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C. Orozco-Henao
Department of Electrical and Electronic Engineering, Universidad del Norte, Barranquilla 80001, Colombia

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Journal article
Published: 08 April 2021 in Applied Sciences
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This paper proposes a new hybrid master–slave optimization approach to address the problem of the optimal placement and sizing of distribution static compensators (D-STATCOMs) in electrical distribution grids. The optimal location of the D-STATCOMs is identified by implementing the classical and well-known Chu and Beasley genetic algorithm, which employs an integer codification to select the nodes where these will be installed. To determine the optimal sizes of the D-STATCOMs, a second-order cone programming reformulation of the optimal power flow problem is employed with the aim of minimizing the total costs of the daily energy losses. The objective function considered in this study is the minimization of the annual operative costs associated with energy losses and installation investments in D-STATCOMs. This objective function is subject to classical power balance constraints and device capabilities, which generates a mixed-integer nonlinear programming model that is solved with the proposed genetic-convex strategy. Numerical validations in the 33-node test feeder with radial configuration show the proposed genetic-convex model’s effectiveness to minimize the annual operative costs of the grid when compared with the optimization solvers available in GAMS software.

ACS Style

Oscar Montoya; Harold Chamorro; Lazaro Alvarado-Barrios; Walter Gil-González; César Orozco-Henao. Genetic-Convex Model for Dynamic Reactive Power Compensation in Distribution Networks Using D-STATCOMs. Applied Sciences 2021, 11, 3353 .

AMA Style

Oscar Montoya, Harold Chamorro, Lazaro Alvarado-Barrios, Walter Gil-González, César Orozco-Henao. Genetic-Convex Model for Dynamic Reactive Power Compensation in Distribution Networks Using D-STATCOMs. Applied Sciences. 2021; 11 (8):3353.

Chicago/Turabian Style

Oscar Montoya; Harold Chamorro; Lazaro Alvarado-Barrios; Walter Gil-González; César Orozco-Henao. 2021. "Genetic-Convex Model for Dynamic Reactive Power Compensation in Distribution Networks Using D-STATCOMs." Applied Sciences 11, no. 8: 3353.

Journal article
Published: 31 March 2021 in International Journal of Electrical Power & Energy Systems
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Micro-grid protection presents great technical challenges to utility company engineers. Several protection schemes have been developed towards a reliable operation on these type of networks, however, the methods are strongly dependent on robust communication systems. This paper presents a decentralized adaptive protection scheme and introduces a data-driven and communication-less approach. The presented solution uses an Artificial Neural Network to train Intelligent Electronic Devices as fault classifiers, also, it uses a cuckoo search metaheuristic to its quasi-optimal adjustment. The Artificial Neural Network enables each classifier to detect faults with only local voltage and current measurements. Presented solution does not assume communication between devices, however, each device brings support to their neighboring devices as back-up protection. Further, system dynamics on the electrical network, such as, changes of topologies, micro-grid status or Distributed Energy Resources outage are considered. The time coordination is simple and easily adjustable due to each fault label of the data-driven model has its own time operation. The presented method is validated on the modified IEEE 34-nodes test feeder. The results of the adaptive protection scheme show accuracy values above of 96% and dependability of 99%. Also, the solution reveals a correlation between the location and the combination of features and hyper-parameters for each Intelligent Electronic Device. The method is development to be easy-to-implement, without hard-to-design parameters, and with highlights potential aspects for real-life applications.

ACS Style

J. Marín-Quintero; C. Orozco-Henao; Juan C. Velez; A.S. Bretas. Micro grids decentralized hybrid data-driven cuckoo search based adaptive protection model. International Journal of Electrical Power & Energy Systems 2021, 130, 106960 .

AMA Style

J. Marín-Quintero, C. Orozco-Henao, Juan C. Velez, A.S. Bretas. Micro grids decentralized hybrid data-driven cuckoo search based adaptive protection model. International Journal of Electrical Power & Energy Systems. 2021; 130 ():106960.

