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Oscar Danilo Montoya was born in Obando, Valle, Colombia in 1989. He received his BEE, MSc, and Ph.D. degrees in Electrical Engineering from Universidad Tecnológica de Pereira, Colombia, in 2012, 2014 and, 2019 respectively. He is currently Assistant professor at Electrical Engineering programs from Universidad Distrital Francisco José de Caldas and Universidad Tecnológica de Bolívar in Colombia. His research interests include mathematical optimization, planning and control of power systems, renewable energies, energy storage, protective devices, passivity-based control, and dynamical analysis.
Passivity-based nonlinear control for an isolated microgrid system is proposed in this paper. The microgrid consists of a photovoltaic array and a battery energy storage connected to a point of common converters, supplying a constant power load. The purpose of this control strategy is to maintain the output direct current voltage in its reference value under load variations, improving battery interaction. The system is represented by its state space averaged model and the proposed controller is designed using the interconnection and damping assignment strategy, which allows obtaining controller parameters while ensuring the closed-loop system stability. The unknown constant power load is estimated using an observer based on the energy function of the system. The behavior of the proposed control strategy is validated with simulation and experimental results.
Guillermo Luciano Magaldi; Federico Martin Serra; Cristian Hernán de Angelo; Oscar Danilo Montoya; Diego Armando Giral-Ramírez. Voltage Regulation of an Isolated DC Microgrid with a Constant Power Load: A Passivity-based Control Design. Electronics 2021, 10, 2085 .
AMA StyleGuillermo Luciano Magaldi, Federico Martin Serra, Cristian Hernán de Angelo, Oscar Danilo Montoya, Diego Armando Giral-Ramírez. Voltage Regulation of an Isolated DC Microgrid with a Constant Power Load: A Passivity-based Control Design. Electronics. 2021; 10 (17):2085.
Chicago/Turabian StyleGuillermo Luciano Magaldi; Federico Martin Serra; Cristian Hernán de Angelo; Oscar Danilo Montoya; Diego Armando Giral-Ramírez. 2021. "Voltage Regulation of an Isolated DC Microgrid with a Constant Power Load: A Passivity-based Control Design." Electronics 10, no. 17: 2085.
The optimal expansion of AC medium-voltage distribution grids for rural applications is addressed in this study from a heuristic perspective. The optimal routes of a distribution feeder are selected by applying the concept of a minimum spanning tree by limiting the number of branches that are connected to a substation (mixed-integer linear programming formulation). In order to choose the caliber of the conductors for the selected feeder routes, the maximum expected current that is absorbed by the loads is calculated, thereby defining the minimum thermal bound of the conductor caliber. With the topology and the initial selection of the conductors, a tabu search algorithm (TSA) is implemented to refine the solution with the help of a three-phase power flow simulation in MATLAB for three different load conditions, i.e., maximum, medium, and minimum consumption with values of 100%, 60%, and 30%, respectively. This helps in calculating the annual costs of the energy losses that will be summed with the investment cost in conductors for determining the final costs of the planning project. Numerical simulations in two test feeders comprising 9 and 25 nodes with one substation show the effectiveness of the proposed methodology regarding the final grid planning cost; in addition, the heuristic selection of the calibers using the minimum expected current absorbed by the loads provides at least 70% of the calibers that are contained in the final solution of the problem. This demonstrates the importance of using adequate starting points to potentiate metaheuristic optimizers such as the TSA.
Oscar Danilo Montoya; Federico Martin Serra; Cristian Hernan De Angelo; Harold R. Chamorro; Lazaro Alvarado-Barrios. Heuristic Methodology for Planning AC Rural Medium-Voltage Distribution Grids. Energies 2021, 14, 5141 .
AMA StyleOscar Danilo Montoya, Federico Martin Serra, Cristian Hernan De Angelo, Harold R. Chamorro, Lazaro Alvarado-Barrios. Heuristic Methodology for Planning AC Rural Medium-Voltage Distribution Grids. Energies. 2021; 14 (16):5141.
