Pub Date : 2018-09-01DOI: 10.1109/ciced.2018.8592394
Yiwei Chen, T. Zhu, Q. Gao
In order to make more reasonable assembling capacity planning of power distribution network line, a refined research method for connection capacity planning of power distribution network line is proposed based on the full use of “one library and three centers” (unified data repository, statistical distribution center, center of mathematical analysis and decision-making center) in this paper. First, the users of power distribution network are classified to analyze the load characteristics of all kinds of user. Next the development stage of distribution network users is analyzed by fast clustering analysis method. Then a calculation method for determining the planning connection capacity of distribution network line is given based on the simultaneity rate and the demand coefficient of loads. Finally, an actual distribution network line planning case is given to demonstrate the basic features of the method proposed.
{"title":"Research on Connection Capacity Planning of The Distribution Network Line Based on “One Library and Three Centers”","authors":"Yiwei Chen, T. Zhu, Q. Gao","doi":"10.1109/ciced.2018.8592394","DOIUrl":"https://doi.org/10.1109/ciced.2018.8592394","url":null,"abstract":"In order to make more reasonable assembling capacity planning of power distribution network line, a refined research method for connection capacity planning of power distribution network line is proposed based on the full use of “one library and three centers” (unified data repository, statistical distribution center, center of mathematical analysis and decision-making center) in this paper. First, the users of power distribution network are classified to analyze the load characteristics of all kinds of user. Next the development stage of distribution network users is analyzed by fast clustering analysis method. Then a calculation method for determining the planning connection capacity of distribution network line is given based on the simultaneity rate and the demand coefficient of loads. Finally, an actual distribution network line planning case is given to demonstrate the basic features of the method proposed.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129848973","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592077
Yunche Su, X. Ouyang, Ting Li, Wentao Zhang, Yunling Wang, Li Shen, Mi Zhu
An online reliability evaluation method for distribution network considering time sequential load transfer procedure is presented in this paper. The method, which takes the medium voltage distribution feeder as the evaluation object, assesses the worst outage risk in real time under the extreme fault condition. In order to simulate the load restoration procedure after fault, an optimization model of the load transfer strategy is set up aiming at minimizing total energy loss. The power variation in load transfer periods as well as the continuous back-up power supply ability is considered in the model, and a multi period heuristic search algorithm is applied to solve it efficiently. The effectiveness and feasibility of the proposed method is verified by case study, and the results can provide references for distribution system operators in distribution network.
{"title":"Online Reliability Assessment of Distribution Feeder Considering Time Sequential Load Transfer Procedure","authors":"Yunche Su, X. Ouyang, Ting Li, Wentao Zhang, Yunling Wang, Li Shen, Mi Zhu","doi":"10.1109/CICED.2018.8592077","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592077","url":null,"abstract":"An online reliability evaluation method for distribution network considering time sequential load transfer procedure is presented in this paper. The method, which takes the medium voltage distribution feeder as the evaluation object, assesses the worst outage risk in real time under the extreme fault condition. In order to simulate the load restoration procedure after fault, an optimization model of the load transfer strategy is set up aiming at minimizing total energy loss. The power variation in load transfer periods as well as the continuous back-up power supply ability is considered in the model, and a multi period heuristic search algorithm is applied to solve it efficiently. The effectiveness and feasibility of the proposed method is verified by case study, and the results can provide references for distribution system operators in distribution network.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129923155","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592556
Jiao Hao, Chen Jinming, Guo Yajuan
This paper proposes a concept of “data-driven, lean-oriented and closed-loop” management for distribution network and explain how to implement this kind of management, as shown in fig. 1Firstly, a big data platform is constructed to integrate and combine the multi-source data. Secondly, big data analysis technologies such as data mining, machine learning and data visualization are applied to solve problems in distribution network production. For example, accurate location of the fault can be found with help of multisource information from different devices and systems. And we can also be aware of the risk points in distribution network through history data analysis. Finally, this Paper explains how to promote lean management of distribution network in the fields of asset, operation, maintenance and investment based on the big data platform and big data analysis methods. In addition, the feedback procedure sets up a bridge between application and data collecting, which further improve the data quality. Those management measure have been piloted in several cities in Jiangsu. The result proves that they can improve power supply reliability and reduce operating costs significantly. Two practical cases are given to show how they work.