Chicago/Turabian Style

J. Marín-Quintero; C. Orozco-Henao; Juan C. Velez; A.S. Bretas. 2021. "Micro grids decentralized hybrid data-driven cuckoo search based adaptive protection model." International Journal of Electrical Power & Energy Systems 130, no. : 106960.

Journal article
Published: 22 March 2021 in Electric Power Systems Research
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Distributed energy resources consideration by fault location formulations is a technical challenge. Stochastic behavior complicates deterministic solutions, while probabilistic approaches are yet to be fully explored. This paper presents analytical physics-based models towards the solution to this challenge. Presented models consider information availability from distributed energy resources to improve the fault location reliability. Information considered is divided into two categories: synchronized measurements provided by intelligent electronic devices located in the substation and in each terminal of distributed energy resources; and linear analytical-based models of distributed energy resources. Distributed energy resources models are used only when remote measurements are not available. Different distributed energy resources technologies and their operation modes are modeled. The presented fault location solution is validated on the IEEE 34-nodes test feeder modified. Easy-to-implement model, without hard-to-design parameters, built on the classical impedance-based fault location solution, indicates potential for real-life applications.

ACS Style

A.S. Bretas; C. Orozco-Henao; J. Marín-Quintero; O.D. Montoya; W. Gil-González; N.G. Bretas. Microgrids physics model-based fault location formulation: Analytic-based distributed energy resources effect compensation. Electric Power Systems Research 2021, 195, 107178 .

AMA Style

A.S. Bretas, C. Orozco-Henao, J. Marín-Quintero, O.D. Montoya, W. Gil-González, N.G. Bretas. Microgrids physics model-based fault location formulation: Analytic-based distributed energy resources effect compensation. Electric Power Systems Research. 2021; 195 ():107178.

Chicago/Turabian Style

A.S. Bretas; C. Orozco-Henao; J. Marín-Quintero; O.D. Montoya; W. Gil-González; N.G. Bretas. 2021. "Microgrids physics model-based fault location formulation: Analytic-based distributed energy resources effect compensation." Electric Power Systems Research 195, no. : 107178.

Journal article
Published: 26 October 2020 in Applied Soft Computing
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Conventional protection schemes have proven insufficient for the protection of Active Distribution Networks (ADN). Novel protection schemes with an adaptive approach should be developed to guarantee the protection of ADN under all their operating conditions. This paper proposes an ADN adaptive protection methodology, which is based on an intelligent approach fault detector over locally available measurements. This approach uses Machine Learning (ML) based techniques to reduce the strong dependence of the adaptive protection schemes on the availability of communication systems and to determine if, over a fault condition, an Intelligent Electronic Device (IED) should operate considering the changes in operational conditions of an ADN. Additionally, the methodology takes into account different and remarkable recommendations for the use of ML techniques. The proposed methodology is validated on the modified IEEE 34-nodes test feeder. Additionally, it takes into consideration typical features of ADN and micro-grids like the load imbalance, reconfiguration, changes in impedance upstream from the micro-grid, and off-grid/on-grid operation modes. The results demonstrate the flexibility and simplicity of the methodology to determine the best accuracy performance among several ML models. Besides, they show the methodology’s versatility to find the suitable ML model for IEDs located on different zones of an ADN. The ease of design’s implementation, formulation of parameters, and promising test results indicate the potential for real-life applications.

ACS Style

J. Marín-Quintero; C. Orozco-Henao; W.S. Percybrooks; Juan C. Vélez; Oscar Danilo Montoya; W. Gil-González. Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector. Applied Soft Computing 2020, 98, 106839 .

AMA Style

J. Marín-Quintero, C. Orozco-Henao, W.S. Percybrooks, Juan C. Vélez, Oscar Danilo Montoya, W. Gil-González. Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector. Applied Soft Computing. 2020; 98 ():106839.

