Pub Date : 2019-03-01DOI: 10.1109/ICGEA.2019.8880740
Chang Jianghua, Liu Qingxiu, Xuan Cuihua
The wire-line coring drill rod is easy to vibrate under the influence of gravity in tunnel horizontal hole construction because of its thin wall, the friction between rod and hole wall causes the damage to the rod. The newly developed high strength wire line drill rod adopts the structure which welds the rod and the male and female joints and thickens the male and female joints to improve the strength. Aiming at the present situation that the joint threads of rod are easy to be damaged, an axisymmetric analysis model of the joint is established, After meshing, constraint, load addition and data analysis, the stress distribution of the rod under the pull torsion load and compression torsion load is obtained, and the results shows that the strength of the male and female joints of the rod meets the strength demand. This rod is equipped with ZDY1000G full hydraulic drilling rig, BW-250 mud pump and wire-line coring drilling tool, and their industrial tests with no break of rod or excessive wear of joint were carried out in Baoji Gold Mine and Luming Gold Mine, the cumulative footage of the tests reached 1442.9 m, which verifies the reliability of the rod effectively.
{"title":"Design of the Wire-Line Coring Drill Rod and Static Analysis on Its Joint","authors":"Chang Jianghua, Liu Qingxiu, Xuan Cuihua","doi":"10.1109/ICGEA.2019.8880740","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880740","url":null,"abstract":"The wire-line coring drill rod is easy to vibrate under the influence of gravity in tunnel horizontal hole construction because of its thin wall, the friction between rod and hole wall causes the damage to the rod. The newly developed high strength wire line drill rod adopts the structure which welds the rod and the male and female joints and thickens the male and female joints to improve the strength. Aiming at the present situation that the joint threads of rod are easy to be damaged, an axisymmetric analysis model of the joint is established, After meshing, constraint, load addition and data analysis, the stress distribution of the rod under the pull torsion load and compression torsion load is obtained, and the results shows that the strength of the male and female joints of the rod meets the strength demand. This rod is equipped with ZDY1000G full hydraulic drilling rig, BW-250 mud pump and wire-line coring drilling tool, and their industrial tests with no break of rod or excessive wear of joint were carried out in Baoji Gold Mine and Luming Gold Mine, the cumulative footage of the tests reached 1442.9 m, which verifies the reliability of the rod effectively.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126171279","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880731
Dongdong Zhang, Ni Xijun, Shuzheng Wang
In areas with seasonal wind direction, transmission line insulator surface pollution layer will distribute nonuniformly between windward and leeward sides, performing like a fan shape. Previous studies found that this kind of nonuniform pollution lowers the flashover gradient of insulator. In this paper a continuous work intended for predicting de critical flashover voltage of long insulator string under windward/leeward side non-uniform pollution was presented. This research includes the establishment of a parallel resistance model considering multi-arc, a prediction of dc critical flashover voltage basing on the proposed model, and the verification through various test data from previous artificial tests. Also the corresponding discussion concerning the variation rule of surface residual pollution layer resistance, arc propagation process under different non-uniformities was made. Research results indicate that the proposed model is validated to be feasible to predict the dc flashover voltage of long string insulator with given pollution non-uniformity K and T. Under windward/leeward side non-uniform pollution, the residual pollution layer resistance decreases, causing the electrical property reduction of insulator string.
{"title":"Modeling of DC Critical Flashover of Transmission Line Insulator Long String under Windward/Leeward Side non-Uniform Pollution Condition","authors":"Dongdong Zhang, Ni Xijun, Shuzheng Wang","doi":"10.1109/ICGEA.2019.8880731","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880731","url":null,"abstract":"In areas with seasonal wind direction, transmission line insulator surface pollution layer will distribute nonuniformly between windward and leeward sides, performing like a fan shape. Previous studies found that this kind of nonuniform pollution lowers the flashover gradient of insulator. In this paper a continuous work intended for predicting de critical flashover voltage of long insulator string under windward/leeward side non-uniform pollution was presented. This research includes the establishment of a parallel resistance model considering multi-arc, a prediction of dc critical flashover voltage basing on the proposed model, and the verification through various test data from previous artificial tests. Also the corresponding discussion concerning the variation rule of surface residual pollution layer resistance, arc propagation process under different non-uniformities was made. Research results indicate that the proposed model is validated to be feasible to predict the dc flashover voltage of long string insulator with given pollution non-uniformity K and T. Under windward/leeward side non-uniform pollution, the residual pollution layer resistance decreases, causing the electrical property reduction of insulator string.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133318582","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880770
Pengfei Cui, Axin Ding, Ying Shen, Ya-Xiong Wang
In this work, a fuzzy logic control-based energy management strategy is proposed for a fuel cell (FC)/battery hybrid electric vehicle. The model of the proposed hybrid power system is developed in the environment of MATLAB/Simulink. An energy management according to fuzzy rules is designed to regulate FC working in the high efficiency area and protect it from suffering rapidly changing of load power. The reference power of FC is determined in real-time by accumulating its power increment which performs FC power changing from one operating point to another within the high efficiency area limiting by the maximum power slope. The proposed control effect is compared with a simple logic control strategy in New Europe Driving Cycle (NEDC).
