Pub Date : 2018-11-01DOI: 10.1109/POWERCON.2018.8602353
Xue Wenjia, Xiang Zutao
Energization overvoltage is very important for security and stability of power grid, and it also provides reasonable reference for insulation coordination. This article proposes the influence of GIL on energization overvoltage. Parameter characteristics for GIL are presented and analyzed in detail, which are different from that of overhead line (OHL). Thus, with GIL applied to transmission system, the traditional methods for analysis of energization overvoltage could not be used. However, amplitude of energization overvoltage and voltage attenuation speed can be simply discussed only for a fully-GIL or a fully-OHL. Analysis on how the length, ratio and location of GIL effect the energization overvoltage, need to be obtained based on simulation results. The study includes various sensitivity analyses to find out the impact of transmission line parameters on overvoltage. By the statistical analysis, it has been discovered that energization overvoltage of a hybrid OHL-GIL circuit are lower than those of a fully-OHL circuit with the same transmission lengths. There is no evident changing regularity of overvoltage in different locations of GIL. The attenuation speed of a hybrid OHL-GIL circuit is lower than those of a fully-OHL and fully-GIL.
{"title":"Influence of Gas-Insulated Transmission Line (GIL) on Energization Overvoltage","authors":"Xue Wenjia, Xiang Zutao","doi":"10.1109/POWERCON.2018.8602353","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602353","url":null,"abstract":"Energization overvoltage is very important for security and stability of power grid, and it also provides reasonable reference for insulation coordination. This article proposes the influence of GIL on energization overvoltage. Parameter characteristics for GIL are presented and analyzed in detail, which are different from that of overhead line (OHL). Thus, with GIL applied to transmission system, the traditional methods for analysis of energization overvoltage could not be used. However, amplitude of energization overvoltage and voltage attenuation speed can be simply discussed only for a fully-GIL or a fully-OHL. Analysis on how the length, ratio and location of GIL effect the energization overvoltage, need to be obtained based on simulation results. The study includes various sensitivity analyses to find out the impact of transmission line parameters on overvoltage. By the statistical analysis, it has been discovered that energization overvoltage of a hybrid OHL-GIL circuit are lower than those of a fully-OHL circuit with the same transmission lengths. There is no evident changing regularity of overvoltage in different locations of GIL. The attenuation speed of a hybrid OHL-GIL circuit is lower than those of a fully-OHL and fully-GIL.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838994","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601705
Lu Jinwei, Guo Hongxia, Yang Ping, Li Chunlai, Yang Libin, Z. Zhen
The site of photovoltaic power stations makes a great difference to the investment, benefit and difficulty of the project. This paper presents a site selection method for photovoltaic power stations based on weighted least-square method and threshold normalization. Firstly, the problem of site selection is modeled as a hierarchy containing the decision goal, 3 criteria and 12 subcriteria. The weights of criteria and subcriteria should be calculated with weighted least-square method. Then the indicators of alternative sites should be normalized with threshold normalization method proposed by this paper. The final priority of each alternative sites can be obtained with linear weighting. An example is given to prove the validity of the proposed method.