Chicago/Turabian Style

J. Marín-Quintero; C. Orozco-Henao; W.S. Percybrooks; Juan C. Vélez; Oscar Danilo Montoya; W. Gil-González. 2020. "Toward an adaptive protection scheme in active distribution networks: Intelligent approach fault detector." Applied Soft Computing 98, no. : 106839.

Journal article
Published: 09 October 2020 in Electric Power Systems Research
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The convergence analysis of the power flow methodologies for direct current (dc) electrical networks is addressed in this paper. The Banach fixed-point theorem is employed to prove the convergence and uniqueness in the power flow solution for two different alternatives based on graph theory named successive approximations and triangular-based power flow. The successive approximation method works with radial and mesh grids, including multiple voltage-controlled sources. The triangular-based method only deals with radial structures and one slack node. A six-nodes high-voltage dc system is used to illustrate the convergence of the graph-based methods under study. Three test feeders composed of 33, 35, and 69 nodes are used to validate the effectiveness of the proposed approaches when compared with classical methods such as Newton-Raphson and Gauss-Seidel. In addition, large-scale radial distribution networks are generated randomly with 50 to 200 nodes to demonstrate the scalability of studied power flow methods regarding processing time and the number of iterations. All the simulations have been conducted in MATLAB software.

ACS Style

Oscar Danilo Montoya; Walter Gil-González; César Orozco-Henao. On the convergence of the power flow methods for DC networks with mesh and radial structures. Electric Power Systems Research 2020, 191, 106881 .

AMA Style

Oscar Danilo Montoya, Walter Gil-González, César Orozco-Henao. On the convergence of the power flow methods for DC networks with mesh and radial structures. Electric Power Systems Research. 2020; 191 ():106881.

Chicago/Turabian Style

Oscar Danilo Montoya; Walter Gil-González; César Orozco-Henao. 2020. "On the convergence of the power flow methods for DC networks with mesh and radial structures." Electric Power Systems Research 191, no. : 106881.

Journal article
Published: 27 August 2020 in Engineering Science and Technology, an International Journal
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In this study, we analyzed the optimal location and sizing of distributed generators (DGs) in radial distributed networks using a hybrid master-slave metaheuristic technique. The master stage corresponds to the selection of suitable points for the locations of the DGs, whereas the slave stage is the optimal dimensioning problem. The Chu-Beasley genetic algorithm (CBGA) is employed to solve the master stage, and the optimal power flow (OPF) method via the vortex search algorithm (VSA) is employed to solve the slave stage. The OPF solution from the VSA technique uses a successive approximation power flow to determine the voltage profiles and power losses by guaranteeing the energy balance in all the nodes of the network. The conventional and widely used 33- and 69-node test feeders are used to validate the hybrid CBGA-VSA for analyzing the optimal location and sizing of the DGs in the distribution networks using MATLAB software. The numerical results demonstrate the efficiency of the proposed optimization method in terms of power loss reduction as compared with the results available in the literature. An additional 24-h dimensioning analysis is included for demonstrating the efficiency and applicability of the proposed methodology for daily operations with renewable generation.

ACS Style

Oscar Danilo Montoya; Walter Gil-González; César Orozco-Henao. Vortex search and Chu-Beasley genetic algorithms for optimal location and sizing of distributed generators in distribution networks: A novel hybrid approach. Engineering Science and Technology, an International Journal 2020, 23, 1351 -1363.

AMA Style

Oscar Danilo Montoya, Walter Gil-González, César Orozco-Henao. Vortex search and Chu-Beasley genetic algorithms for optimal location and sizing of distributed generators in distribution networks: A novel hybrid approach. Engineering Science and Technology, an International Journal. 2020; 23 (6):1351-1363.

Chicago/Turabian Style

Oscar Danilo Montoya; Walter Gil-González; César Orozco-Henao. 2020. "Vortex search and Chu-Beasley genetic algorithms for optimal location and sizing of distributed generators in distribution networks: A novel hybrid approach." Engineering Science and Technology, an International Journal 23, no. 6: 1351-1363.