{"title":"Data-driven lean Management for Distribution Network","authors":"Jiao Hao, Chen Jinming, Guo Yajuan","doi":"10.1109/CICED.2018.8592556","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592556","url":null,"abstract":"This paper proposes a concept of “data-driven, lean-oriented and closed-loop” management for distribution network and explain how to implement this kind of management, as shown in fig. 1Firstly, a big data platform is constructed to integrate and combine the multi-source data. Secondly, big data analysis technologies such as data mining, machine learning and data visualization are applied to solve problems in distribution network production. For example, accurate location of the fault can be found with help of multisource information from different devices and systems. And we can also be aware of the risk points in distribution network through history data analysis. Finally, this Paper explains how to promote lean management of distribution network in the fields of asset, operation, maintenance and investment based on the big data platform and big data analysis methods. In addition, the feedback procedure sets up a bridge between application and data collecting, which further improve the data quality. Those management measure have been piloted in several cities in Jiangsu. The result proves that they can improve power supply reliability and reduce operating costs significantly. Two practical cases are given to show how they work.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130389481","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592515
F. Yuting, Zang Haixiang, Chen Ming, Shen Haiping, Miao Liheng, Wei Zhinong, Sun Guoqiang
Construction of rapid charging stations is one of the most important keys to the popularization of electric vehicles (EVs). This paper proposed a multi-objective electric vehicle rapid charging station planning model which considers the profits of users and charging stations. A sizing model is proposed based on queuing theory aiming at minimizing the capacity while satisfy the constraints. A locating model aiming at minimizing the construction cost of charging stations and the distance between users and charging stations simultaneously is proposed. The multiobjective problem is transformed into a single objective problem by utilizing weighting coefficients and the problem is solved by Adaptive Simulated Annealing Genetic Algorithm (ASAGA). Subsequently, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was utilized to obtain the terminal planning result. The simulation results have demonstrated the effectiveness and feasibility of the proposed model.
快速充电站的建设是电动汽车普及的关键之一。提出了一种考虑用户和充电站利益的多目标电动汽车快速充电站规划模型。提出了一种基于排队论的分级模型，以满足约束条件下最小化容量为目标。提出了一种以充电站建设成本最小、用户与充电站之间距离最小为目标的定位模型。利用加权系数将多目标问题转化为单目标问题，采用自适应模拟退火遗传算法(ASAGA)求解。随后，利用TOPSIS (Order Preference by Similarity to Ideal Solution)算法得到了终端规划结果。仿真结果验证了该模型的有效性和可行性。
{"title":"Optimal Allocation for Electric Vehicle Rapid Charging Stations Based on Asaga","authors":"F. Yuting, Zang Haixiang, Chen Ming, Shen Haiping, Miao Liheng, Wei Zhinong, Sun Guoqiang","doi":"10.1109/CICED.2018.8592515","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592515","url":null,"abstract":"Construction of rapid charging stations is one of the most important keys to the popularization of electric vehicles (EVs). This paper proposed a multi-objective electric vehicle rapid charging station planning model which considers the profits of users and charging stations. A sizing model is proposed based on queuing theory aiming at minimizing the capacity while satisfy the constraints. A locating model aiming at minimizing the construction cost of charging stations and the distance between users and charging stations simultaneously is proposed. The multiobjective problem is transformed into a single objective problem by utilizing weighting coefficients and the problem is solved by Adaptive Simulated Annealing Genetic Algorithm (ASAGA). Subsequently, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was utilized to obtain the terminal planning result. The simulation results have demonstrated the effectiveness and feasibility of the proposed model.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130490468","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592460
Zhu Liang, L. Yuling, Yang Qi, Yu Kun, Zeng Xiangjutn, Guo Tingting, Yang Miao
In order to accurately and effectively realize the arc-suppression coil tuning, it is urgent to improve the measuring accuracy of the capacitance to ground in resonant grounding system. Because the existing measuring method does not consider the damping resistance which is connected in the grounding loop of arc-suppression coil, a novel measuring method of capacitance to ground in resonant grounding system was proposed in this paper. First, a variable-frequency current signal is injected into the system by the zero-sequence voltage transformer of the distribution network. Then the returned voltage signal will be measured by the voltage transformer inside the arc-suppression coil. After establishing the variable-frequency equivalent circuit which considers the damping resistance, the capacitance to ground can be calculated accurately. Finally, the effectiveness of this method was proved by the PSCAD/EMTDC, which showed that this method has high precision, which eliminates the negative influence of damping resistance.
