Pub Date : 2017-05-06DOI: 10.1109/ICPS.2017.7945097
T. Ku, B. Ke, Y. Ke, Chenglin Wen
This paper proposed smart charging management for electric vehicles (EVs). According to the battery state-of-charge (SOC), charging period and transformer loading, a smart charging method was designed by using fuzzy theory to control charging station when quickly or slowly charging mode is needed. To verify performance of proposed method, the commercial customers were selected on distribution transformer and considering transformer loading to set charging mode on each charging station to prevent transformer over loading when all of EVs are in charging. Finally, the proposed method can ensure all of EVs are full charge and enhance power quality and efficiency of distribution transformers.
{"title":"Application of fuzzy control for smart charging of electric vehicles","authors":"T. Ku, B. Ke, Y. Ke, Chenglin Wen","doi":"10.1109/ICPS.2017.7945097","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945097","url":null,"abstract":"This paper proposed smart charging management for electric vehicles (EVs). According to the battery state-of-charge (SOC), charging period and transformer loading, a smart charging method was designed by using fuzzy theory to control charging station when quickly or slowly charging mode is needed. To verify performance of proposed method, the commercial customers were selected on distribution transformer and considering transformer loading to set charging mode on each charging station to prevent transformer over loading when all of EVs are in charging. Finally, the proposed method can ensure all of EVs are full charge and enhance power quality and efficiency of distribution transformers.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802084","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 : 2017-05-06DOI: 10.1109/ICPS.2017.7945098
B. Ke, K. Lian, Y. Ke, T. Huang, Muhammad Risky Mirwandhana
This paper presents two strategies to improve energy efficient operation in a mass rapid transit (MRT) system. First, a controller based on fuzzy logic control is developed to provide speed reference needed by the trains. The controller model is developed by considering 2 inputs: third rail voltage condition and deviation between scheduled time and actual operation time. The aim of the controller in this research is to reduce energy consumption and maintain inter-station running time of the train. Second, an on-board energy storage system (ESS) which uses a supercapacitor in order to store energy is modeled. A half-bridge bidirectional converter is used to determine the charging or discharging modes of the supercapacitor. The charging and discharging currents are controlled by a simple PI controller. Four case studies are investigated to show the effects of the speed controller and the supercapacitor. The simulation results indicate that if booth speed controller and ESS are used in a MRT, the fluctuation of third rail voltage will be kept small and the energy required from TSS is also reduced.
{"title":"Control strategies for improving energy efficiency of train operation and reducing DC traction peak power in mass Rapid Transit System","authors":"B. Ke, K. Lian, Y. Ke, T. Huang, Muhammad Risky Mirwandhana","doi":"10.1109/ICPS.2017.7945098","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945098","url":null,"abstract":"This paper presents two strategies to improve energy efficient operation in a mass rapid transit (MRT) system. First, a controller based on fuzzy logic control is developed to provide speed reference needed by the trains. The controller model is developed by considering 2 inputs: third rail voltage condition and deviation between scheduled time and actual operation time. The aim of the controller in this research is to reduce energy consumption and maintain inter-station running time of the train. Second, an on-board energy storage system (ESS) which uses a supercapacitor in order to store energy is modeled. A half-bridge bidirectional converter is used to determine the charging or discharging modes of the supercapacitor. The charging and discharging currents are controlled by a simple PI controller. Four case studies are investigated to show the effects of the speed controller and the supercapacitor. The simulation results indicate that if booth speed controller and ESS are used in a MRT, the fluctuation of third rail voltage will be kept small and the energy required from TSS is also reduced.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116817157","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945106
G. Parise, R. Lamedica, M. Pompili, L. Parise
Advanced guidelines have to support the design of every electric power systems in hunting performances of safety, dependability and costs saving. Particularly, power systems, critical for the mission of their loads and/or equalized to mission critical for the vulnerability of their supplying network, need a “partition system”, local fortified structure, interface between network and utilization, designed as a service continuity “castle” and managed to guarantee an adequate response to every emergency. The paper emphasizes the importance of a Business Continuity Management (BCM), qualified to a comprehensive design of the system throughout its life cycle complying with the criteria of the ‘Plan-Do-Check-Act’ (PDCA) that is taking care of all the exigencies with both the approaches of the installer and of the operator (In-Op design). This operational management must ensure the efficacy of the partition system in maintaining dependability and functional safety against the loss service continuity during fault events, maintenance demands and emergencies for external stresses. In fault events, the protection system contemplates the starting of a countdown time for a prompt response of a qualified team must in solving the problem before the system collapses causing the automatic disconnection of supply.
