源逆变器动态性能改进研究
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233120
Zhexian Fu, Hui Li, Chunyang Gong
{"title":"Research on Dynamic Performance Improvement of Load Switching in Microgrid to Three-phase Voltage Source Inverter Based on LADRC","authors":"Zhexian Fu, Hui Li, Chunyang Gong","doi":"10.1109/ICPRE51194.2020.9233120","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233120","url":null,"abstract":"The droop-controlled inverter can be modeled as a controllable voltage source with output impedance in series. However, dynamic performance in islanded microgrid mode is highly sensitive to the inverter output impedance. In this paper, a three-phase voltage source inverter (VSI) control method based on linear active disturbance rejection control (LADRC) is proposed to decouple the output impedance of the three-phase inverter in dq frame to simplify the output impedance model. Moreover, LADRC can significantly reduce the amplitude-frequency response of the output impedance. Compared with the conventional PI double-loop control method, LADRC can dramatically improve the dynamic performance during load switching.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126979018","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 Modeling Uncertainty of Load Modeling based on IMM Algorithm 基于IMM算法的负荷建模不确定性研究
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233218
Zhongqiang Li, Zhenshu Wang, Yongzhi Yan, Guangrui Ye
{"title":"Research on Modeling Uncertainty of Load Modeling based on IMM Algorithm","authors":"Zhongqiang Li, Zhenshu Wang, Yongzhi Yan, Guangrui Ye","doi":"10.1109/ICPRE51194.2020.9233218","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233218","url":null,"abstract":"With the increasing integration of clean and renewable energy, it is imperative to understand the load characteristics of power system. Accurate load model is the basis of power system security and stability analysis. An improper load model will makes the calculation results inconsistent with the actual situation. Time-varying and randomness of load characteristics are the difficulties of load modeling, and modeling uncertainty will affect the accuracy of load modeling. In order to solve this problem, modeling uncertainty compensation mechanism is proposed in this paper. By introducing modeling error compensation parameter, the weights of the system model and measurement model are adjusted in real-time to reduce the influence of modeling error. It improves the accuracy of interacting multiple load modeling. The effectiveness of the proposed method is validated by simulation results.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127294108","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
Prediction of NOx in SCR Inlet of Thermal Power Plant Based on Mutual Information and Long Short-Term Memory Network 基于互信息和长短期记忆网络的火电厂SCR进口NOx预测
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233111
Gao Chunyu, Xie Ming, Jiang Wei, Dong Ze
{"title":"Prediction of NOx in SCR Inlet of Thermal Power Plant Based on Mutual Information and Long Short-Term Memory Network","authors":"Gao Chunyu, Xie Ming, Jiang Wei, Dong Ze","doi":"10.1109/ICPRE51194.2020.9233111","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233111","url":null,"abstract":"NOx produced by thermal power plant incineration is one of the main sources of atmospheric pollutants. Most thermal power plants use selective catalytic reduction (SCR) technology to denitrate. The current NOx concentration sensor has a large delay and cannot accurately reflect the real-time change of the NOx concentration at the SCR inlet, which will affect the economy and safety of the denitration control. This paper uses balanced mutual information feature selection (BMIFS) for feature extraction. Driven by historical data, a long short-term memory network (LSTM) model of inlet NOx concentration was established. By comparing the error with the field measured data, the accuracy of the prediction model and the effectiveness of the prediction method are verified. The conclusion shows that the balanced mutual information feature selection method can reduce the coupling degree and data dimension between the input variables, and achieve the purpose of improving modeling accuracy and reducing computational complexity.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125635894","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 New Business of Smart Power Consumption 智能用电新业务研究
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233214
Tian Shiming, Liang Dezhi, Zhang Yang, Zheng Zhengxian, Gong Feixiang, Jin Zheng-jun, Ma Chuang, Wei Yinwu