{"title":"A Novel Measuring Method of Capacitance to Ground in Resonant Grounding System","authors":"Zhu Liang, L. Yuling, Yang Qi, Yu Kun, Zeng Xiangjutn, Guo Tingting, Yang Miao","doi":"10.1109/CICED.2018.8592460","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592460","url":null,"abstract":"In order to accurately and effectively realize the arc-suppression coil tuning, it is urgent to improve the measuring accuracy of the capacitance to ground in resonant grounding system. Because the existing measuring method does not consider the damping resistance which is connected in the grounding loop of arc-suppression coil, a novel measuring method of capacitance to ground in resonant grounding system was proposed in this paper. First, a variable-frequency current signal is injected into the system by the zero-sequence voltage transformer of the distribution network. Then the returned voltage signal will be measured by the voltage transformer inside the arc-suppression coil. After establishing the variable-frequency equivalent circuit which considers the damping resistance, the capacitance to ground can be calculated accurately. Finally, the effectiveness of this method was proved by the PSCAD/EMTDC, which showed that this method has high precision, which eliminates the negative influence of damping resistance.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126874637","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592234
Zhou Desheng, Zou Xiaofeng, Xu Jie, Song Jie, Du Zhaoxin, Zeng Ping
At present, there are a large number of arc suppression coil grounding mode in the low-voltage distribution network for the equipment insulation and power supply reliability considerations. The role of arc suppression coil grounding mode is when the grid single-phase ground fault occurs, arc suppression coil will provide inductor current to compensate the capacitor current. It is conducive to prevent the arc-reignition, to achieve the purpose of arc extinguishing, which will reduce the high amplitude over-voltage probability, to preventing further expansion of the accident. Engineering is generally used the overcompensation method for the wayto prevent the occurrence of resonance phenomenon. But, the capacitive current data used in the overcompensation method of the engineering are generally designed to be estimated based on recent or long-term loads and current equipment conditions. In the following years of substation operation, due to the rapid increase in load, the rapid expansion of the transmission line, the actual capacitor current is often quite different with the originally estimated one. Especially for large-scale urban distribution network with large number of cable or large-scale overhead lines to transform the cable, the design of the over-compensation mode of operation may no longer be established, become fully compensated or even under-compensation. Several obvious voltage waveform distortion of the actual distribution network is analyzed in this paper. The resonant energy spectrum of each phase is analyzed by MATLAB, and it is pointed out that the resonance of the voltage waveform is caused by the resonance of the zero sequence circuit. And use RTDS simulation system to modeling and analysis this situation. The simulation results are in good agreement with the actual waveforms, which will verified that the results of this paper are correct.