{"title":"Site Selection of Photovoltaic Power Station Based on Weighted Least-Square Method and Threshold Normalization","authors":"Lu Jinwei, Guo Hongxia, Yang Ping, Li Chunlai, Yang Libin, Z. Zhen","doi":"10.1109/POWERCON.2018.8601705","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601705","url":null,"abstract":"The site of photovoltaic power stations makes a great difference to the investment, benefit and difficulty of the project. This paper presents a site selection method for photovoltaic power stations based on weighted least-square method and threshold normalization. Firstly, the problem of site selection is modeled as a hierarchy containing the decision goal, 3 criteria and 12 subcriteria. The weights of criteria and subcriteria should be calculated with weighted least-square method. Then the indicators of alternative sites should be normalized with threshold normalization method proposed by this paper. The final priority of each alternative sites can be obtained with linear weighting. An example is given to prove the validity of the proposed method.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130384047","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602137
Q. Liang, Lingxue Lin, Baorong Zhou, Wenmeng Zhao
With the popularization of PEV, it has been the critical load of smart the grid. The modeling of PEV charging load is the basis of the estimation of its impact on distribution networks. This paper proposes a detailed model to analyze the driving characteristics both in time and space of PEV based on the concept of trip chain and the utilization of Monte Carlo Simulation Method. Taking the difference in charging behaviors into consideration, three charging scenarios are generated and then charging load profiles are obtained. Based on the above study, the impact of PEV on multi-level distribution networks is estimated. The results show that it will cause the largest load demand if PEVs charge at home every day after the last trip, especially on a weekday. In addition, it’s recommended that the charging load connects to the front of the feeder, which leads to less voltage drop. This study can accurately describe the temporal-spatial characteristics of charging load and comprehensively analyze its impact on distribution networks, which is instructive for the planning of future power grid.
{"title":"Modeling of PEV charging load based on trip chain theory and the impact of PEV on distribution networks","authors":"Q. Liang, Lingxue Lin, Baorong Zhou, Wenmeng Zhao","doi":"10.1109/POWERCON.2018.8602137","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602137","url":null,"abstract":"With the popularization of PEV, it has been the critical load of smart the grid. The modeling of PEV charging load is the basis of the estimation of its impact on distribution networks. This paper proposes a detailed model to analyze the driving characteristics both in time and space of PEV based on the concept of trip chain and the utilization of Monte Carlo Simulation Method. Taking the difference in charging behaviors into consideration, three charging scenarios are generated and then charging load profiles are obtained. Based on the above study, the impact of PEV on multi-level distribution networks is estimated. The results show that it will cause the largest load demand if PEVs charge at home every day after the last trip, especially on a weekday. In addition, it’s recommended that the charging load connects to the front of the feeder, which leads to less voltage drop. This study can accurately describe the temporal-spatial characteristics of charging load and comprehensively analyze its impact on distribution networks, which is instructive for the planning of future power grid.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199100","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 : 2018-11-01DOI: 10.1109/powercon.2018.8602299
Ting Cui, Yangwu Shen, Liqing Liang, Bin Zhang, Hu Guo, Jian Zuo
This paper proposes a real-time voltage regulation for distributed power grids, which is able to determine a voltage control scheme including reactive power of wind power generators and conventional voltage controllers. Firstly, the statistics error distribution of wind power prediction in ultra short term is obtained. According to the active power of wind power generators and its prediction error, the available reactive power capability of wind power generators is determined. And then, a voltage control model with wind power generators, conventional generators, SVCs, switching capacitors and inductors is established. An improved interior point method is applied to solve the control problems. The proposed real-time voltage regulation is mainly achieved by the procedures involving determining the available reactive power capability of wind power generators, establishing the voltage control model, and solution using the improved interior point method. Finally, an actual distributed power grid is used to verify the effectiveness of the proposed control.
{"title":"Real-Time Voltage Regulation of Distributed Power Grids with Wind Power Integration","authors":"Ting Cui, Yangwu Shen, Liqing Liang, Bin Zhang, Hu Guo, Jian Zuo","doi":"10.1109/powercon.2018.8602299","DOIUrl":"https://doi.org/10.1109/powercon.2018.8602299","url":null,"abstract":"This paper proposes a real-time voltage regulation for distributed power grids, which is able to determine a voltage control scheme including reactive power of wind power generators and conventional voltage controllers. Firstly, the statistics error distribution of wind power prediction in ultra short term is obtained. According to the active power of wind power generators and its prediction error, the available reactive power capability of wind power generators is determined. And then, a voltage control model with wind power generators, conventional generators, SVCs, switching capacitors and inductors is established. An improved interior point method is applied to solve the control problems. The proposed real-time voltage regulation is mainly achieved by the procedures involving determining the available reactive power capability of wind power generators, establishing the voltage control model, and solution using the improved interior point method. Finally, an actual distributed power grid is used to verify the effectiveness of the proposed control.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130597725","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601808
D. Lei, Zhang Xia-wei, Chen Naishi, Sun Qian, Ma Jianwei
In order to cope with the uncertainty of intermittent distributed power supply output in the microgrid, and to solve the problem that the prediction accuracy is declining with the increase of time scale, this paper uses deep learning technology to achieve accurate prediction of new energy output. Based on this, an optimal dispatch of micro-grid based on model predictive control is proposed to fine-tune the coordination and control of wind power, photovoltaic and energy storage equipment in the microgrid so as to maximize the dissipation of the intermittent distributed power supply and track the microgrid operation reference trajectories accurately.