{"title":"Electrical Business Continuity Management: Towards a code","authors":"G. Parise, R. Lamedica, M. Pompili, L. Parise","doi":"10.1109/ICPS.2017.7945106","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945106","url":null,"abstract":"Advanced guidelines have to support the design of every electric power systems in hunting performances of safety, dependability and costs saving. Particularly, power systems, critical for the mission of their loads and/or equalized to mission critical for the vulnerability of their supplying network, need a “partition system”, local fortified structure, interface between network and utilization, designed as a service continuity “castle” and managed to guarantee an adequate response to every emergency. The paper emphasizes the importance of a Business Continuity Management (BCM), qualified to a comprehensive design of the system throughout its life cycle complying with the criteria of the ‘Plan-Do-Check-Act’ (PDCA) that is taking care of all the exigencies with both the approaches of the installer and of the operator (In-Op design). This operational management must ensure the efficacy of the partition system in maintaining dependability and functional safety against the loss service continuity during fault events, maintenance demands and emergencies for external stresses. In fault events, the protection system contemplates the starting of a countdown time for a prompt response of a qualified team must in solving the problem before the system collapses causing the automatic disconnection of supply.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114736478","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945123
Shengqiang Li, Xiaodong Liang, Wilsun Xu
Industrial facility loads have significant impact on power system stability. Due to their large power demand and complicated impact on system dynamic performance, it is critical to model them properly. Because the knowledge of industry-specific load composition data are limited, load model accuracy of the current utility practice is greatly compromised. In this paper, a new dynamic load modeling method is proposed by combining a template of a specific type of industrial facilities and the composite load model structure (CLOD) in the commercial software PSS/E. This method is relatively easier to implement in PSS/E and can still achieve reasonable accuracy. The proposed method consists of three steps: 1) create a template by conducting an in-depth load survey for a specific type of industrial facilities; 2) determine load composition of the facility that is required by PSS/E CLOD load model structure using the template; 3) create a PSS/E CLOD load model of the facility using the load composition data. To validate the proposed method, a case study and a sensitivity study are conducted using a real 110-megawatt (MW) Kraft paper mill facility. The case study verifies the accuracy of the proposed model by comparing simulation results with actual field measurements of the 110 MW Kraft paper mill facility; the sensitivity study shows the robustness of the proposed modeling method when subjected to load parameters variation. The proposed method can serve as a generic method for dynamic load modeling of any type of industrial facilities.
{"title":"Dynamic load modeling for industrial facilities using template and PSS/E composite load model structure CLOD","authors":"Shengqiang Li, Xiaodong Liang, Wilsun Xu","doi":"10.1109/ICPS.2017.7945123","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945123","url":null,"abstract":"Industrial facility loads have significant impact on power system stability. Due to their large power demand and complicated impact on system dynamic performance, it is critical to model them properly. Because the knowledge of industry-specific load composition data are limited, load model accuracy of the current utility practice is greatly compromised. In this paper, a new dynamic load modeling method is proposed by combining a template of a specific type of industrial facilities and the composite load model structure (CLOD) in the commercial software PSS/E. This method is relatively easier to implement in PSS/E and can still achieve reasonable accuracy. The proposed method consists of three steps: 1) create a template by conducting an in-depth load survey for a specific type of industrial facilities; 2) determine load composition of the facility that is required by PSS/E CLOD load model structure using the template; 3) create a PSS/E CLOD load model of the facility using the load composition data. To validate the proposed method, a case study and a sensitivity study are conducted using a real 110-megawatt (MW) Kraft paper mill facility. The case study verifies the accuracy of the proposed model by comparing simulation results with actual field measurements of the 110 MW Kraft paper mill facility; the sensitivity study shows the robustness of the proposed modeling method when subjected to load parameters variation. The proposed method can serve as a generic method for dynamic load modeling of any type of industrial facilities.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134262585","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}
With the development of renewable resources, large amounts of Distributed Generation (DG) units penetrated into distribution network. Instead of traditional passive PQ bus equivalence, DG characterized Active Distribution Network (ADN) need to be appropriate modeled as active components to represents its dynamic behaviors. Though existed ADN equivalent research considered the inverter-based DG units model, the uncertainties impacts, such as system faults or contingencies, between ADN and grid are not to be investigated on the model. Based on previous dynamic equivalent of ADN process, the equivalent model may not robust enough to reflect the correlated impacts between original ADN and transmission system. To be specific, equivalent model cannot predict the unknown fault based on historical analyzed faults: when the fault condition changed, the ADN model may not be utilized any more. This phenomenon terms as weak Model Generalization Ability (MGA). In order to overcome the issues, this paper presents a novel approach to improve model generalization ability in dynamic equivalent of ADN. An algorithm based on correlation and trajectory sensitivity analysis are introduced to screen out “Key Parameters”, then a fault information database which contains multiple faults is established. This multiple faults and “Key Parameter” based parameter identification scheme can eliminate the influence contaminations on modeling process effectively. The MGA of ADN equivalent model is able to increase significantly through the proposed approach. A simulation case on modified IEEE two-area four-machine power system with sample results are also provided to verify the improvement of MGA.