Journal article
Published: 23 April 2020 in Symmetry
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Here, we explore the possibility of employing proportional-integral passivity-based control (PI-PBC) to support active and reactive power in alternating current (AC) distribution networks by using a supercapacitor energy storage system. A direct power control approach is proposed by taking advantage of the Park’s reference frame transform direct and quadrature currents ( i d and i q ) into active and reactive powers (p and q). Based on the open-loop Hamiltonian model of the system, we propose a closed-loop PI-PBC controller that takes advantage of Lyapunov’s stability to design a global tracking controller. Numerical simulations in MATLAB/Simulink demonstrate the efficiency and robustness of the proposed controller, especially for parametric uncertainties.

ACS Style

Walter Gil-González; Federico Martin Serra; Oscar Danilo Montoya; Carlos Alberto Ramírez; César Orozco-Henao. Direct Power Compensation in AC Distribution Networks with SCES Systems via PI-PBC Approach. Symmetry 2020, 12, 666 .

AMA Style

Walter Gil-González, Federico Martin Serra, Oscar Danilo Montoya, Carlos Alberto Ramírez, César Orozco-Henao. Direct Power Compensation in AC Distribution Networks with SCES Systems via PI-PBC Approach. Symmetry. 2020; 12 (4):666.

Chicago/Turabian Style

Walter Gil-González; Federico Martin Serra; Oscar Danilo Montoya; Carlos Alberto Ramírez; César Orozco-Henao. 2020. "Direct Power Compensation in AC Distribution Networks with SCES Systems via PI-PBC Approach." Symmetry 12, no. 4: 666.

Journal article
Published: 06 March 2020 in Energies
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The dynamic features of microgrid operation, such as on-grid/off-grid operation mode, the intermittency of distributed generators, and its dynamic topology due to its ability to reconfigure itself, cause misfiring of conventional protection schemes. To solve this issue, adaptive protection schemes that use robust communication systems have been proposed for the protection of microgrids. However, the cost of this solution is significantly high. This paper presented an intelligent fault detection (FD) system for microgrids on the basis of local measurements and machine learning (ML) techniques. This proposed FD system provided a smart level to intelligent electronic devices (IED) installed on the microgrid through the integration of ML models. This allowed each IED to autonomously determine if a fault occurred on the microgrid, eliminating the requirement of robust communication infrastructure between IEDs for microgrid protection. Additionally, the proposed system presented a methodology composed of four stages, which allowed its implementation in any microgrid. In addition, each stage provided important recommendations for the proper use of ML techniques on the protection problem. The proposed FD system was validated on the modified IEEE 13-nodes test feeder. This took into consideration typical features of microgrids such as the load imbalance, reconfiguration, and off-grid/on-grid operation modes. The results demonstrated the flexibility and simplicity of the FD system in determining the best accuracy performance among several ML models. The ease of design’s implementation, formulation of parameters, and promising test results indicated the potential for real-life applications.

ACS Style

Cristian Cepeda; Cesar Orozco-Henao; Winston Percybrooks; Juan Diego Pulgarín-Rivera; Oscar Danilo Montoya; Walter Gil-González; Juan Carlos Vélez. Intelligent Fault Detection System for Microgrids. Energies 2020, 13, 1223 .

AMA Style

Cristian Cepeda, Cesar Orozco-Henao, Winston Percybrooks, Juan Diego Pulgarín-Rivera, Oscar Danilo Montoya, Walter Gil-González, Juan Carlos Vélez. Intelligent Fault Detection System for Microgrids. Energies. 2020; 13 (5):1223.

Chicago/Turabian Style

Cristian Cepeda; Cesar Orozco-Henao; Winston Percybrooks; Juan Diego Pulgarín-Rivera; Oscar Danilo Montoya; Walter Gil-González; Juan Carlos Vélez. 2020. "Intelligent Fault Detection System for Microgrids." Energies 13, no. 5: 1223.

