Pub Date : 2013-11-25DOI: 10.1109/NAPS.2013.6666892
M. West, Thomas Baldwin
Load following of thermal power plants becomes exceedingly difficult as dependence upon variable power generation increases. Energy storage systems (ESS) can manipulate this unpredictable generation and provide controllable power from an otherwise uncontrollable source. Modeling the interaction between these technologies and the utility grid is fundamental for understanding performance and optimizing functionality. MATLAB is used to simulate these ESS behaviors. Historic data of generation and demand taken from ISO New England and IESO Ontario is used. The model treats the ESS as a series of equations to manipulate data and demonstrate ideal ESS behaviors over given daily, monthly, and seasonal time periods. ESS placed on the generation side of the transmission system is used to stabilize variable power production and maximizing the use of transmission line capacities. ESS on the load side of the utility system is used to match demand. Results show that, using this technology, dependence upon variable generation can be increased while maintaining power balance. Effective selection of ESS size can result in greater dependence upon clean energy, reduce transmission system capacity, and decrease power production costs.
{"title":"Energy storage and supergrid integration","authors":"M. West, Thomas Baldwin","doi":"10.1109/NAPS.2013.6666892","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666892","url":null,"abstract":"Load following of thermal power plants becomes exceedingly difficult as dependence upon variable power generation increases. Energy storage systems (ESS) can manipulate this unpredictable generation and provide controllable power from an otherwise uncontrollable source. Modeling the interaction between these technologies and the utility grid is fundamental for understanding performance and optimizing functionality. MATLAB is used to simulate these ESS behaviors. Historic data of generation and demand taken from ISO New England and IESO Ontario is used. The model treats the ESS as a series of equations to manipulate data and demonstrate ideal ESS behaviors over given daily, monthly, and seasonal time periods. ESS placed on the generation side of the transmission system is used to stabilize variable power production and maximizing the use of transmission line capacities. ESS on the load side of the utility system is used to match demand. Results show that, using this technology, dependence upon variable generation can be increased while maintaining power balance. Effective selection of ESS size can result in greater dependence upon clean energy, reduce transmission system capacity, and decrease power production costs.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740349","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666910
Khaled B. Abdusamad, D. Gao, E. Muljadi
The development and implementation of condition monitoring system become very important for wind industry with the increasing number of failures in wind turbine generators due to over temperature especially in offshore wind turbines where higher maintenance costs than onshore wind farms have to be paid due to their farthest locations. Monitoring the wind generators temperatures is significant and plays a remarkable role in an effective condition monitoring system. Moreover, they can be easily measured and recorded automatically by the Supervisory Control and Data Acquisition (SCADA) which gives more clarification about their behavior trend. An unexpected increase in component temperature may indicate overload, poor lubrication, or possibly ineffective passive or active cooling. Many techniques are used to reliably predict generator's temperatures to avoid occurrence of failures in wind turbine generators. Multiple Linear Regression Model (MLRM) is a model that can be used to construct the normal operating model for the wind turbine generator temperature and then at each time step the model is used to predict the generator temperature by measuring the correlation between the observed values and the predicted values of criterion variables. Then standard errors of the estimate can be found. The standard error of the estimate indicates how close the actual observations fall to the predicted values on the regression line. In this paper, a new condition-monitoring method based on applying Multiple Linear Regression Model for a wind turbine generator is proposed. The technique is used to construct the normal behavior model of an electrical generator temperatures based on the historical generator temperatures data. Case study built on a data collected from actual measurements demonstrates the adequacy of the proposed model.