{"title":"Research on New Business of Smart Power Consumption","authors":"Tian Shiming, Liang Dezhi, Zhang Yang, Zheng Zhengxian, Gong Feixiang, Jin Zheng-jun, Ma Chuang, Wei Yinwu","doi":"10.1109/ICPRE51194.2020.9233214","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233214","url":null,"abstract":"Considering the influencing factors and trends of smart electricity development, this paper analyzes the interactive demand between the participants and the power grid, and further forecasts the development trend of new smart power business. Firstly, it analyzes the development trend of smart electricity business. Then, it focuses on the multi-agent and multi-element indirect power sales mode between the new business participants and the power grid, and obtains the demand response architecture and incentive mode based on load aggregator. Finally, the load consumption method based on the load digital mapping model is analyzed. Based on the demand response strategy of aggregated load participation, a reasonable development direction of smart electricity business under the new situation is given noodles.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133109573","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
Simulation and Evaluation of Distributed Energy System Based on Modelica 基于Modelica的分布式能源系统仿真与评价
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233193
Yuanyuan Gu, Zhiguang Chen, Jun Yang, C. Qin
{"title":"Simulation and Evaluation of Distributed Energy System Based on Modelica","authors":"Yuanyuan Gu, Zhiguang Chen, Jun Yang, C. Qin","doi":"10.1109/ICPRE51194.2020.9233193","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233193","url":null,"abstract":"Natural gas distributed energy supply system (DES) can realize the cascade and efficient use of energy, which is an important way to solve the current global energy crisis. Different operating strategies will affect the operation of the device, which in turn affects the overall performance of the system. The DES model was constructed by Modelica taking the distributed energy station of a factory in Shanghai as an example. The annual dynamic simulation of DES under three operation strategies - follow electricity load (FEL) 、 follow thermal load (FTL) and follow hybrid load (FHL) was carried out. The results showed that the annual operating costs of the three strategies could be saved by 7.4%, 7.8% and 6.9% respectively, and the comprehensive utilization rates of energy were 76%, 74% and 72% respectively.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115152162","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
Hybrid MMC Based DC Fault Current Limiting Method in VSC-HVDC Transmission System 基于混合MMC的vdc - hvdc输电系统直流故障限流方法
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233274
J. Hou, Zhixin Wang, S. Yan, Zhidong Wang, Chengzhi Zhu, Chengmin Wang
{"title":"Hybrid MMC Based DC Fault Current Limiting Method in VSC-HVDC Transmission System","authors":"J. Hou, Zhixin Wang, S. Yan, Zhidong Wang, Chengzhi Zhu, Chengmin Wang","doi":"10.1109/ICPRE51194.2020.9233274","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233274","url":null,"abstract":"Modular multilevel converter (MMC) is widely used in DC transmission system, especially in VSC-HVDC power transmission system. Power electronics applied in DC grids is vulnerable to overcurrent after DC faults. DC transmission line faces the problem of fault current suppression. One Hybrid MMC based method is proposed in this paper. By applying certain proportion of full-bridge submodules (FBSMs), the MMC could run at lower voltage during fault at DC side. A two-terminal MMC-HVDC transmission system is built on PSCAD／EMTDC platform to verify the effectiveness of proposed method. The results show that, using this method, in the case of DC fault, the amplitude of fault current can be reduced, and the requirement for the breaking capacity of DCCB could be lowered.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233615","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
Data-Driven Stochastic Unit Commitment Optimization Considering Spatial Correlation of Wind Farms 考虑风电场空间相关性的数据驱动随机机组承诺优化
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233279
Guangrui Ye, Zhenshu Wang, Yongzhi Yan, Zhongqiang Li
{"title":"Data-Driven Stochastic Unit Commitment Optimization Considering Spatial Correlation of Wind Farms","authors":"Guangrui Ye, Zhenshu Wang, Yongzhi Yan, Zhongqiang Li","doi":"10.1109/ICPRE51194.2020.9233279","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233279","url":null,"abstract":"In the current power system dispatching, the high penetration of renewable energy sources has caused a lot of uncertainty. To cope with the issue, this paper proposes a data-driven stochastic optimization model as a solution to the unit commitment (UC) problem. This model integrates wind power and energy storage and considers the correlation among the forecast errors of multiple wind farms. Based on the Dirichlet process Gaussian mixture model (DPGMM), this paper first uses historical data to construct a probability density function (PDF) for the uncertainty and spatial correlation of wind power forecast errors. Then the simultaneous backward reduction (SBR) algorithm is used to select typical scenarios from the large number of simulated scenarios generated by sampling the PDF obtained previously. As such, the uncertainty of wind power is represented by the typical scenarios. After that, a stochastic UC model is proposed, the objective function of which is established considering the cost of wind curtailment and load shedding. Finally, taking a ten-unit system with two wind farms and energy storage devices as an example, the effectiveness of the above models and methods is validated by the results of comparative exemplifications.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"30 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120890264","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
