Pub Date : 2007-11-01DOI: 10.1109/ISAP.2007.4441602
Z. Gaing, Xun Liu
This paper presents a new version of constriction particle swarm optimization (NCPSO) with mutation mechanism for solving the security-constrained optimal power flow (OPF) with both the steady-state security constraints and the transient stability constraints. The objective of SCOPF in considering the valve-point loading effect of the unit and the operating limits of FACTS devices is defined not only to minimize total generation cost but also to enhance transmission security, reduce transmission loss, and improve the bus voltage profile under normal or post-contingent states. The proposed NCPSO method involves a new cognitive behavior of particle. The particle can remember its previously visited best and worst positions, thus it can explore effectively the search space. The effectiveness of the proposed method is demonstrated for the IEEE 30-bus and 57-bus systems.
{"title":"New Constriction Particle Swarm Optimization for Security-Constrained Optimal Power Flow Solution","authors":"Z. Gaing, Xun Liu","doi":"10.1109/ISAP.2007.4441602","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441602","url":null,"abstract":"This paper presents a new version of constriction particle swarm optimization (NCPSO) with mutation mechanism for solving the security-constrained optimal power flow (OPF) with both the steady-state security constraints and the transient stability constraints. The objective of SCOPF in considering the valve-point loading effect of the unit and the operating limits of FACTS devices is defined not only to minimize total generation cost but also to enhance transmission security, reduce transmission loss, and improve the bus voltage profile under normal or post-contingent states. The proposed NCPSO method involves a new cognitive behavior of particle. The particle can remember its previously visited best and worst positions, thus it can explore effectively the search space. The effectiveness of the proposed method is demonstrated for the IEEE 30-bus and 57-bus systems.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568078","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441603
J. Da Silva Filho, A. Rocco, A. S. Onuki, L. Ferrara, J. M. Camargo
In this paper we present paraconsistent logic application at electric power system contingency analysis with risks identification. Para-consistent Logic is a non-classic logic whose foundations allow for the treatment of contradictions without invalidating the conclusions through algorithms named PANs - para-consistent analysis nodes. In the equations of the PANs are calculated signals representing restrictions, risks and configurations of electric power systems networks. The "pre- Fault state" represented by the resulting evidence degree from PAN is evaluated together with the "post-fault" information in a contingency evaluation. In that way the occurrence type and their parameters are classified by PANet with the purpose of offering an optimized re-establishment sequence to the power system. This method is being validated through off-line tests applied at the Eletropaulo-Eletricidade de Sao Paulo, an electric power distribution utility company of Sao Paulo state, Brazil, which has a distribution network and a model substation of medium range.
本文介绍了副一致逻辑在电力系统事故分析和风险识别中的应用。准一致逻辑是一种非经典逻辑，其基础允许通过称为pan(准一致分析节点)的算法来处理矛盾，而不会使结论无效。在pan的方程中，计算出的信号表示电力系统网络的限制、风险和配置。在权变评估中，由PAN得出的证据程度所代表的“前故障状态”与“后故障”信息一起进行评估。通过PANet对故障类型及其参数进行分类，为电力系统提供优化的重建顺序。该方法正在巴西圣保罗州的配电公司Eletropaulo-Eletricidade de Sao Paulo进行离线试验，该公司拥有一个配电网络和一个中等距离的模型变电站。
{"title":"Electric Power Systems Contingencies Analysis by Paraconsistent Logic Application","authors":"J. Da Silva Filho, A. Rocco, A. S. Onuki, L. Ferrara, J. M. Camargo","doi":"10.1109/ISAP.2007.4441603","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441603","url":null,"abstract":"In this paper we present paraconsistent logic application at electric power system contingency analysis with risks identification. Para-consistent Logic is a non-classic logic whose foundations allow for the treatment of contradictions without invalidating the conclusions through algorithms named PANs - para-consistent analysis nodes. In the equations of the PANs are calculated signals representing restrictions, risks and configurations of electric power systems networks. The \"pre- Fault state\" represented by the resulting evidence degree from PAN is evaluated together with the \"post-fault\" information in a contingency evaluation. In that way the occurrence type and their parameters are classified by PANet with the purpose of offering an optimized re-establishment sequence to the power system. This method is being validated through off-line tests applied at the Eletropaulo-Eletricidade de Sao Paulo, an electric power distribution utility company of Sao Paulo state, Brazil, which has a distribution network and a model substation of medium range.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115260546","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441605
Se-Hwan Jang, Jin-ho Kim, Sang-Hyuk Lee, Juneho Park
For the efficient zone clustering of Large-scale power system, this paper introduces an improved fuzzy C-means (FCM) approach. Due to physical characteristics of Power System, each node of the power system has their own locational marginal price (LMP) indicating the network-related characteristics of the system. In electricity market, it has been on the rise across much of a deregulation market to price market clearing prices considering LMP. It is inefficient to price on each node individually. Hence classification for the whole system into distinct several subsystems based on a dissimilarity measure is typically needed for the efficient operation of the whole system. Moreover, the location information on the system is taken into account in order to properly address the geometric mis-clustering problem such as grouping geometrically distant nodes with dissimilarity measures into a common cluster. Therefore, this paper proposes the improved FCM approach for clustering LMP with location information. We have conducted the clustering in real Korea power system to verify the usefulness of the proposed improved FCM approach.