{"title":"Hybrid Fuel Cell/Battery Power System Energy Management by Using Fuzzy Logic Control for Vehicle Application","authors":"Pengfei Cui, Axin Ding, Ying Shen, Ya-Xiong Wang","doi":"10.1109/ICGEA.2019.8880770","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880770","url":null,"abstract":"In this work, a fuzzy logic control-based energy management strategy is proposed for a fuel cell (FC)/battery hybrid electric vehicle. The model of the proposed hybrid power system is developed in the environment of MATLAB/Simulink. An energy management according to fuzzy rules is designed to regulate FC working in the high efficiency area and protect it from suffering rapidly changing of load power. The reference power of FC is determined in real-time by accumulating its power increment which performs FC power changing from one operating point to another within the high efficiency area limiting by the maximum power slope. The proposed control effect is compared with a simple logic control strategy in New Europe Driving Cycle (NEDC).","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132247616","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880785
Qing Fang, A. Abdolkhalig, Liping Ju, Yuwei Li, Yushu Zhang, F. Abusief
This paper presents a new method for calculating the current of closed transition in distribution networks. The methodology used starts by applying the Thevenin equivalent circuit in combination with power flow calculation for calculating the current value and then, the calculated value of current can help in choosing the timing of the closed transition operation. Next, global sensitivity analysis guarantees that the calculated value of the current is not vulnerable to any measurement errors. The proposed method is validated using the case study in Beijing. The validation test case has shown robustness and good numerical accuracy on low-voltage distribution networks.
{"title":"Current Calculation and Sensitivity Analysis during Distribution Network Closed Transition Transfer","authors":"Qing Fang, A. Abdolkhalig, Liping Ju, Yuwei Li, Yushu Zhang, F. Abusief","doi":"10.1109/ICGEA.2019.8880785","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880785","url":null,"abstract":"This paper presents a new method for calculating the current of closed transition in distribution networks. The methodology used starts by applying the Thevenin equivalent circuit in combination with power flow calculation for calculating the current value and then, the calculated value of current can help in choosing the timing of the closed transition operation. Next, global sensitivity analysis guarantees that the calculated value of the current is not vulnerable to any measurement errors. The proposed method is validated using the case study in Beijing. The validation test case has shown robustness and good numerical accuracy on low-voltage distribution networks.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132387993","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880772
Widyastuti Kusuma Wardhani, A. F. Lu’ayi, Helmya Hilda Putri Fatima
Food needs in Indonesia increase unanimously in line with population growth. The large number of population indicates certain behavioral food consumption especially the preference in ice cream. Ice cream is relatively well balanced, wholesome, easily digestible and delicious food. Sector industry is the third largest sector for using energy under household and transportation. Hence, implementing energy efficiency programs for industry is necessity. The study aims to determine the energy efficiency and its effect in reducing CO2 emission. The study had used the combination of two methods, quantitative and qualitative method. Quantitative method was conducted by using analysis data from field survey, while the qualitative method by interview and study literature. The study discusses about energy efficiency implemented in one of ice cream factory in Indonesia, which can reduce 3 percent of energy consumption and CO2 emission. This attempt gives advantages in economical aspect, environmental aspect, employee morals, compliance, and corporate image.