{"title":"Resonance Analysis of Small Current Grounding System in Distribution Network","authors":"Zhou Desheng, Zou Xiaofeng, Xu Jie, Song Jie, Du Zhaoxin, Zeng Ping","doi":"10.1109/CICED.2018.8592234","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592234","url":null,"abstract":"At present, there are a large number of arc suppression coil grounding mode in the low-voltage distribution network for the equipment insulation and power supply reliability considerations. The role of arc suppression coil grounding mode is when the grid single-phase ground fault occurs, arc suppression coil will provide inductor current to compensate the capacitor current. It is conducive to prevent the arc-reignition, to achieve the purpose of arc extinguishing, which will reduce the high amplitude over-voltage probability, to preventing further expansion of the accident. Engineering is generally used the overcompensation method for the wayto prevent the occurrence of resonance phenomenon. But, the capacitive current data used in the overcompensation method of the engineering are generally designed to be estimated based on recent or long-term loads and current equipment conditions. In the following years of substation operation, due to the rapid increase in load, the rapid expansion of the transmission line, the actual capacitor current is often quite different with the originally estimated one. Especially for large-scale urban distribution network with large number of cable or large-scale overhead lines to transform the cable, the design of the over-compensation mode of operation may no longer be established, become fully compensated or even under-compensation. Several obvious voltage waveform distortion of the actual distribution network is analyzed in this paper. The resonant energy spectrum of each phase is analyzed by MATLAB, and it is pointed out that the resonance of the voltage waveform is caused by the resonance of the zero sequence circuit. And use RTDS simulation system to modeling and analysis this situation. The simulation results are in good agreement with the actual waveforms, which will verified that the results of this paper are correct.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129240480","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592153
Liu Kai, Xiang Guojie, Guo Xiaojing, Yu Kun, Chen Duohong, Liu Ran, Chen Fan, Zeng Xiangjun
Neutral displacement overvoltage is harmful to power equipment. A method for suppressing the neutral point displacement overvoltage and its suppression circuit were proposed in this paper to restore it to a normal level. First, it is judged if the neutral point displacement voltage is greater than the set value. Next, the previous and current currents on the arc suppression coil are measured. Then, current is injected at the neutral point of the grid. Finally, it is judged whether the zero-sequence overvoltage of the distribution network is successfully suppressed. The feasibility of the suppression method and the suppression circuit proposed in this paper was proved by the experimental results. This method is great significance for suppressing the displacement overvoltage of the neutral point of the distribution network.
{"title":"Method for Suppressing Neutral Point Displacement Overvoltage and Suppression Circuit in Distribution Network","authors":"Liu Kai, Xiang Guojie, Guo Xiaojing, Yu Kun, Chen Duohong, Liu Ran, Chen Fan, Zeng Xiangjun","doi":"10.1109/CICED.2018.8592153","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592153","url":null,"abstract":"Neutral displacement overvoltage is harmful to power equipment. A method for suppressing the neutral point displacement overvoltage and its suppression circuit were proposed in this paper to restore it to a normal level. First, it is judged if the neutral point displacement voltage is greater than the set value. Next, the previous and current currents on the arc suppression coil are measured. Then, current is injected at the neutral point of the grid. Finally, it is judged whether the zero-sequence overvoltage of the distribution network is successfully suppressed. The feasibility of the suppression method and the suppression circuit proposed in this paper was proved by the experimental results. This method is great significance for suppressing the displacement overvoltage of the neutral point of the distribution network.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611940","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592255
Li-ping Liu, Jianghong Bai, Yi-Tao Zhang, Mu Jiang, Yun-Chao Sun, Qi Wang
A novel method of calculating 10kV distribution network line loss is proposed and realized by programming, which is improved BP neural network model based on adaptive genetic algorithm. Firstly, the characteristic index system is established according to electric characteristic parameters of samples. Then, through leaning the training samples by improved model of BPNN, the line loss evaluation model is obtained. After that,10kV line loss of test samples can be evaluated actually. The improved algorithm of BPNN is adopted to fit complex nonlinear relation between line loss and electric characteristic parameters. The 10kV distribution network in a real system is taken as an example. The accuracy of the proposed method is verified by simulation and calculation of the example. Compared with traditional BPNN, This method has the advantages of fast convergence and high accuracy.
{"title":"An Evaluation Method of 10k V Distribution Network Line Loss Based on Improved BP Neural Network","authors":"Li-ping Liu, Jianghong Bai, Yi-Tao Zhang, Mu Jiang, Yun-Chao Sun, Qi Wang","doi":"10.1109/CICED.2018.8592255","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592255","url":null,"abstract":"A novel method of calculating 10kV distribution network line loss is proposed and realized by programming, which is improved BP neural network model based on adaptive genetic algorithm. Firstly, the characteristic index system is established according to electric characteristic parameters of samples. Then, through leaning the training samples by improved model of BPNN, the line loss evaluation model is obtained. After that,10kV line loss of test samples can be evaluated actually. The improved algorithm of BPNN is adopted to fit complex nonlinear relation between line loss and electric characteristic parameters. The 10kV distribution network in a real system is taken as an example. The accuracy of the proposed method is verified by simulation and calculation of the example. Compared with traditional BPNN, This method has the advantages of fast convergence and high accuracy.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123922676","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}
The growing penetration level of photovoltaic (PV) and electric vehicles (EV) increase the operational risk of the urban power system. Besides, the unbalanced load distribution at time-spatial scale also impacts the hosting capacity of the PVs and causes severe transmission congestion. Thus this paper proposed a bi-level optimization model to manage the transmission congestion and enhance the PV hosting capacity considering the reconfigurable capability of the high voltage distribution network (HVDN). In the upper level, the optimal topological structure of HVDN is calculated aiming at minimizing the total operational cost. In the lower level, the maximum hosting capacity of PVs is achieved by a second-order cone programming model. The proposed method was verified by an urban power system in China. Numerical results demonstrated that reconfiguring the HVDN topological structure provide huge benefits of enhancing PV penetration level and facilitating the integration of the EV.