{"title":"A novel approach to improve model generalization ability in dynamic equivalent of active distribution network","authors":"Peng Wang, Zhenyuan Zhang, Qi Huang, Jian Li, Jianbo Yi, Weijen Lee","doi":"10.1109/ICPS.2017.7945127","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945127","url":null,"abstract":"With the development of renewable resources, large amounts of Distributed Generation (DG) units penetrated into distribution network. Instead of traditional passive PQ bus equivalence, DG characterized Active Distribution Network (ADN) need to be appropriate modeled as active components to represents its dynamic behaviors. Though existed ADN equivalent research considered the inverter-based DG units model, the uncertainties impacts, such as system faults or contingencies, between ADN and grid are not to be investigated on the model. Based on previous dynamic equivalent of ADN process, the equivalent model may not robust enough to reflect the correlated impacts between original ADN and transmission system. To be specific, equivalent model cannot predict the unknown fault based on historical analyzed faults: when the fault condition changed, the ADN model may not be utilized any more. This phenomenon terms as weak Model Generalization Ability (MGA). In order to overcome the issues, this paper presents a novel approach to improve model generalization ability in dynamic equivalent of ADN. An algorithm based on correlation and trajectory sensitivity analysis are introduced to screen out “Key Parameters”, then a fault information database which contains multiple faults is established. This multiple faults and “Key Parameter” based parameter identification scheme can eliminate the influence contaminations on modeling process effectively. The MGA of ADN equivalent model is able to increase significantly through the proposed approach. A simulation case on modified IEEE two-area four-machine power system with sample results are also provided to verify the improvement of MGA.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961965","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945132
Salman Rezaei
Synchronous Resonance (SSR) is a phenomenon in which electrical energy is exchanged between generators and transmission systems below power frequency. It can be caused due to interaction of a series compensated transmission line with a generator; in addition, results in oscillation in the shaft and power swing. SSR causes increasing the magnitudes of voltage and current consequently occurrence of ferroresonance. It is obviously clear that protective relays are affected in such conditions. Although SSR is damped by FACTS devices protective relays must be adaptive to prevent mal operation independently. In this paper, Manitoba Hydro electrical network with series capacitors is simulated to investigate impact of SSR on operation of overcurrent relay. Ferroresonance occurs in most SSR conditions. Hence, in order to distinguish protection of hydro generator against sub harmonics, which interact with natural frequencies of the rotor; in addition, increasing reliability and security of protection a logical SSR detection algorithm based on sub harmonic measurement and ferroresonance analysis in time domain is proposed for overcurrent relay and examined in the network.