Journal article
Published: 26 November 2019 in Energies
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This paper addresses the optimal dispatch problem for battery energy storage systems (BESSs) in direct current (DC) mode for an operational period of 24 h. The problem is represented by a nonlinear programming (NLP) model that was formulated using an exponential voltage-dependent load model, which is the main contribution of this paper. An artificial neural network was employed for the short-term prediction of available renewable energy from wind and photovoltaic sources. The NLP model was solved by using the general algebraic modeling system (GAMS) to implement a 30-node test feeder composed of four renewable generators and three batteries. Simulation results demonstrate that the cost reduction for a daily operation is drastically affected by the operating conditions of the BESS, as well as the type of load model used.

ACS Style

Oscar Danilo Montoya; Walter Gil-González; Luis Grisales-Noreña; César Orozco-Henao; Federico Serra. Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models. Energies 2019, 12, 4494 .

AMA Style

Oscar Danilo Montoya, Walter Gil-González, Luis Grisales-Noreña, César Orozco-Henao, Federico Serra. Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models. Energies. 2019; 12 (23):4494.

Chicago/Turabian Style

Oscar Danilo Montoya; Walter Gil-González; Luis Grisales-Noreña; César Orozco-Henao; Federico Serra. 2019. "Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models." Energies 12, no. 23: 4494.

Journal article
Published: 28 June 2019 in International Journal of Electrical Power & Energy Systems
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This paper presents an impedance-based method to estimate the fault location in transmission lines. The mathematical formulation uses a generalized equation for the estimation of the fault distance, which does not depend on the fault type, and its solution is obtained by the application of a least squares method. The method considers available voltage and current measurements at both terminals of the transmission line as well as the line parameters. Additionally, the proposed method shows an adequate performance for the fault detection. Moreover, you can use it for locating high and low impedance faults. The paper presents extensive numerical experiments demonstrating that the method has high accuracy; specifically, the error in fault location accuracy is under 10% for more than 80% of the test cases. The easiness of method implementation and encouraging test results indicate potential for real-life applications.

ACS Style

J. Doria-Garcia; C. Orozco-Henao; L.U. Iurinic; Juan Diego Pulgarín-Rivera. High impedance fault location: Generalized extension for ground faults. International Journal of Electrical Power & Energy Systems 2019, 114, 105387 .

AMA Style

J. Doria-Garcia, C. Orozco-Henao, L.U. Iurinic, Juan Diego Pulgarín-Rivera. High impedance fault location: Generalized extension for ground faults. International Journal of Electrical Power & Energy Systems. 2019; 114 ():105387.

Chicago/Turabian Style

J. Doria-Garcia; C. Orozco-Henao; L.U. Iurinic; Juan Diego Pulgarín-Rivera. 2019. "High impedance fault location: Generalized extension for ground faults." International Journal of Electrical Power & Energy Systems 114, no. : 105387.

Journal article
Published: 05 September 2018 in Applied Sciences
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Modern fault location methods are robust; however, they depend strongly on the availability of the measurements given by Distributed Energy Resources (DER). If the communication or synchronism of this information is lost, the fault location is not possible. This paper proposes an adaptive impedance-based fault location algorithm for active distribution systems. The proposal combines information provided by Intelligent Electronic Devices (IEDs) located at the substation, the knowledge of the network topology and parameters, as well as the distributed power sources, to estimate the fault location. Its adaptive feature is given by the use of a Distributed Energy Resources (DER) electrical model. This model is used to estimate the DER current contribution to the fault, in case the information provided by a local IED is not available. The method takes two types of DER technologies into account: Inverter non-interfaced DER (INIDER) and Inverter-interfaced DER (IIDER). The proposed method is validated on a modified IEEE 34-node test feeder, which was simulated with ATP/EMTP. The results obtained using the IEDs information, presented a maximum error of 0.8%. When this information is not available, the method’s performance decreases slightly, obtaining a maximum error of 1.1%. The proposed method showed better performance when compared with two state of the art methods, indicating potential use for real-life applications.