{"title":"Zone Clustering LMP with Location information using an Improved Fuzzy C-Mean","authors":"Se-Hwan Jang, Jin-ho Kim, Sang-Hyuk Lee, Juneho Park","doi":"10.1109/ISAP.2007.4441605","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441605","url":null,"abstract":"For the efficient zone clustering of Large-scale power system, this paper introduces an improved fuzzy C-means (FCM) approach. Due to physical characteristics of Power System, each node of the power system has their own locational marginal price (LMP) indicating the network-related characteristics of the system. In electricity market, it has been on the rise across much of a deregulation market to price market clearing prices considering LMP. It is inefficient to price on each node individually. Hence classification for the whole system into distinct several subsystems based on a dissimilarity measure is typically needed for the efficient operation of the whole system. Moreover, the location information on the system is taken into account in order to properly address the geometric mis-clustering problem such as grouping geometrically distant nodes with dissimilarity measures into a common cluster. Therefore, this paper proposes the improved FCM approach for clustering LMP with location information. We have conducted the clustering in real Korea power system to verify the usefulness of the proposed improved FCM approach.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124852966","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441657
A. Yona, T. Senjyu, A. Saber, T. Funabashi, H. Sekine, Chul-Hwan Kim
In recent years, introduction of an alternative energy source such as solar energy is expected. However, insolation is not constant and output of photovoltaic (PV) system is influenced by meteorological conditions. In order to predict the power output for PV system as accurate as possible, it requires method of insolation estimation. In this paper, the authors take the insolation of each month into consideration, and confirm the validity of using neural network to predict one-day-ahead 24 hours insolation by computer simulations. The proposed method in this paper does not require complicated calculation and mathematical model with only meteorological data.
{"title":"Application of Neural Network to One-Day-Ahead 24 hours Generating Power Forecasting for Photovoltaic System","authors":"A. Yona, T. Senjyu, A. Saber, T. Funabashi, H. Sekine, Chul-Hwan Kim","doi":"10.1109/ISAP.2007.4441657","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441657","url":null,"abstract":"In recent years, introduction of an alternative energy source such as solar energy is expected. However, insolation is not constant and output of photovoltaic (PV) system is influenced by meteorological conditions. In order to predict the power output for PV system as accurate as possible, it requires method of insolation estimation. In this paper, the authors take the insolation of each month into consideration, and confirm the validity of using neural network to predict one-day-ahead 24 hours insolation by computer simulations. The proposed method in this paper does not require complicated calculation and mathematical model with only meteorological data.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123258112","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441685
J. N. Fidalgo, J.A.F.M. Torres, M. Matos
In a competitive energy market environment, the procedure for fair loss allocation constitutes a matter of considerable importance. This task is often based on rough principles, given the difficulties on the practical implementation of a fairest process. This paper proposes a methodology based on neural networks for the distribution of power distribution losses among the loads. The process is based on the knowledge of load profiles and on the usual consumption measures. Simulations are carried out for a typical MV network, with an extensive variety of load scenarios. For each scenario, losses were calculated and distributed by the consumers. The allocation criterion is established assuming a distribution proportional to the squared power. Finally, a neural network is trained in order to obtain a fast and accurate losses allocation. Illustrative results support the feasibility of the proposed methodology.