{"title":"Impact of Sub Synchronous Resonance on operation of protective relays and prevention method","authors":"Salman Rezaei","doi":"10.1109/ICPS.2017.7945132","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945132","url":null,"abstract":"Synchronous Resonance (SSR) is a phenomenon in which electrical energy is exchanged between generators and transmission systems below power frequency. It can be caused due to interaction of a series compensated transmission line with a generator; in addition, results in oscillation in the shaft and power swing. SSR causes increasing the magnitudes of voltage and current consequently occurrence of ferroresonance. It is obviously clear that protective relays are affected in such conditions. Although SSR is damped by FACTS devices protective relays must be adaptive to prevent mal operation independently. In this paper, Manitoba Hydro electrical network with series capacitors is simulated to investigate impact of SSR on operation of overcurrent relay. Ferroresonance occurs in most SSR conditions. Hence, in order to distinguish protection of hydro generator against sub harmonics, which interact with natural frequencies of the rotor; in addition, increasing reliability and security of protection a logical SSR detection algorithm based on sub harmonic measurement and ferroresonance analysis in time domain is proposed for overcurrent relay and examined in the network.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123018520","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945099
Ming-Tse Kuo, Shiue‐Der Lu, Ming-Chang Tsou
By integrating simulated annealing and the interactive best-compromise approach, a method to determine economic dispatch in power systems, while accounting for carbon emissions, is proposed in this study. To satisfy load demands and operational constraints, traditional economic dispatches are determined by minimizing total power generation costs based on the power output of the generating units in a system. In the proposed method, carbon emissions are taken into consideration. A carbon dioxide (CO2) equivalent model that accounted for the various fuel types (e.g., coal, oil, and natural gas) used in power generation was created. The correlation between power generation costs and carbon emission was determined according to CO2 emission equivalent tradeoff and incremental cost CO2 reduction curves. The proposed method was applied to the Taiwan Power Company system. The results indicated that the method was effective at determining the influence of CO2 emissions on power generation costs during off-peak, semi-peak, and peak hours, as well as daily load demands. The system allows economic and environmental benefits to be considered simultaneously.
{"title":"Considering carbon emissions in economic dispatch planning for isolated power systems","authors":"Ming-Tse Kuo, Shiue‐Der Lu, Ming-Chang Tsou","doi":"10.1109/ICPS.2017.7945099","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945099","url":null,"abstract":"By integrating simulated annealing and the interactive best-compromise approach, a method to determine economic dispatch in power systems, while accounting for carbon emissions, is proposed in this study. To satisfy load demands and operational constraints, traditional economic dispatches are determined by minimizing total power generation costs based on the power output of the generating units in a system. In the proposed method, carbon emissions are taken into consideration. A carbon dioxide (CO2) equivalent model that accounted for the various fuel types (e.g., coal, oil, and natural gas) used in power generation was created. The correlation between power generation costs and carbon emission was determined according to CO2 emission equivalent tradeoff and incremental cost CO2 reduction curves. The proposed method was applied to the Taiwan Power Company system. The results indicated that the method was effective at determining the influence of CO2 emissions on power generation costs during off-peak, semi-peak, and peak hours, as well as daily load demands. The system allows economic and environmental benefits to be considered simultaneously.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"570 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131823455","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945130
H. Mohomad, S. Saleh, L. Chang
This paper presents the analysis, development, and experimental performance of a predictive current controller that is featured with a disturbance estimator. The developed current controller is designed to operate a single phase (1φ) grid-side power electronic converter (PEC) employed in photovoltaic (PV) systems. The disturbance estimator is used to reduce the controller sensitivity to parameter variations, as well as to reject grid side disturbances. The design of the controller and its disturbance estimator are carried using the pole-placement method. The performance of the developed current controller is experimentally tested for a 5.4 kW interconnected PV system under different levels of power delivery to the grid that are accompanied with different variations in system parameters. In addition, other controllers used for interconnected PV systems are tested to highlight the advantages of the developed current controller. Performance and comparison results show accurate, fast, and robust responses that are initiated with negligible sensitivity to parameters variations and disturbances on the grid side.
{"title":"Disturbance-estimator predictive current controller for 1φ interconnected PV systems","authors":"H. Mohomad, S. Saleh, L. Chang","doi":"10.1109/ICPS.2017.7945130","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945130","url":null,"abstract":"This paper presents the analysis, development, and experimental performance of a predictive current controller that is featured with a disturbance estimator. The developed current controller is designed to operate a single phase (1φ) grid-side power electronic converter (PEC) employed in photovoltaic (PV) systems. The disturbance estimator is used to reduce the controller sensitivity to parameter variations, as well as to reject grid side disturbances. The design of the controller and its disturbance estimator are carried using the pole-placement method. The performance of the developed current controller is experimentally tested for a 5.4 kW interconnected PV system under different levels of power delivery to the grid that are accompanied with different variations in system parameters. In addition, other controllers used for interconnected PV systems are tested to highlight the advantages of the developed current controller. Performance and comparison results show accurate, fast, and robust responses that are initiated with negligible sensitivity to parameters variations and disturbances on the grid side.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694434","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945125
Xiaodong Liang, H. Mazin, S. Reza
Renewable energy sources are playing a vital role with increasing influences in modern power grid. Among various forms of renewables, wind turbine generators and solar photovoltaic (PV) systems have drawn much attention because of their relatively mature technologies and large-scale deployment worldwide. However, wind and solar power is intermittent in nature, which poses significant uncertainties to power grid operation. Excessive curtailments have occurred for wind power in the field and caused financial losses. Facing such challenges, the conventional power system planning methods must be changed in order to accommodate grid-connected renewable energy sources reliably and economically. Traditionally, deterministic approaches for power system planning have been used, but with increasing penetration of renewable energy sources, probabilistic methods appear to be more suitable to address stochastic features and uncertainties associated with the overall system. In this paper, an extensive literature review is conducted on probabilistic methods for generation and transmission planning incorporating wind power. The state-of-art techniques in the field are summarized, and future research directions are recommended.
