Pub Date : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303354
Weihong Yang, Hong Liu, Zhe Wang, Wen-Ting Cui, Lei Cao
For the current inefficient use of distribution network equipment and the lack of effective evaluation means, a set of comprehensive evaluation index system is built, which could accurately evaluate utilization level of equipment and find weakness. First, use fish bone diagram to find out influencing factors of distribution network equipment utilization; then build evaluation index system of distribution network equipment utilization; finally, based on association analysis of influencing factors and evaluation indexes, the reasonable values of evaluation indexes of distribution network equipment utilization are proposed, so as to improve the economy of planning, construction and operation of distribution network in our country.
{"title":"Study on evaluation index system of equipment utilization on distribution network","authors":"Weihong Yang, Hong Liu, Zhe Wang, Wen-Ting Cui, Lei Cao","doi":"10.1109/ISGT-ASIA.2012.6303354","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303354","url":null,"abstract":"For the current inefficient use of distribution network equipment and the lack of effective evaluation means, a set of comprehensive evaluation index system is built, which could accurately evaluate utilization level of equipment and find weakness. First, use fish bone diagram to find out influencing factors of distribution network equipment utilization; then build evaluation index system of distribution network equipment utilization; finally, based on association analysis of influencing factors and evaluation indexes, the reasonable values of evaluation indexes of distribution network equipment utilization are proposed, so as to improve the economy of planning, construction and operation of distribution network in our country.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"9 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132193055","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303206
Ming Chen, Xiaoqing Bai, Yun Zhu, Hua Wei
This paper presents the Deployment Method of power dispatching automation system based on cloud computing, and analyzes the necessity and feasibility of cloud computing technology in key electrical applications especially power dispatching. By means of cloud computing technology, the reliability of IT infrastructures can be significantly improved; the technique on power dispatching can be easily standardized; and the advanced functions can be rapidly delivered. It also shortens the cycle of deploying new power system automation facilities and reduces administrative costs. Furthermore, this new-type system can solve the contradiction between hierarchical management and “integrated construction” in energy sector.
{"title":"Research on power dispatching automation system based on cloud computing","authors":"Ming Chen, Xiaoqing Bai, Yun Zhu, Hua Wei","doi":"10.1109/ISGT-ASIA.2012.6303206","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303206","url":null,"abstract":"This paper presents the Deployment Method of power dispatching automation system based on cloud computing, and analyzes the necessity and feasibility of cloud computing technology in key electrical applications especially power dispatching. By means of cloud computing technology, the reliability of IT infrastructures can be significantly improved; the technique on power dispatching can be easily standardized; and the advanced functions can be rapidly delivered. It also shortens the cycle of deploying new power system automation facilities and reduces administrative costs. Furthermore, this new-type system can solve the contradiction between hierarchical management and “integrated construction” in energy sector.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132496383","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303355
Hong Liu, S. Ge
Power Supply Model(PSM) of MV distribution system is presented to resolve the problem that conventional analysis only gave regards to feeder connection mode so as to neglect coordination power supply with multiply voltage levels and substation structure in different landform and load density. First, the impacts of different characters of landform and load density on the PSM is analyzed; Second, Power Supply Framework(PSF) indicated interconnection structure of substation is established according to landform and load density; Then, integrated PSM is formed by the analysis of PSF and connection mode; Finally, the attribute and external characteristic of PSM is gained with quantity of power supply unit and power supply capability. The proposed PSM could reflect coordination power supply with substation and MV feeder in whole, which would play an important guidance role in the theoretic analysis and actual design of power supply project.