随着风力发电机组因温度过高而导致的故障越来越多，特别是海上风力发电机组由于位置较远，其维护成本高于陆上风力发电机组，因此状态监测系统的开发和实施对风力工业来说变得非常重要。风力发电机组温度的监测是建立有效的状态监测系统的重要组成部分。此外，监控与数据采集系统(SCADA)可以方便地对其进行自动测量和记录，使其行为趋势更加清晰。部件温度的意外升高可能表明过载、润滑不良或可能无效的被动或主动冷却。为了避免风力发电机组故障的发生，需要采用多种技术对机组温度进行可靠预测。多元线性回归模型(Multiple Linear Regression Model, MLRM)是一种可用于构建风力发电机组温度的正常运行模型，然后在每个时间步长通过测量准则变量的观测值与预测值之间的相关性来预测风力发电机组温度的模型。然后可以找到估计的标准误差。估计的标准误差表示实际观测值与回归线上预测值的接近程度。本文提出了一种基于多元线性回归模型的风力发电机组状态监测新方法。该技术基于历史发电机温度数据，构建了发电机温度的正常行为模型。建立在实际测量数据基础上的案例研究证明了所建议模型的充分性。
{"title":"A condition monitoring system for wind turbine generator temperature by applying multiple linear regression model","authors":"Khaled B. Abdusamad, D. Gao, E. Muljadi","doi":"10.1109/NAPS.2013.6666910","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666910","url":null,"abstract":"The development and implementation of condition monitoring system become very important for wind industry with the increasing number of failures in wind turbine generators due to over temperature especially in offshore wind turbines where higher maintenance costs than onshore wind farms have to be paid due to their farthest locations. Monitoring the wind generators temperatures is significant and plays a remarkable role in an effective condition monitoring system. Moreover, they can be easily measured and recorded automatically by the Supervisory Control and Data Acquisition (SCADA) which gives more clarification about their behavior trend. An unexpected increase in component temperature may indicate overload, poor lubrication, or possibly ineffective passive or active cooling. Many techniques are used to reliably predict generator's temperatures to avoid occurrence of failures in wind turbine generators. Multiple Linear Regression Model (MLRM) is a model that can be used to construct the normal operating model for the wind turbine generator temperature and then at each time step the model is used to predict the generator temperature by measuring the correlation between the observed values and the predicted values of criterion variables. Then standard errors of the estimate can be found. The standard error of the estimate indicates how close the actual observations fall to the predicted values on the regression line. In this paper, a new condition-monitoring method based on applying Multiple Linear Regression Model for a wind turbine generator is proposed. The technique is used to construct the normal behavior model of an electrical generator temperatures based on the historical generator temperatures data. Case study built on a data collected from actual measurements demonstrates the adequacy of the proposed model.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128039058","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666837
S. Sharma, S. Kulkarni, A. Maksud, S. Wagh, N. Singh
The crucial issue of loss of synchronization in post-disturbance conditions may lead to blackouts if corrective action is delayed. The complication increases due to large computation burden and time for wide-area network where thyristor-controlled series compensator (TCSC) is used as controller for transient stability enhancement. The trade-off in accuracy and speed in generating control law using linearized models becomes ineffective for changed operating scenarios. In addition, forming multi-machine linearized model becomes challenging when TCSC appears as non-separable element of a dense admittance matrix, which can be separated as a control variable in single-machine infinite-bus system. Overcoming the limitations of linearized controllers, the present paper verifies the Kuramoto mean-field condition using Kron reduction with non-trivial transfer conductances for unstable post-fault scenario. To regain synchronization effectively, necessary TCSC compensation has adjusted network parameters as proved by MATLAB simulations performed on 12-bus system, where real-time data is acquired by phasor measurement units.
{"title":"Transient stability assessment and synchronization of multimachine power system using Kuramoto model","authors":"S. Sharma, S. Kulkarni, A. Maksud, S. Wagh, N. Singh","doi":"10.1109/NAPS.2013.6666837","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666837","url":null,"abstract":"The crucial issue of loss of synchronization in post-disturbance conditions may lead to blackouts if corrective action is delayed. The complication increases due to large computation burden and time for wide-area network where thyristor-controlled series compensator (TCSC) is used as controller for transient stability enhancement. The trade-off in accuracy and speed in generating control law using linearized models becomes ineffective for changed operating scenarios. In addition, forming multi-machine linearized model becomes challenging when TCSC appears as non-separable element of a dense admittance matrix, which can be separated as a control variable in single-machine infinite-bus system. Overcoming the limitations of linearized controllers, the present paper verifies the Kuramoto mean-field condition using Kron reduction with non-trivial transfer conductances for unstable post-fault scenario. To regain synchronization effectively, necessary TCSC compensation has adjusted network parameters as proved by MATLAB simulations performed on 12-bus system, where real-time data is acquired by phasor measurement units.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753038","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666852
Yin Li, J. Khazaei, Lingling Fan, Zhixin Miao
In this paper, switching modulation schemes for Z-source converters used for renewable energy integration are investigated. Both dc-dc converters and dc-ac converters are discussed. Input/output voltage relationships for the two types of converters (half-bridge dc-dc and three-phase three-bridge dc-ac) are analyzed based on circuit analysis. The two converters are built and simulated in PSCAD. Simulation results give validation of the analysis results.