ACS Style

Cesar Orozco-Henao; Arturo Suman Bretas; Juan Marín-Quintero; Andres Herrera-Orozco; Juan Diego Pulgarín-Rivera; Juan C. Velez. Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks. Applied Sciences 2018, 8, 1563 .

AMA Style

Cesar Orozco-Henao, Arturo Suman Bretas, Juan Marín-Quintero, Andres Herrera-Orozco, Juan Diego Pulgarín-Rivera, Juan C. Velez. Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks. Applied Sciences. 2018; 8 (9):1563.

Chicago/Turabian Style

Cesar Orozco-Henao; Arturo Suman Bretas; Juan Marín-Quintero; Andres Herrera-Orozco; Juan Diego Pulgarín-Rivera; Juan C. Velez. 2018. "Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks." Applied Sciences 8, no. 9: 1563.

Journal article
Published: 01 July 2018 in International Journal of Electrical Power & Energy Systems
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This paper presents an analytical methodology to estimate the fault location in active distribution networks. State-of-the-art solutions for active distribution networks fault location consider wide-area measurements, which include synchronized measurements obtained by Phasor Measurement Units (PMU). For distribution networks though, the capital cost of such solutions is prohibitive. Most recently, solutions have been proposed without considering synchronized measurements. However, they have some limitations, such as not considering multiple inverter-interfaced Distributed Energy Resources (DER). The solution presented is composed of a load flow based approach, which uses only locally available measurements. A ladder iterative technique is proposed to estimate the system state variables during the fault period. DERs models, which consider various modes of operation and fault conditions are used. An impedance formulation which considers distribution networks inherent characteristics is presented. The proposed methodology is validated on the IEEE 34-nodes test feeder. The ease of implementation of design, formulation of parameters and encouraging test results indicate potential for real-life applications.

ACS Style

C. Orozco-Henao; Arturo Bretas; A.R. Herrera-Orozco; Juan Diego Pulgarín-Rivera; Surya Dhulipala; S. Wang. Towards active distribution networks fault location: Contributions considering DER analytical models and local measurements. International Journal of Electrical Power & Energy Systems 2018, 99, 454 -464.

AMA Style

C. Orozco-Henao, Arturo Bretas, A.R. Herrera-Orozco, Juan Diego Pulgarín-Rivera, Surya Dhulipala, S. Wang. Towards active distribution networks fault location: Contributions considering DER analytical models and local measurements. International Journal of Electrical Power & Energy Systems. 2018; 99 ():454-464.

Chicago/Turabian Style

C. Orozco-Henao; Arturo Bretas; A.R. Herrera-Orozco; Juan Diego Pulgarín-Rivera; Surya Dhulipala; S. Wang. 2018. "Towards active distribution networks fault location: Contributions considering DER analytical models and local measurements." International Journal of Electrical Power & Energy Systems 99, no. : 454-464.

Conference paper
Published: 01 October 2016 in 2016 17th International Conference on Harmonics and Quality of Power (ICHQP)
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The advances in power electronics and the awareness of the use of renewable energy has motivated the connection of Distributed Energy Resources (DER) into Power Distribution Networks. Additional challenges are related to the changes that the presence of DER cause on typical radial characteristics of distribution networks, which were not considered in the formulation of fault location methods. This paper presents a proposal for fault location for power distribution networks in presence of Inverter-Interfaced DER when these working in limiting current. The proposal uses a fault model of the inverter to consider its impact on the fault location. Thus, is assumed that the inverter always operates in limiting current mode when a fault event occurs. It allows estimate its current contribution to the fault point. A case study in the IEEE 34 Node Test Feeder is performed. This system is modeled on ATP/EMTP and modified with the insertion of an Inverter-Interfaced DER. The method is validated by consideration of two scenarios. Scenario 1 - DER penetration level effect and scenario 2 - Fault resistance on the proposed method effect. The results obtained presented a maximum error of 0.3%.