{"title":"Urban Power Grids Dynamic Control Model With Photovoltaic and Electric Vehicles","authors":"Qian Xiong, Fangfang Liu, Lin Lv, You-bo Liu, Yong Li, Chengzhi Zhu","doi":"10.1109/CICED.2018.8592506","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592506","url":null,"abstract":"The growing penetration level of photovoltaic (PV) and electric vehicles (EV) increase the operational risk of the urban power system. Besides, the unbalanced load distribution at time-spatial scale also impacts the hosting capacity of the PVs and causes severe transmission congestion. Thus this paper proposed a bi-level optimization model to manage the transmission congestion and enhance the PV hosting capacity considering the reconfigurable capability of the high voltage distribution network (HVDN). In the upper level, the optimal topological structure of HVDN is calculated aiming at minimizing the total operational cost. In the lower level, the maximum hosting capacity of PVs is achieved by a second-order cone programming model. The proposed method was verified by an urban power system in China. Numerical results demonstrated that reconfiguring the HVDN topological structure provide huge benefits of enhancing PV penetration level and facilitating the integration of the EV.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123364780","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}
Pub Date : 2018-09-01DOI: 10.1109/CICED.2018.8592302
Fanqi Yang, Jinrui Tang, Ting-ting Hou, Hujun Li
Based on the background of one province in Central China power grid absorbing local and outer wind power, this paper studied on the peak shaving characteristics of the wind power into Central China power grid from different provinces and regions. By analyzing the output characteristics and typical 24h load characteristics of wind power, the characteristic index system of wind power peak shaving load has been established. And the impacts of different indicators on wind power peak shaving have been analyzed. Through the calculation and analysis, the accurate value of wind power peak shaving regulation probability and wind power peak shaving rate could be obtained. In the study of optimal allocation of existing pumped storage power stations, most of the wind power peak shaving rates are considered according to a fixed value. But it failed to analyze the rationality of the fixed value in depth. This paper provides an in-depth analysis of the simplified calculation of wind power peak shaving rate, and through the comparative analysis of the maximum planning capacity of wind power, some useful conclusions are obtained.
{"title":"Characteristic Analysis of Peak-Valley Regulation of Central China Power Grid Under Different Wind Power Consumption Situations","authors":"Fanqi Yang, Jinrui Tang, Ting-ting Hou, Hujun Li","doi":"10.1109/CICED.2018.8592302","DOIUrl":"https://doi.org/10.1109/CICED.2018.8592302","url":null,"abstract":"Based on the background of one province in Central China power grid absorbing local and outer wind power, this paper studied on the peak shaving characteristics of the wind power into Central China power grid from different provinces and regions. By analyzing the output characteristics and typical 24h load characteristics of wind power, the characteristic index system of wind power peak shaving load has been established. And the impacts of different indicators on wind power peak shaving have been analyzed. Through the calculation and analysis, the accurate value of wind power peak shaving regulation probability and wind power peak shaving rate could be obtained. In the study of optimal allocation of existing pumped storage power stations, most of the wind power peak shaving rates are considered according to a fixed value. But it failed to analyze the rationality of the fixed value in depth. This paper provides an in-depth analysis of the simplified calculation of wind power peak shaving rate, and through the comparative analysis of the maximum planning capacity of wind power, some useful conclusions are obtained.","PeriodicalId":142885,"journal":{"name":"2018 China International Conference on Electricity Distribution (CICED)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121172152","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}
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