{"title":"Active Optimal Dispatch of Microgrid Based on Improved Model Predictive Control","authors":"D. Lei, Zhang Xia-wei, Chen Naishi, Sun Qian, Ma Jianwei","doi":"10.1109/POWERCON.2018.8601808","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601808","url":null,"abstract":"In order to cope with the uncertainty of intermittent distributed power supply output in the microgrid, and to solve the problem that the prediction accuracy is declining with the increase of time scale, this paper uses deep learning technology to achieve accurate prediction of new energy output. Based on this, an optimal dispatch of micro-grid based on model predictive control is proposed to fine-tune the coordination and control of wind power, photovoltaic and energy storage equipment in the microgrid so as to maximize the dissipation of the intermittent distributed power supply and track the microgrid operation reference trajectories accurately.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647908","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601639
T. Qian, Q. Wei, W. Zhang, W. H. Tang, Q.H. Wu
In this paper, a framework for dynamic stability analyses of a typical inverter-based islanded microgrid is presented. The studied microgrid consists of energy storage systems, which are controlled by two kinds of strategies, namely active/reactive power (P/Q) control and voltage/frequency (V/f) control, and photovoltaic (PV) generation, which is assumed to work in the maximum power point tracking (MPPT) mode, and constant active/reactive load. The comprehensive dynamic model of the considered microgrid is developed, based on which a bunch of small-signal models are deduced at stable operating points. Then by means of eigenvalue-theorem-based stability analysis, the relation between damping modes and state variables can be derived. Afterward, a global optimal method is implemented to improve system stability, which is based on the investigation of the controller parameters that affecting the traces of eigenvalues. The simulation results show that the improved system is more stable after suffering small disturbance of a light intensity step down and a step up.
{"title":"Investigation on Dynamic Stability of an Islanded Microgrid and Optimization for Its Controller Parameters","authors":"T. Qian, Q. Wei, W. Zhang, W. H. Tang, Q.H. Wu","doi":"10.1109/POWERCON.2018.8601639","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601639","url":null,"abstract":"In this paper, a framework for dynamic stability analyses of a typical inverter-based islanded microgrid is presented. The studied microgrid consists of energy storage systems, which are controlled by two kinds of strategies, namely active/reactive power (P/Q) control and voltage/frequency (V/f) control, and photovoltaic (PV) generation, which is assumed to work in the maximum power point tracking (MPPT) mode, and constant active/reactive load. The comprehensive dynamic model of the considered microgrid is developed, based on which a bunch of small-signal models are deduced at stable operating points. Then by means of eigenvalue-theorem-based stability analysis, the relation between damping modes and state variables can be derived. Afterward, a global optimal method is implemented to improve system stability, which is based on the investigation of the controller parameters that affecting the traces of eigenvalues. The simulation results show that the improved system is more stable after suffering small disturbance of a light intensity step down and a step up.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123519417","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602101
X. Ye, T. Ji, M. S. Li, Q. Wu
Electric vehicles (EVs) as distributed storage devices have the potential to provide frequency regulation services due to the fast adjustment of charging/discharging power. Along with the policy incentives, it is practical for EVs to take part in the regulation market through the aggregator. An optimal control strategy based on reinforcement learning (RL) for electric vehicles (EVs) in distributed networks is proposed in this paper. The overall goal is to follow the regulation signals sent by the system operator in the real time regulation market by controlling the EVs in the parking lot. To achieve this, the reinforcement learning algorithm is employed to optimize the charge and discharge strategy of the EVs, so that the aggregator optimally allocates the regulation power and the baseline charging power to EVs to respond to the regulation signals for the best regulation performance. Comprehensive simulation studies have been carried out based on the data of PJM electricity market and the results show that the regulation performance based on the control strategy is excellent in both cases of traditional and dynamic regulation signals.