{"title":"Probabilistic generation and transmission planning with renewable energy integration","authors":"Xiaodong Liang, H. Mazin, S. Reza","doi":"10.1109/ICPS.2017.7945125","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945125","url":null,"abstract":"Renewable energy sources are playing a vital role with increasing influences in modern power grid. Among various forms of renewables, wind turbine generators and solar photovoltaic (PV) systems have drawn much attention because of their relatively mature technologies and large-scale deployment worldwide. However, wind and solar power is intermittent in nature, which poses significant uncertainties to power grid operation. Excessive curtailments have occurred for wind power in the field and caused financial losses. Facing such challenges, the conventional power system planning methods must be changed in order to accommodate grid-connected renewable energy sources reliably and economically. Traditionally, deterministic approaches for power system planning have been used, but with increasing penetration of renewable energy sources, probabilistic methods appear to be more suitable to address stochastic features and uncertainties associated with the overall system. In this paper, an extensive literature review is conducted on probabilistic methods for generation and transmission planning incorporating wind power. The state-of-art techniques in the field are summarized, and future research directions are recommended.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851321","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 : 2017-05-01DOI: 10.1109/ICPS.2017.7945110
S. Saleh, R. McSheffery, S. Buck, R. Meng
This paper presents the development and performance evaluation of a new controller for permanent magnet generator (PMG)-based wind energy conversion systems (WECSs) that are equipped with battery storage units. The proposed controller is developed to ensure the voltage and frequency stability under changes in the grid demands for active and reactive powers, and under under variations in the wind speed. This objective can be met by adjusting the command active and reactive powers for all controllers operating power electronic converters in the PMG-based WECS and the battery storage units. The developed power based controller has been implemented for performance evaluation on interconnected PMG-based WECSs with battery storage units. The performance evaluation is carried out changes changes in the active and reactive power demands of the host grid, as well as changes in the wind speed. Performance evaluation results show that the power based controller is capable of initiating accurate, reliable, and fast adjustments in the command active and reactive powers to operate all PECs, and maintain the voltage and frequency stability. These performance features are impacted by the changes in grid power demands and/or wind speed.
{"title":"Power controller for PMG-based WECSs with battery storage systems","authors":"S. Saleh, R. McSheffery, S. Buck, R. Meng","doi":"10.1109/ICPS.2017.7945110","DOIUrl":"https://doi.org/10.1109/ICPS.2017.7945110","url":null,"abstract":"This paper presents the development and performance evaluation of a new controller for permanent magnet generator (PMG)-based wind energy conversion systems (WECSs) that are equipped with battery storage units. The proposed controller is developed to ensure the voltage and frequency stability under changes in the grid demands for active and reactive powers, and under under variations in the wind speed. This objective can be met by adjusting the command active and reactive powers for all controllers operating power electronic converters in the PMG-based WECS and the battery storage units. The developed power based controller has been implemented for performance evaluation on interconnected PMG-based WECSs with battery storage units. The performance evaluation is carried out changes changes in the active and reactive power demands of the host grid, as well as changes in the wind speed. Performance evaluation results show that the power based controller is capable of initiating accurate, reliable, and fast adjustments in the command active and reactive powers to operate all PECs, and maintain the voltage and frequency stability. These performance features are impacted by the changes in grid power demands and/or wind speed.","PeriodicalId":201563,"journal":{"name":"2017 IEEE/IAS 53rd Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117028951","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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