Multi-objective Flexible Planning of Transmission Network Considering Generation and Load Uncertainties 考虑发电和负荷不确定性的输电网多目标柔性规划
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233273
Zihan Liu, Chunyang Liu, Bo Chen, Lina Zhang, Dong Liu, Ying Mu
{"title":"Multi-objective Flexible Planning of Transmission Network Considering Generation and Load Uncertainties","authors":"Zihan Liu, Chunyang Liu, Bo Chen, Lina Zhang, Dong Liu, Ying Mu","doi":"10.1109/ICPRE51194.2020.9233273","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233273","url":null,"abstract":"The rapid growth of wind and solar generation has significantly enhanced the uncertainty of power system. At present, most studies on transmission network planning considering renewable energy generation adopt DC power flow equation. But DC power flow ignores line resistance, voltage amplitude, reactive power flow and network loss, whose linear expression is not accurate enough for large power systems. Based on AC flow calculation, this paper constructs a two-layer model of multi-objective flexible planning for transmission network considering the uncertainties of renewable energy generation and load. The upper layer model is a transmission network multi-objective planning model considering the annual value cost of construction investment, annual network loss cost and operation efficiency. The non-dominant sorting genetic algorithm with elite strategy is adopted to solve the problem, and the transmission network planning results are transmitted to the lower layer. The lower layer model is a multi-scenario calibration model with the goal of minimizing the expectations of renewable energy curtailment and load shedding. The AC power flow equation is relaxed by the second-order cone so as to verify the capacity of the plan to the generation and load uncertainties. Finally, the effectiveness and feasibility of the proposed model are verified by the adjusted IEEE 39-node system.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115882122","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
The Research on Equivalent Model of High Voltage GIS Shell Circulation Calculation 高压GIS外壳环流计算等效模型研究
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233170
Cheng Hui, Wang Feiming, Liang Xingyu, Jin Yuanyuan, Li Bing, G. Baohong
{"title":"The Research on Equivalent Model of High Voltage GIS Shell Circulation Calculation","authors":"Cheng Hui, Wang Feiming, Liang Xingyu, Jin Yuanyuan, Li Bing, G. Baohong","doi":"10.1109/ICPRE51194.2020.9233170","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233170","url":null,"abstract":"Works based on the theory of engineering electromagnetic fields and high current busbar, study on the GIS (Gas Insulate Substation, referred to as GIS) in the steady-state model of the equivalent shell, and calculate the model parameters. Normal operation, circulation value of the shell and busbar load current is essentially the same order of magnitude. They also have a huge circulation loss and influent transmission capacity of the system. The phenomenon of heat loss also occurs at the same time of circulation loss generating. When circulation above a certain value, heat loss over heat capacity of the shell. It will lead to local heat and accelerate aging of insulation. Therefore, it is great significance for the value of the steady circulation to establish an accurate equivalent model of GIS shell. By referring to the existing home and abroad on the aspects of research about the equivalent model of the GIS shell, use the high-current busbar theory to establish an accurate equivalent model of GIS shell.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116223472","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 Insulation Damp Diagnosis of Synchronous Motor Stator Winding 同步电机定子绕组绝缘受潮诊断研究
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233178
Sun Fuchun, Wang Andong, Wang Jihao
{"title":"Research on Insulation Damp Diagnosis of Synchronous Motor Stator Winding","authors":"Sun Fuchun, Wang Andong, Wang Jihao","doi":"10.1109/ICPRE51194.2020.9233178","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233178","url":null,"abstract":"The insulation of synchronous motor is easily affected by its operation state and structure. Because the insulation of synchronous motor can only use solid insulation medium, which is embedded in the core groove, it can not be immersed in insulating oil like transformer, nor can it be sealed in metal shell full of SF6 like GIS, and the insulation of synchronous motor can only be exposed to air. In some cases, it is easy for the winding to get damp. In this paper, the frequency-domain dielectric spectroscopy method is used to detect the moisture of stator winding. The test results of several groups of samples are compared, and the cause analysis is given.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122786035","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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