ACS Style

C. Orozco-Henao; A.S. Bretas; Roberto Chouhy Leborgne; A. Herrera; S. Martinez. Fault location in Distribution Network with Inverter-Interfaced Distributed Energy Resources in limiting current. 2016 17th International Conference on Harmonics and Quality of Power (ICHQP) 2016, 231 -236.

AMA Style

C. Orozco-Henao, A.S. Bretas, Roberto Chouhy Leborgne, A. Herrera, S. Martinez. Fault location in Distribution Network with Inverter-Interfaced Distributed Energy Resources in limiting current. 2016 17th International Conference on Harmonics and Quality of Power (ICHQP). 2016; ():231-236.

Chicago/Turabian Style

C. Orozco-Henao; A.S. Bretas; Roberto Chouhy Leborgne; A. Herrera; S. Martinez. 2016. "Fault location in Distribution Network with Inverter-Interfaced Distributed Energy Resources in limiting current." 2016 17th International Conference on Harmonics and Quality of Power (ICHQP) , no. : 231-236.

Conference paper
Published: 01 September 2012 in 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA)
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In this paper, a methodology to face the problem of fault location considering distributed generation is presented. As one of most relevant characteristic of the proposed method, the fault current is estimated using the measurements of voltage and current obtained at the power substation and at the node where the DG is located. This last measurements avoid the modeling effort required to represent the power generator, and also it possibilities to take into account their variations in fault and prefault steady states. The proposed methodology uses a method based on the estimation of the fault impedance which considers the effect of distributed generation and the variation of the load current. The methodology presented is validated in the IEEE 34-nodes test system, which is modified to connect one generator in the longest feeder. Tests are performed considering single phase faults, resistances from 0 to 40 ohms and distributed generation participation of 10%. Also, this methodology is validated in three scenarios: power system considering constant impedance load models, power system considering constant impedance, current and power load models and finally a power system considering the last models load and variations at the customer demand [50%-120%].

ACS Style

Cesar Orozco; J. Mora-Florez; S. Perez-Londono. A robust method for single phase fault location considering distributed generation and current compensation. 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA) 2012, 1 -7.

AMA Style

Cesar Orozco, J. Mora-Florez, S. Perez-Londono. A robust method for single phase fault location considering distributed generation and current compensation. 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA). 2012; ():1-7.

Chicago/Turabian Style

Cesar Orozco; J. Mora-Florez; S. Perez-Londono. 2012. "A robust method for single phase fault location considering distributed generation and current compensation." 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA) , no. : 1-7.

Conference paper
Published: 01 September 2012 in 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA)
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This paper presents the definition and the extended application of a fault location technique for power distribution systems based on the well defined equivalent sequence networks. The proposed location technique uses the voltages and currents measured at the main power substation and also at the DG source. The analysis is presented for a single phase to ground faults. The proposed fault localization technique is tested on the 24.9kV IEEE 34 nodes test feeder, which includes three-phase and single phase laterals and a main three phase distribution feeder, considering several fault resistance values in a rage of 0Ω to 40O. According to the results, the estimation errors obtained in fault distance are lower than ±1.5%.

ACS Style

A. Bedoya-Cadena; Cesar Orozco; J. Mora-Florez. Single phase to ground fault locator for distribution systems with distributed generation. 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA) 2012, 1 -7.

AMA Style

A. Bedoya-Cadena, Cesar Orozco, J. Mora-Florez. Single phase to ground fault locator for distribution systems with distributed generation. 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA). 2012; ():1-7.

Chicago/Turabian Style

A. Bedoya-Cadena; Cesar Orozco; J. Mora-Florez. 2012. "Single phase to ground fault locator for distribution systems with distributed generation." 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA) , no. : 1-7.