{"title":"Optimal Control Strategy for Plug-in Electric Vehicles Based on Reinforcement Learning in Distribution Networks","authors":"X. Ye, T. Ji, M. S. Li, Q. Wu","doi":"10.1109/POWERCON.2018.8602101","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602101","url":null,"abstract":"Electric vehicles (EVs) as distributed storage devices have the potential to provide frequency regulation services due to the fast adjustment of charging/discharging power. Along with the policy incentives, it is practical for EVs to take part in the regulation market through the aggregator. An optimal control strategy based on reinforcement learning (RL) for electric vehicles (EVs) in distributed networks is proposed in this paper. The overall goal is to follow the regulation signals sent by the system operator in the real time regulation market by controlling the EVs in the parking lot. To achieve this, the reinforcement learning algorithm is employed to optimize the charge and discharge strategy of the EVs, so that the aggregator optimally allocates the regulation power and the baseline charging power to EVs to respond to the regulation signals for the best regulation performance. Comprehensive simulation studies have been carried out based on the data of PJM electricity market and the results show that the regulation performance based on the control strategy is excellent in both cases of traditional and dynamic regulation signals.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114333367","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601937
J. Guan, Yonghai Xu, Mengmeng Zhang, Xu Zhang
This paper focused on dual-active-bridge (DAB) DC/DC converter, which is a crucial part of power electronic transformer (PET). Through the analysis of DAB DC/DC converter with single-phase-shift (SPS) control and dual-phase-shift (DPS) control, the concise expressions of transmission power and backflow power are deduced, while the equivalent circuits are given. Aiming to obtain the optimal combination between D1 (inner phase shift ratio) and D2 (outer phase shift ratio), an optimal DPS control scheme is proposed for DPS control by employing an evaluation coefficient to investigate the influence of the disturbances of control variables on the transmission power and backflow power. It can minimize the backflow power and reduce the power losses. Simulation results are provided to validate the correctness of theoretical analysis and the effectiveness of the proposed scheme.
{"title":"Optimized Control of Dual-active-bridge DC/DC Converter Based Power Electronic Transformer With Dual-phase-shift Control","authors":"J. Guan, Yonghai Xu, Mengmeng Zhang, Xu Zhang","doi":"10.1109/POWERCON.2018.8601937","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601937","url":null,"abstract":"This paper focused on dual-active-bridge (DAB) DC/DC converter, which is a crucial part of power electronic transformer (PET). Through the analysis of DAB DC/DC converter with single-phase-shift (SPS) control and dual-phase-shift (DPS) control, the concise expressions of transmission power and backflow power are deduced, while the equivalent circuits are given. Aiming to obtain the optimal combination between D1 (inner phase shift ratio) and D2 (outer phase shift ratio), an optimal DPS control scheme is proposed for DPS control by employing an evaluation coefficient to investigate the influence of the disturbances of control variables on the transmission power and backflow power. It can minimize the backflow power and reduce the power losses. Simulation results are provided to validate the correctness of theoretical analysis and the effectiveness of the proposed scheme.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321577","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8602245
D. Feng, Zhanfeng Deng, Tongxun Wang, Ying-ying Liu, Lingling Xu
With more and more disturbance sources such as high-speed railway and renewable energy generation, the power quality problem has become increasingly complex, which seriously affects the reliable operation of the power grid. Identifying the types of disturbance sources that cause power quality events based on power quality monitoring data will support for targeted control disturbance sources, also provide evidences for determining contribution between customers and operators. This paper proposes a method for identification of disturbance sources based on random forests. Firstly, it chooses analysis indices and extracts both temporal and statistical characteristics of selected indicators from historical data. After balancing datasets, the data are used as eigenvectors of training random forests. Secondly, combining with OOB(out-of-bag), one of evaluation indicators, adjustment of random forest parameters in a closed-loop is used to construct cost-optimized random forest classifier. Thirdly, the type of disturbances is on-line identified using the classifer. Based on data from a power quality monitoring system in a regional grid of China, it is verified that the method has a high accuracy for identifying disturbance sources such as electric railways, converter stations, wind power, photovoltaics, and smelters.