{"title":"Modeling of Z-source converter for renewable energy integration","authors":"Yin Li, J. Khazaei, Lingling Fan, Zhixin Miao","doi":"10.1109/NAPS.2013.6666852","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666852","url":null,"abstract":"In this paper, switching modulation schemes for Z-source converters used for renewable energy integration are investigated. Both dc-dc converters and dc-ac converters are discussed. Input/output voltage relationships for the two types of converters (half-bridge dc-dc and three-phase three-bridge dc-ac) are analyzed based on circuit analysis. The two converters are built and simulated in PSCAD. Simulation results give validation of the analysis results.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121070340","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666847
T. Alquthami, A. Meliopoulos
A massive number of distributed energy resources (DER), battery energy storage systems (BESS), and smart appliances (loads) is expected to be deployed in the future. To capture the benefits associated with these emerging units, this paper proposes an advanced infrastructure that allows for an accurate and fast monitoring of the distribution electric feeder including various types of residential, commercial, and industrial loads. This scheme allows for optimizing the utilization and operation of the power system over a short term planning period. More precisely, the concept of distributed optimization algorithm through decomposing the problem into small parts is used to achieve the outlined goals. The enabling technologies that facilitate the implementation of the proposed infrastructure are the advanced metering devices and the distributed state estimation (DSE). The meters, basically, gather the system synchronized and non-synchronized data and send them to the DSE, which evaluates the real time model of the system 60 times per seconds. The results of the DSE are used to perform the optimization and set the controls for the system autonomously.
{"title":"Hierarchical optimization and control of a distribution system","authors":"T. Alquthami, A. Meliopoulos","doi":"10.1109/NAPS.2013.6666847","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666847","url":null,"abstract":"A massive number of distributed energy resources (DER), battery energy storage systems (BESS), and smart appliances (loads) is expected to be deployed in the future. To capture the benefits associated with these emerging units, this paper proposes an advanced infrastructure that allows for an accurate and fast monitoring of the distribution electric feeder including various types of residential, commercial, and industrial loads. This scheme allows for optimizing the utilization and operation of the power system over a short term planning period. More precisely, the concept of distributed optimization algorithm through decomposing the problem into small parts is used to achieve the outlined goals. The enabling technologies that facilitate the implementation of the proposed infrastructure are the advanced metering devices and the distributed state estimation (DSE). The meters, basically, gather the system synchronized and non-synchronized data and send them to the DSE, which evaluates the real time model of the system 60 times per seconds. The results of the DSE are used to perform the optimization and set the controls for the system autonomously.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122087487","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666854
Ziang Zhang, Navid Rahbari-Asr, M. Chow
The energy management problem in smart grid is a complex optimization problem of a Cyber-Physical System. Distributed cooperative energy management algorithms have great potential to solve this class of problems. In addition to the synchronous distributed algorithms, asynchronous distributed algorithms are more flexible, robust to packet loss and do not require global clock synchronization. In this paper, we have extended the synchronous Incremental Cost Consensus (ICC) algorithm to a gossip-based asynchronous version. The new algorithm is able to converge to the optimal solution in a distributed fashion with pairwise information exchange between neighbors without the need for any global synchronizing clock. The characteristics of the asynchronous ICC algorithm can be controlled by tuning the weighting of the updating matrix. Several case studies with different system configurations have been used to discuss the characteristics of the proposed algorithm.
{"title":"Asynchronous distributed cooperative energy management through gossip-based incremental cost consensus algorithm","authors":"Ziang Zhang, Navid Rahbari-Asr, M. Chow","doi":"10.1109/NAPS.2013.6666854","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666854","url":null,"abstract":"The energy management problem in smart grid is a complex optimization problem of a Cyber-Physical System. Distributed cooperative energy management algorithms have great potential to solve this class of problems. In addition to the synchronous distributed algorithms, asynchronous distributed algorithms are more flexible, robust to packet loss and do not require global clock synchronization. In this paper, we have extended the synchronous Incremental Cost Consensus (ICC) algorithm to a gossip-based asynchronous version. The new algorithm is able to converge to the optimal solution in a distributed fashion with pairwise information exchange between neighbors without the need for any global synchronizing clock. The characteristics of the asynchronous ICC algorithm can be controlled by tuning the weighting of the updating matrix. Several case studies with different system configurations have been used to discuss the characteristics of the proposed algorithm.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121439137","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666888
Edson A. R. Theodoro, L. Alberto, H. Chiang
This paper proposes a new Two-Time Scale (TTS) BCU method, and reports the first ever known use of the TTS-CUEP method in a multi-machine power system. The proposed TTS-BCU method is a numerical algorithm to correctly compute the slow and fast CUEPs of the TTS-CUEP method. It also provides a more robust algorithm to compute the CUEP of the original system.
{"title":"Towards the development of a two-time scale CUEP/BCU method","authors":"Edson A. R. Theodoro, L. Alberto, H. Chiang","doi":"10.1109/NAPS.2013.6666888","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666888","url":null,"abstract":"This paper proposes a new Two-Time Scale (TTS) BCU method, and reports the first ever known use of the TTS-CUEP method in a multi-machine power system. The proposed TTS-BCU method is a numerical algorithm to correctly compute the slow and fast CUEPs of the TTS-CUEP method. It also provides a more robust algorithm to compute the CUEP of the original system.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121588228","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666957
Rabindra Maharjan, S. Kamalasadan
In this paper real-time modeling and simulation of complete closed loop control of doubly fed induction generator (DFIG) for wind generation system is presented. Decoupled active power and reactive power control of DFIG is realized using the flux oriented vector control. Inner and outer loop controller at rotor side and the grid side converter is presented for the closed loop control of the DFIG using real-time digital simulator. The simulation is carried on OPAL-RT digital simulator which is based on RT-LAB platform with the models build in Simulink. Further full closed loop models are evaluated in an experimental test bed for the step response of active and reactive power (P and Q) change. The real-time modeling and evaluation shows the capability of fully closed loop control and has greater impact on real-world applications.