{"title":"Potential Reducing CO2 Emission for Ice Cream Industry through Energy Efficiency Improvement in Indonesia","authors":"Widyastuti Kusuma Wardhani, A. F. Lu’ayi, Helmya Hilda Putri Fatima","doi":"10.1109/ICGEA.2019.8880772","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880772","url":null,"abstract":"Food needs in Indonesia increase unanimously in line with population growth. The large number of population indicates certain behavioral food consumption especially the preference in ice cream. Ice cream is relatively well balanced, wholesome, easily digestible and delicious food. Sector industry is the third largest sector for using energy under household and transportation. Hence, implementing energy efficiency programs for industry is necessity. The study aims to determine the energy efficiency and its effect in reducing CO2 emission. The study had used the combination of two methods, quantitative and qualitative method. Quantitative method was conducted by using analysis data from field survey, while the qualitative method by interview and study literature. The study discusses about energy efficiency implemented in one of ice cream factory in Indonesia, which can reduce 3 percent of energy consumption and CO2 emission. This attempt gives advantages in economical aspect, environmental aspect, employee morals, compliance, and corporate image.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127257769","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880749
Bo Xu, Shenzhi Xu, Qingzhen Zhang, Yumin Zhang
Unlike previous research which didn't consider opportunistic maintenance between dependent power equipment in power system, opportunistic maintenance strategy is modeled and the impact of opportunistic maintenance strategy on maintenance scheduling of transmission bays is investigated in this paper. According to the economic dependence within a transmission bay, the concept of selective opportunistic maintenance is proposed. In the selective opportunistic maintenance problem, when the equipment in a transmission bay fails, decisions have to be made on whether other equipment is preventively maintained. Firstly, in order to determine the optimal inspection rates and opportunistic maintenance strategy for power equipment, the availability function of the transmission bay is derived. And then, expected system outage cost incurred from equipment maintenance or failure are quantified. Finally, the system maintenance scheduling model is given, with the goal of minimizing the system outage cost. Case studies on typical transmission bays reveal feasibility of the proposed model.
{"title":"Maintenance Scheduling of Transmission Bays Considering Selective Opportunistic Maintenance Strategy","authors":"Bo Xu, Shenzhi Xu, Qingzhen Zhang, Yumin Zhang","doi":"10.1109/ICGEA.2019.8880749","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880749","url":null,"abstract":"Unlike previous research which didn't consider opportunistic maintenance between dependent power equipment in power system, opportunistic maintenance strategy is modeled and the impact of opportunistic maintenance strategy on maintenance scheduling of transmission bays is investigated in this paper. According to the economic dependence within a transmission bay, the concept of selective opportunistic maintenance is proposed. In the selective opportunistic maintenance problem, when the equipment in a transmission bay fails, decisions have to be made on whether other equipment is preventively maintained. Firstly, in order to determine the optimal inspection rates and opportunistic maintenance strategy for power equipment, the availability function of the transmission bay is derived. And then, expected system outage cost incurred from equipment maintenance or failure are quantified. Finally, the system maintenance scheduling model is given, with the goal of minimizing the system outage cost. Case studies on typical transmission bays reveal feasibility of the proposed model.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"199 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114000799","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880774
Chen Hou, Hua Han, Zhangjie Liu, M. Su
The angle between wind direction and wind turbine affects the utilization efficiency of wind power generation. Ideally, the wind power generation efficiency is the highest when wind direction is perpendicular to the wind turbine. However, the wind direction is changing all the time, so it does not always keep perpendicular to the wind turbine. Therefore the efficiency of wind power generation can be improved by adjust the wind turbine perpendicular to wind direction. This paper proposes a wind direction forecasting method based on z _score normalization and LSTM. Z_ score normalization is used to preprocess data of wind direction, then the normalized data is feed to the LSTM neural network to train. The future wind direction is predicted by the trained LSTM neural network to adjust the angle of the wind turbine to make it as close as possible to be orthogonal with the wind direction so that maximize the efficiency of the wind. The experimental results show that the LSTM neural can predict the short-term wind direction angle exactly compared with benchmarks.
{"title":"A Wind Direction Forecasting Method Based on Z_Score Normalization and Long Short_ Term Memory","authors":"Chen Hou, Hua Han, Zhangjie Liu, M. Su","doi":"10.1109/ICGEA.2019.8880774","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880774","url":null,"abstract":"The angle between wind direction and wind turbine affects the utilization efficiency of wind power generation. Ideally, the wind power generation efficiency is the highest when wind direction is perpendicular to the wind turbine. However, the wind direction is changing all the time, so it does not always keep perpendicular to the wind turbine. Therefore the efficiency of wind power generation can be improved by adjust the wind turbine perpendicular to wind direction. This paper proposes a wind direction forecasting method based on z _score normalization and LSTM. Z_ score normalization is used to preprocess data of wind direction, then the normalized data is feed to the LSTM neural network to train. The future wind direction is predicted by the trained LSTM neural network to adjust the angle of the wind turbine to make it as close as possible to be orthogonal with the wind direction so that maximize the efficiency of the wind. The experimental results show that the LSTM neural can predict the short-term wind direction angle exactly compared with benchmarks.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121106786","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880766
Hui Wang, Zhenxi Wu, Guangze Shi, Zhangjie Liu
The SOC balancing problem is an important question in energy storage system. Up to now, the SOC balancing control for hybrid-type energy system has not been documented. To deal with the SOC balancing problem for the complex hybrid-type energy storage system. This paper proposes a SOC balance control which uses centralized control for local units in cascaded-type energy storage system and modified droop control to adjust the performance of cascaded-type energy storage system together. In this scheme, regardless of charging mode or discharging mode, the proposed control can work well and the SOC balancing is guaranteed. Finally, the theory analysis and simulation results can prove the correctness and effectiveness of SOC convergence among all storage units in entire system under proposed control.