{"title":"Identification of disturbance sources based on random forest model","authors":"D. Feng, Zhanfeng Deng, Tongxun Wang, Ying-ying Liu, Lingling Xu","doi":"10.1109/POWERCON.2018.8602245","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8602245","url":null,"abstract":"With more and more disturbance sources such as high-speed railway and renewable energy generation, the power quality problem has become increasingly complex, which seriously affects the reliable operation of the power grid. Identifying the types of disturbance sources that cause power quality events based on power quality monitoring data will support for targeted control disturbance sources, also provide evidences for determining contribution between customers and operators. This paper proposes a method for identification of disturbance sources based on random forests. Firstly, it chooses analysis indices and extracts both temporal and statistical characteristics of selected indicators from historical data. After balancing datasets, the data are used as eigenvectors of training random forests. Secondly, combining with OOB(out-of-bag), one of evaluation indicators, adjustment of random forest parameters in a closed-loop is used to construct cost-optimized random forest classifier. Thirdly, the type of disturbances is on-line identified using the classifer. Based on data from a power quality monitoring system in a regional grid of China, it is verified that the method has a high accuracy for identifying disturbance sources such as electric railways, converter stations, wind power, photovoltaics, and smelters.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478904","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 : 2018-11-01DOI: 10.1109/POWERCON.2018.8601785
Bin Ye, Xuemei Shi, Dongsen Li, Ciwei Gao
This paper studies the scenario of multi-energy complementary system accessing medium-voltage distribution network, and quantitatively evaluates the impact of multi-energy complementary system (M-E) on the reliability of energy supply of medium-voltage distribution network (DN). Considering that M-E integrates a variety of energy coupling components with energy conversion functions, this undoubtedly greatly increases the reliability of energy supply. In this paper, the connotation of energy supply reliability is extended from a single grid to a thermo-electric coupling network, and the influence of network operation constraints formed by coupling on solving energy flow is fully considered. Based on the network operation constraints of the electro-thermal-gas coupling network, the cogeneration unit is used as the coupling node, and finally the reliability level under different wiring modes when accessing M-E is quantified. The results show that the M-E has a significant improvement in the reliability of the integrated energy system (IES).
{"title":"The Impact of Multi-energy Complementary System on the Reliability of Energy Supply of Distribution","authors":"Bin Ye, Xuemei Shi, Dongsen Li, Ciwei Gao","doi":"10.1109/POWERCON.2018.8601785","DOIUrl":"https://doi.org/10.1109/POWERCON.2018.8601785","url":null,"abstract":"This paper studies the scenario of multi-energy complementary system accessing medium-voltage distribution network, and quantitatively evaluates the impact of multi-energy complementary system (M-E) on the reliability of energy supply of medium-voltage distribution network (DN). Considering that M-E integrates a variety of energy coupling components with energy conversion functions, this undoubtedly greatly increases the reliability of energy supply. In this paper, the connotation of energy supply reliability is extended from a single grid to a thermo-electric coupling network, and the influence of network operation constraints formed by coupling on solving energy flow is fully considered. Based on the network operation constraints of the electro-thermal-gas coupling network, the cogeneration unit is used as the coupling node, and finally the reliability level under different wiring modes when accessing M-E is quantified. The results show that the M-E has a significant improvement in the reliability of the integrated energy system (IES).","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121593579","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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