{"title":"Real-time simulation for active and reactive power control of doubly fed induction generator","authors":"Rabindra Maharjan, S. Kamalasadan","doi":"10.1109/NAPS.2013.6666957","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666957","url":null,"abstract":"In this paper real-time modeling and simulation of complete closed loop control of doubly fed induction generator (DFIG) for wind generation system is presented. Decoupled active power and reactive power control of DFIG is realized using the flux oriented vector control. Inner and outer loop controller at rotor side and the grid side converter is presented for the closed loop control of the DFIG using real-time digital simulator. The simulation is carried on OPAL-RT digital simulator which is based on RT-LAB platform with the models build in Simulink. Further full closed loop models are evaluated in an experimental test bed for the step response of active and reactive power (P and Q) change. The real-time modeling and evaluation shows the capability of fully closed loop control and has greater impact on real-world applications.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131216459","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 : 2013-11-25DOI: 10.1109/NAPS.2013.6666860
A. Malekpour, A. Pahwa, Sanjoy Das
Drop in prices of PV panels and increased awareness of environmental concerns is resulting in high number of rooftop solar PV installations. Rapid irradiance changes on partly cloudy days causes severe fluctuations in PV power output resulting in rapid fluctuations in voltage, which makes large-scale integration of rooftop solar PV into the grid a major challenge. This paper presents an inverter-based var control strategy to damp fast fluctuations in voltages. Different reactive power control strategies for inverter-based PVs are studied and their effects are analyzed in a second by second time frame. The proposed strategies have been tested on the modified IEEE 37 bus test system. Simulations demonstrate that the proposed strategies outperform the current standard (IEEE 1547) for voltage control.
{"title":"Inverter-based var control in low voltage distribution systems with rooftop solar PV","authors":"A. Malekpour, A. Pahwa, Sanjoy Das","doi":"10.1109/NAPS.2013.6666860","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666860","url":null,"abstract":"Drop in prices of PV panels and increased awareness of environmental concerns is resulting in high number of rooftop solar PV installations. Rapid irradiance changes on partly cloudy days causes severe fluctuations in PV power output resulting in rapid fluctuations in voltage, which makes large-scale integration of rooftop solar PV into the grid a major challenge. This paper presents an inverter-based var control strategy to damp fast fluctuations in voltages. Different reactive power control strategies for inverter-based PVs are studied and their effects are analyzed in a second by second time frame. The proposed strategies have been tested on the modified IEEE 37 bus test system. Simulations demonstrate that the proposed strategies outperform the current standard (IEEE 1547) for voltage control.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125693904","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}
In order to solve the complicated problems about visualization of distribution topology structure, this paper proposes an automatic generation method consisted of several intelligent algorithms. Both layout and wiring are two main problems during the process of visualization. The gravitation-repulsion model is applied to optimize the substation nodes layout which can make the nodes of distribution more uniform in a given area. The gravitation between them will pull them to each other when the distance between two connected nodes is below a threshold. And each node suffers repulsions which push it away from the others if their positions are too close. An empirical approach is used to wire, which effectively reduces the crossing and avoids overlapping of the lines. Results of calculation show that the method proposed in this paper is effective and practical.
{"title":"Study on visualization of distribution topology based on intelligent algorithms","authors":"Jiang Li, Chao Wei, Yiwei Wang, Peng Zhang, Haotong Zhang, Guoqing Li","doi":"10.1109/NAPS.2013.6666942","DOIUrl":"https://doi.org/10.1109/NAPS.2013.6666942","url":null,"abstract":"In order to solve the complicated problems about visualization of distribution topology structure, this paper proposes an automatic generation method consisted of several intelligent algorithms. Both layout and wiring are two main problems during the process of visualization. The gravitation-repulsion model is applied to optimize the substation nodes layout which can make the nodes of distribution more uniform in a given area. The gravitation between them will pull them to each other when the distance between two connected nodes is below a threshold. And each node suffers repulsions which push it away from the others if their positions are too close. An empirical approach is used to wire, which effectively reduces the crossing and avoids overlapping of the lines. Results of calculation show that the method proposed in this paper is effective and practical.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148634","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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