{"title":"Research on Power Supply Model of medium voltage distribution system","authors":"Hong Liu, S. Ge","doi":"10.1109/ISGT-ASIA.2012.6303355","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303355","url":null,"abstract":"Power Supply Model(PSM) of MV distribution system is presented to resolve the problem that conventional analysis only gave regards to feeder connection mode so as to neglect coordination power supply with multiply voltage levels and substation structure in different landform and load density. First, the impacts of different characters of landform and load density on the PSM is analyzed; Second, Power Supply Framework(PSF) indicated interconnection structure of substation is established according to landform and load density; Then, integrated PSM is formed by the analysis of PSF and connection mode; Finally, the attribute and external characteristic of PSM is gained with quantity of power supply unit and power supply capability. The proposed PSM could reflect coordination power supply with substation and MV feeder in whole, which would play an important guidance role in the theoretic analysis and actual design of power supply project.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130147911","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303113
Lin-Yu Lu, J. Liu, C. Chu
Micro-grid is a new concept gained significant attentions due to the increasing distributed energy sources. Several micro-grid test beds in the forms of either hardware or software simulation have been developed around the world. In Taiwan, one 20KVA 3W3Ø micro-grid test bed has been conducted in National Tsing Hua University (NTHU). This micro-grid consists of various fundamental power system components, including two synchronous generators (SG), one fixed speed induction generator (FSIG), and one doubly-fed induction generator (DFIG). In this paper, simulation results of the NTHU micro-grid system in distributed real-time simulation platform OPAL-RT are reported. Dynamical modeling of various distributed generations (DG) will be studied. Control strategies for DGs are verified through simulations on two different scenarios: (1) transition from the grid-connected mode to the islanding mode, and (2) load variation in the islanding mode.
{"title":"Distributed real-time simulation modeling and analysis of a micro-grid with renewable energy sources","authors":"Lin-Yu Lu, J. Liu, C. Chu","doi":"10.1109/ISGT-ASIA.2012.6303113","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303113","url":null,"abstract":"Micro-grid is a new concept gained significant attentions due to the increasing distributed energy sources. Several micro-grid test beds in the forms of either hardware or software simulation have been developed around the world. In Taiwan, one 20KVA 3W3Ø micro-grid test bed has been conducted in National Tsing Hua University (NTHU). This micro-grid consists of various fundamental power system components, including two synchronous generators (SG), one fixed speed induction generator (FSIG), and one doubly-fed induction generator (DFIG). In this paper, simulation results of the NTHU micro-grid system in distributed real-time simulation platform OPAL-RT are reported. Dynamical modeling of various distributed generations (DG) will be studied. Control strategies for DGs are verified through simulations on two different scenarios: (1) transition from the grid-connected mode to the islanding mode, and (2) load variation in the islanding mode.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130879551","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303167
Zhu Wang, Lingfeng Wang
In this paper, a particle swarm optimization (PSO) based negotiation agent with learning capability is proposed to facilitate the bi-directional energy trading between the building and the utility grid. A comprehensive set of factors in the integrated smart building and utility grid system is taken into account in developing the negotiation model. In addition, the learning capability of the negotiation agent is developed to adaptively adjust the trader's decisions according to the opponent's behaviors. The feasibility of the proposed negotiation agent is evaluated by the simulation results. It turns out that the proposed intelligent agent is capable of making rational deals in bi-directional energy trading by maximizing the trader's payoffs with reduced negotiation time.
{"title":"Intelligent negotiation agent with learning capability for energy trading between building and utility grid","authors":"Zhu Wang, Lingfeng Wang","doi":"10.1109/ISGT-ASIA.2012.6303167","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303167","url":null,"abstract":"In this paper, a particle swarm optimization (PSO) based negotiation agent with learning capability is proposed to facilitate the bi-directional energy trading between the building and the utility grid. A comprehensive set of factors in the integrated smart building and utility grid system is taken into account in developing the negotiation model. In addition, the learning capability of the negotiation agent is developed to adaptively adjust the trader's decisions according to the opponent's behaviors. The feasibility of the proposed negotiation agent is evaluated by the simulation results. It turns out that the proposed intelligent agent is capable of making rational deals in bi-directional energy trading by maximizing the trader's payoffs with reduced negotiation time.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115533108","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303147
Wenxian Yang, Rongshan Yu, S. Rahardja
In this paper we address the distributional effects of costs and benefits of real-time pricing (RTP) schemes in future smart grid system. We first present an optimal RTP scheme which is based on two-layer optimization processes performed separately on consumer side and retailer side of an electricity network for social welfare maximization. We further proceed to classify consumers based on their load profiles and level-of- participation in demand response program under RTP scheme. The economic benefits of the RTP scheme to different types of consumers are analyzed and compared with those of flat pricing and time-of-use (ToU) pricing schemes. Numerical simulation results demonstrate that the proposed RTP scheme brings economic benefits to all consumers in particular those who are responsive to the price incentive provided by the RTP scheme.