{"title":"Fair Allocation of Distribution Losses based on Neural Networks","authors":"J. N. Fidalgo, J.A.F.M. Torres, M. Matos","doi":"10.1109/ISAP.2007.4441685","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441685","url":null,"abstract":"In a competitive energy market environment, the procedure for fair loss allocation constitutes a matter of considerable importance. This task is often based on rough principles, given the difficulties on the practical implementation of a fairest process. This paper proposes a methodology based on neural networks for the distribution of power distribution losses among the loads. The process is based on the knowledge of load profiles and on the usual consumption measures. Simulations are carried out for a typical MV network, with an extensive variety of load scenarios. For each scenario, losses were calculated and distributed by the consumers. The allocation criterion is established assuming a distribution proportional to the squared power. Finally, a neural network is trained in order to obtain a fast and accurate losses allocation. Illustrative results support the feasibility of the proposed methodology.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123258462","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441636
Sanjeev K. Srivastava, D. Cartes
In this paper, the authors propose a multiagent system based reconfiguration methodology for mesh structured power systems. One of the important features of this multiagent architecture is that the intelligent agents in the multiagent system work in a completely decentralized manner. There is no central controller in the system. In this multiagent system, an agent can send/receive signals to/from a major electric component in the power system. Each agent only communicates with its immediate neighboring agents. A simulation platform is also introduced for validating the proposed reconfiguration methodology. In the simulation platform, the intelligent agents are implemented using Java agent development framework. The power system is implemented in a real time digital simulator. The simulation results show the proposed reconfiguration methodology is effective and promising.
{"title":"Intelligent Agents Applied to Reconfiguration of Mesh Structured Power Systems","authors":"Sanjeev K. Srivastava, D. Cartes","doi":"10.1109/ISAP.2007.4441636","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441636","url":null,"abstract":"In this paper, the authors propose a multiagent system based reconfiguration methodology for mesh structured power systems. One of the important features of this multiagent architecture is that the intelligent agents in the multiagent system work in a completely decentralized manner. There is no central controller in the system. In this multiagent system, an agent can send/receive signals to/from a major electric component in the power system. Each agent only communicates with its immediate neighboring agents. A simulation platform is also introduced for validating the proposed reconfiguration methodology. In the simulation platform, the intelligent agents are implemented using Java agent development framework. The power system is implemented in a real time digital simulator. The simulation results show the proposed reconfiguration methodology is effective and promising.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437207","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441610
M. Hajian, A. Ranjbar, T. Amraee, A. Shirani
This paper is concerned about the optimal placement of phasor measurement units (PMUs) so as to make a system completely observable. Observability assessment is done by the aid of the topological observability rules. Moreover a new rule is added which can decrease the number of required PMUs for complete system observability. A modified binary particle swarm is used as an optimization tool for obtaining the minimal number of PMUs and corresponding configuration. In order to improve the speed of convergence, an initial PMU placement is provided by graph-theoretic procedure. The simulation results of proposed approach are presented for several IEEE test systems. Index Terms-Observability analysis, optimal placement, particle swarm optimization, phasor measurement unit.
{"title":"Optimal Placement of Phasor Measurement Units: Particle Swarm Optimization Approach","authors":"M. Hajian, A. Ranjbar, T. Amraee, A. Shirani","doi":"10.1109/ISAP.2007.4441610","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441610","url":null,"abstract":"This paper is concerned about the optimal placement of phasor measurement units (PMUs) so as to make a system completely observable. Observability assessment is done by the aid of the topological observability rules. Moreover a new rule is added which can decrease the number of required PMUs for complete system observability. A modified binary particle swarm is used as an optimization tool for obtaining the minimal number of PMUs and corresponding configuration. In order to improve the speed of convergence, an initial PMU placement is provided by graph-theoretic procedure. The simulation results of proposed approach are presented for several IEEE test systems. Index Terms-Observability analysis, optimal placement, particle swarm optimization, phasor measurement unit.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125748465","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441662
Xiangning Lin, P. Mao, H. Weng, Bin Wang, Z. Bo
A distributed & hierarchical NN (DHNN) system based on the integrated module architecture and hierarchy architecture is proposed in this paper. The DHNN system adequately uses the powerful function of artificial neural networks at aspects of pattern identification, nonlinear-approaching, associative memory et al. Its information processing mechanism coincides with the processing law of classification-sketchiness-accuracy in human biologic NN system. This system not only can deal with the advanced information required by fault location for HV overhead transmission lines but accurately locate the fault sites. Thus this method for fault location presented in this paper can thoroughly eliminate the disadvantages in other extant fault location methods, such as convergence to the false root or divergence in the procedure of iteration, which result in the great location error in practice. This paper pioneers a new direction to the study and application on fault location. Results from theoretical analyses and simulations by EMTP show that fault location precision of this method can completely satisfy practical requirements.