{"title":"SOC Balancing Method for Hybrid Energy Storage System in Microgrid","authors":"Hui Wang, Zhenxi Wu, Guangze Shi, Zhangjie Liu","doi":"10.1109/ICGEA.2019.8880766","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880766","url":null,"abstract":"The SOC balancing problem is an important question in energy storage system. Up to now, the SOC balancing control for hybrid-type energy system has not been documented. To deal with the SOC balancing problem for the complex hybrid-type energy storage system. This paper proposes a SOC balance control which uses centralized control for local units in cascaded-type energy storage system and modified droop control to adjust the performance of cascaded-type energy storage system together. In this scheme, regardless of charging mode or discharging mode, the proposed control can work well and the SOC balancing is guaranteed. Finally, the theory analysis and simulation results can prove the correctness and effectiveness of SOC convergence among all storage units in entire system under proposed control.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126678590","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880789
Maimaiti Abulizi, Lirong Xie, Kaifeng Wang
During recent years wind turbine technology has undergone rapid developments. Doubly fed induction generators (DFIG) are very sensitive to the disturbances of grid, the stator of DFIG should be kept connection to the grid faults during period. The flux dynamic response and rotor overvoltage induced by the grid faults and recovery threaten to damage the vulnerable rotor converter. By the from the basic mathematical model doubly-fed generator q-d coordinates reference frame, using the MATLAB/SIMULINK platform to 1.5 MW wind power system simulation model is established. Based on analysis of change of the DFIG stator and rotor flux, voltage, current and active and reactive power, the open-circuit faults of grid and its effect on current and other variables of DFIG were analyzed in the beginning. In the present work, we addressed open-circuits faults of grid situations that have shown their influence on the generator and the behavior of the wind over the defects which are briefly discussed based on simulation results.
{"title":"Simulation Study of DFIG Wind Turbine under Grid Fault Open-Circuit","authors":"Maimaiti Abulizi, Lirong Xie, Kaifeng Wang","doi":"10.1109/ICGEA.2019.8880789","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880789","url":null,"abstract":"During recent years wind turbine technology has undergone rapid developments. Doubly fed induction generators (DFIG) are very sensitive to the disturbances of grid, the stator of DFIG should be kept connection to the grid faults during period. The flux dynamic response and rotor overvoltage induced by the grid faults and recovery threaten to damage the vulnerable rotor converter. By the from the basic mathematical model doubly-fed generator q-d coordinates reference frame, using the MATLAB/SIMULINK platform to 1.5 MW wind power system simulation model is established. Based on analysis of change of the DFIG stator and rotor flux, voltage, current and active and reactive power, the open-circuit faults of grid and its effect on current and other variables of DFIG were analyzed in the beginning. In the present work, we addressed open-circuits faults of grid situations that have shown their influence on the generator and the behavior of the wind over the defects which are briefly discussed based on simulation results.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129942366","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 : 2019-03-01DOI: 10.1109/ICGEA.2019.8880761
K. Wu, Hongtao Wang, B. Zou
This paper focuses on optimal sizing and placement of distributed generation (DG) accessed to distribution system. Considering uncertainty and correlation between wind speed, solar irradiation and load, probabilistic power flow calculation are carried out by Monte Carlo model based on Bayesian network. It saves much computational costs, compared with calculation based on time series. Thus a probability optimization model aimed at minimizing total cost can be proposed with the constraints of voltage and branch power flow. Genetic algorithm with elite retention (GAER) is used to obtain the optimal results. By this model, annual expected generation capacity and cost of DG are estimated in better precision. Branch power flow is proved as one of the main constraints.
{"title":"Optimal Sizing and Placement of Distributed Generation Using Genetic Algorithm Based on Bayesian Network","authors":"K. Wu, Hongtao Wang, B. Zou","doi":"10.1109/ICGEA.2019.8880761","DOIUrl":"https://doi.org/10.1109/ICGEA.2019.8880761","url":null,"abstract":"This paper focuses on optimal sizing and placement of distributed generation (DG) accessed to distribution system. Considering uncertainty and correlation between wind speed, solar irradiation and load, probabilistic power flow calculation are carried out by Monte Carlo model based on Bayesian network. It saves much computational costs, compared with calculation based on time series. Thus a probability optimization model aimed at minimizing total cost can be proposed with the constraints of voltage and branch power flow. Genetic algorithm with elite retention (GAER) is used to obtain the optimal results. By this model, annual expected generation capacity and cost of DG are estimated in better precision. Branch power flow is proved as one of the main constraints.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128898675","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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