{"title":"Benefits to consumers under RTP with a statistical demand model","authors":"Wenxian Yang, Rongshan Yu, S. Rahardja","doi":"10.1109/ISGT-ASIA.2012.6303147","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303147","url":null,"abstract":"In this paper we address the distributional effects of costs and benefits of real-time pricing (RTP) schemes in future smart grid system. We first present an optimal RTP scheme which is based on two-layer optimization processes performed separately on consumer side and retailer side of an electricity network for social welfare maximization. We further proceed to classify consumers based on their load profiles and level-of- participation in demand response program under RTP scheme. The economic benefits of the RTP scheme to different types of consumers are analyzed and compared with those of flat pricing and time-of-use (ToU) pricing schemes. Numerical simulation results demonstrate that the proposed RTP scheme brings economic benefits to all consumers in particular those who are responsive to the price incentive provided by the RTP scheme.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124106703","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303202
Jianmin Zhu, M. Jafari, Yan Lu
In this article we present a simulation environment for energy management within community micro-grids. The ultimate objective is to optimally regulate the supply and demand within the micro-grid while ensuring that individual preferences are met and the overall energy consumption is minimized. This article will only focus on the demand management within the community. A simulation environment is developed using GridLAB-D for a baseline and an improved community model. The residential end uses, including electric vehicle charging, are modeled as stochastic and controllable demands. Energy storage capacity is also included. The improved model is used to evaluate different operational alternatives on the basis of individual residential units. Experimental operating conditions are established for the optimization of energy consumption. We show that with properly designed control strategy we are able to reduce the peak load by 8% and hedge against increased EV usage within the community.
{"title":"Optimal energy management in community micro-grids","authors":"Jianmin Zhu, M. Jafari, Yan Lu","doi":"10.1109/ISGT-ASIA.2012.6303202","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303202","url":null,"abstract":"In this article we present a simulation environment for energy management within community micro-grids. The ultimate objective is to optimally regulate the supply and demand within the micro-grid while ensuring that individual preferences are met and the overall energy consumption is minimized. This article will only focus on the demand management within the community. A simulation environment is developed using GridLAB-D for a baseline and an improved community model. The residential end uses, including electric vehicle charging, are modeled as stochastic and controllable demands. Energy storage capacity is also included. The improved model is used to evaluate different operational alternatives on the basis of individual residential units. Experimental operating conditions are established for the optimization of energy consumption. We show that with properly designed control strategy we are able to reduce the peak load by 8% and hedge against increased EV usage within the community.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124289361","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303328
Weiji Han, Li Zhang, Jidong Liu
An exact grasp of the electricity consumers' demand response characteristics (DRCs) plays an important role in designing and achieving the potential benefit of demand response (DR) programs. In order to analyze the DRCs of industrial electricity consumers in the time of use (TOU) pricing program, a DR model based on the Support Vector Machine (SVM) regression algorism is proposed in the paper. With the model, electricity consumers' daily load arrangement under different price rate (PR) of TOU pricing program could be simulated. Using the simulating data, the electricity consumers' DRCs could be calculated to make further analysis. The work provides reasonably theoretical reference for designing, evaluating and amending current TOU pricing programs and gives an access to quantitively evaluate electricity consumers' DR potential. Besides, the model can also be adapted to study other areas of DR.