{"title":"Study on Fault Location for High Voltage Overhead Transmission Lines Based on Neural Network System","authors":"Xiangning Lin, P. Mao, H. Weng, Bin Wang, Z. Bo","doi":"10.1109/ISAP.2007.4441662","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441662","url":null,"abstract":"A distributed & hierarchical NN (DHNN) system based on the integrated module architecture and hierarchy architecture is proposed in this paper. The DHNN system adequately uses the powerful function of artificial neural networks at aspects of pattern identification, nonlinear-approaching, associative memory et al. Its information processing mechanism coincides with the processing law of classification-sketchiness-accuracy in human biologic NN system. This system not only can deal with the advanced information required by fault location for HV overhead transmission lines but accurately locate the fault sites. Thus this method for fault location presented in this paper can thoroughly eliminate the disadvantages in other extant fault location methods, such as convergence to the false root or divergence in the procedure of iteration, which result in the great location error in practice. This paper pioneers a new direction to the study and application on fault location. Results from theoretical analyses and simulations by EMTP show that fault location precision of this method can completely satisfy practical requirements.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125793358","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441643
Chun-Lung Chen, Tsung-Ying Lee
Wind power penetration in Taiwan power system faces significant barriers due to limited transmission capability. One of the most important future challenges seems to be the management of the integration of fluctuations in the electricity production from wind energy sources. In this paper, a penalty function-direct search method (PF-DSM) is developed to further modify the direct search method (DSM) to improve computation efficiency. The PF-DSM algorithm is used to facilitate economic sharing of generation and reserve across areas, and minimize the total generation cost in the multi-area wind-thermal coordination dispatch problem. Several technique constraints are applied to determine the optimal proportion of wind generator capacity that can be integrated into the multi-area isolated system. Numerical experiments are included to understand the effects of wind generator capacity in production cost analysis and to illustrate the impacts of transmission capacity limits on wind power penetration level in each area.
{"title":"Impact Analysis of Transmission Capacity Constraints on Wind Power Penetration and Production Cost in Generation Dispatch","authors":"Chun-Lung Chen, Tsung-Ying Lee","doi":"10.1109/ISAP.2007.4441643","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441643","url":null,"abstract":"Wind power penetration in Taiwan power system faces significant barriers due to limited transmission capability. One of the most important future challenges seems to be the management of the integration of fluctuations in the electricity production from wind energy sources. In this paper, a penalty function-direct search method (PF-DSM) is developed to further modify the direct search method (DSM) to improve computation efficiency. The PF-DSM algorithm is used to facilitate economic sharing of generation and reserve across areas, and minimize the total generation cost in the multi-area wind-thermal coordination dispatch problem. Several technique constraints are applied to determine the optimal proportion of wind generator capacity that can be integrated into the multi-area isolated system. Numerical experiments are included to understand the effects of wind generator capacity in production cost analysis and to illustrate the impacts of transmission capacity limits on wind power penetration level in each area.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130106330","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441596
C. Lin, C.S. Chen, M.Y. Huang, H. Chuang, M. Kang, C.Y. Ho, C. Huang
In this paper, the immune algorithm (IA) is proposed to derive the rephasing strategy arrangement of laterals and distribution transformers to enhance three phase balancing of distribution systems. The multi-objective function is formulated by considering the unbalance of phasing currents, the customer service interruption cost and labor cost to perform the optimal rephasing strategy. To demonstrate the effectiveness of the proposed methodology to enhance three-phase balancing of distribution systems, a practical distribution feeder in Taipower with 523 customers is selected for computer simulation. By minimizing the objective function subjected to the operation constraints, the rephasing strategy has been derived by selecting the laterals and distribution transformers for phasing adjustment. The phase currents and neutral currents of test feeder before and after the execution of proposed rephasing strategy have been measured and collected by the SCADA system in Taipower. It is found that the neutral current of test feeder has been reduced to be less than the over neutral current limit by executing the rephasing of laterals and distribution transformers.
{"title":"Optimal Phase Arrangement of Distribution Feeders Using Immune Algorithm","authors":"C. Lin, C.S. Chen, M.Y. Huang, H. Chuang, M. Kang, C.Y. Ho, C. Huang","doi":"10.1109/ISAP.2007.4441596","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441596","url":null,"abstract":"In this paper, the immune algorithm (IA) is proposed to derive the rephasing strategy arrangement of laterals and distribution transformers to enhance three phase balancing of distribution systems. The multi-objective function is formulated by considering the unbalance of phasing currents, the customer service interruption cost and labor cost to perform the optimal rephasing strategy. To demonstrate the effectiveness of the proposed methodology to enhance three-phase balancing of distribution systems, a practical distribution feeder in Taipower with 523 customers is selected for computer simulation. By minimizing the objective function subjected to the operation constraints, the rephasing strategy has been derived by selecting the laterals and distribution transformers for phasing adjustment. The phase currents and neutral currents of test feeder before and after the execution of proposed rephasing strategy have been measured and collected by the SCADA system in Taipower. It is found that the neutral current of test feeder has been reduced to be less than the over neutral current limit by executing the rephasing of laterals and distribution transformers.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"9 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128833223","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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