{"title":"Demand response model for characteristics analysis of electricity consumers","authors":"Weiji Han, Li Zhang, Jidong Liu","doi":"10.1109/ISGT-ASIA.2012.6303328","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303328","url":null,"abstract":"An exact grasp of the electricity consumers' demand response characteristics (DRCs) plays an important role in designing and achieving the potential benefit of demand response (DR) programs. In order to analyze the DRCs of industrial electricity consumers in the time of use (TOU) pricing program, a DR model based on the Support Vector Machine (SVM) regression algorism is proposed in the paper. With the model, electricity consumers' daily load arrangement under different price rate (PR) of TOU pricing program could be simulated. Using the simulating data, the electricity consumers' DRCs could be calculated to make further analysis. The work provides reasonably theoretical reference for designing, evaluating and amending current TOU pricing programs and gives an access to quantitively evaluate electricity consumers' DR potential. Besides, the model can also be adapted to study other areas of DR.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124295972","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303299
Chengyuan Yu, Dongdong Li
This document researches converter control of DFIG-based wind turbine, focus on the problem of DC voltage stability. According to the traditional SVPWM control strategy, a new control strategy is presented. This new control strategy uses Fuzzy-PI control that can modify PI parameters in real-time, and using feedforward control strategy to predict variation trend which can decrease overstrike. A simulation model, which represents the converter of doubly fed induction generator system is built-in MATLAB, and simulation results which are under symmetry grid voltage fault condition are given that illustrate the excellent performance characteristics of the Fuzzy- PI compound control system. The new control strategy has concise structure and more stable performance. Compared with traditional control strategy, the new one will not increase hardware cost, so it will have a bright future in engineering application.
{"title":"Fuzzy-PI and feedforward control strategy of DFIG wind turbine","authors":"Chengyuan Yu, Dongdong Li","doi":"10.1109/ISGT-ASIA.2012.6303299","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303299","url":null,"abstract":"This document researches converter control of DFIG-based wind turbine, focus on the problem of DC voltage stability. According to the traditional SVPWM control strategy, a new control strategy is presented. This new control strategy uses Fuzzy-PI control that can modify PI parameters in real-time, and using feedforward control strategy to predict variation trend which can decrease overstrike. A simulation model, which represents the converter of doubly fed induction generator system is built-in MATLAB, and simulation results which are under symmetry grid voltage fault condition are given that illustrate the excellent performance characteristics of the Fuzzy- PI compound control system. The new control strategy has concise structure and more stable performance. Compared with traditional control strategy, the new one will not increase hardware cost, so it will have a bright future in engineering application.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"537 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124542744","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 : 2012-05-21DOI: 10.1109/ISGT-ASIA.2012.6303105
Wenqi Tian, Jinghan He, Liyong Niu, Weige Zhang, Xiaojun Wang, Z. Bo
With the popularity of electric vehicles and development of smart grid the research focus on V2G. A large number of electric vehicles as distributed energy storage units can feedback to the grid when the grid needs to provide energy and ancillary services. Electric vehicles can either simulate the generator droop characteristic in primary frequency regulation or be based on area control error (ACE) in the power system secondary frequency modulation. At the same time, electric vehicles can be involved in the third frequency modulation based on economic dispatch. In this study, we establish signal area power system model and interconnected two-area model containing V2G and analyze the effects of V2G participation in secondary frequency modulation based on ACE. The results show that V2G can effectively reduce the frequency deviation and tie-line flow deviation, lower system reserve capacity.
{"title":"Simulation of vehicle-to-grid (V2G) on power system frequency control","authors":"Wenqi Tian, Jinghan He, Liyong Niu, Weige Zhang, Xiaojun Wang, Z. Bo","doi":"10.1109/ISGT-ASIA.2012.6303105","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303105","url":null,"abstract":"With the popularity of electric vehicles and development of smart grid the research focus on V2G. A large number of electric vehicles as distributed energy storage units can feedback to the grid when the grid needs to provide energy and ancillary services. Electric vehicles can either simulate the generator droop characteristic in primary frequency regulation or be based on area control error (ACE) in the power system secondary frequency modulation. At the same time, electric vehicles can be involved in the third frequency modulation based on economic dispatch. In this study, we establish signal area power system model and interconnected two-area model containing V2G and analyze the effects of V2G participation in secondary frequency modulation based on ACE. The results show that V2G can effectively reduce the frequency deviation and tie-line flow deviation, lower system reserve capacity.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115108006","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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