Chicago/Turabian StyleOscar Danilo Montoya; Federico Martin Serra; Cristian Hernan De Angelo; Harold R. Chamorro; Lazaro Alvarado-Barrios. 2021. "Heuristic Methodology for Planning AC Rural Medium-Voltage Distribution Grids." Energies 14, no. 16: 5141.
In this paper, we propose a master–slave methodology to address the problem of optimal integration (location and sizing) of Distributed Generators (DGs) in Direct Current (DC) networks. This proposed methodology employs a parallel version of the Population-Based Incremental Learning (PPBIL) optimization method in the master stage to solve the location problem and the Vortex Search Algorithm (VSA) in the slave stage to solve the sizing problem. In addition, it uses the reduction of power losses as the objective function, considering all the constraints associated with the technical conditions specific to DGs and DC networks. To validate its effectiveness and robustness, we use as comparison methods, different solution methodologies that have been reported in the specialized literature, as well as two test systems (the 21 and 69-bus test systems). All simulations were performed in MATLAB. According to the results, the proposed hybrid (PPBIL–VSA) methodology provides the best trade-off between quality of the solution and processing times and exhibits an adequate repeatability every time it is executed.
Luis Fernando Grisales-Noreña; Oscar Danilo Montoya; Ricardo Alberto Hincapié-Isaza; Mauricio Granada Echeverri; Alberto-Jesus Perea-Moreno. Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA. Mathematics 2021, 9, 1913 .
AMA StyleLuis Fernando Grisales-Noreña, Oscar Danilo Montoya, Ricardo Alberto Hincapié-Isaza, Mauricio Granada Echeverri, Alberto-Jesus Perea-Moreno. Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA. Mathematics. 2021; 9 (16):1913.
Chicago/Turabian StyleLuis Fernando Grisales-Noreña; Oscar Danilo Montoya; Ricardo Alberto Hincapié-Isaza; Mauricio Granada Echeverri; Alberto-Jesus Perea-Moreno. 2021. "Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA." Mathematics 9, no. 16: 1913.
This paper addresses the optimal power flow problem in direct current (DC) networks employing a master–slave solution methodology that combines an optimization algorithm based on the multiverse theory (master stage) and the numerical method of successive approximation (slave stage). The master stage proposes power levels to be injected by each distributed generator in the DC network, and the slave stage evaluates the impact of each power configuration (proposed by the master stage) on the objective function and the set of constraints that compose the problem. In this study, the objective function is the reduction of electrical power losses associated with energy transmission. In addition, the constraints are the global power balance, nodal voltage limits, current limits, and a maximum level of penetration of distributed generators. In order to validate the robustness and repeatability of the solution, this study used four other optimization methods that have been reported in the specialized literature to solve the problem addressed here: ant lion optimization, particle swarm optimization, continuous genetic algorithm, and black hole optimization algorithm. All of them employed the method based on successive approximation to solve the load flow problem (slave stage). The 21- and 69-node test systems were used for this purpose, enabling the distributed generators to inject
Andrés Rosales-Muñoz; Luis Grisales-Noreña; Jhon Montano; Oscar Montoya; Alberto-Jesus Perea-Moreno. Application of the Multiverse Optimization Method to Solve the Optimal Power Flow Problem in Direct Current Electrical Networks. Sustainability 2021, 13, 8703 .
AMA StyleAndrés Rosales-Muñoz, Luis Grisales-Noreña, Jhon Montano, Oscar Montoya, Alberto-Jesus Perea-Moreno. Application of the Multiverse Optimization Method to Solve the Optimal Power Flow Problem in Direct Current Electrical Networks. Sustainability. 2021; 13 (16):8703.
Chicago/Turabian StyleAndrés Rosales-Muñoz; Luis Grisales-Noreña; Jhon Montano; Oscar Montoya; Alberto-Jesus Perea-Moreno. 2021. "Application of the Multiverse Optimization Method to Solve the Optimal Power Flow Problem in Direct Current Electrical Networks." Sustainability 13, no. 16: 8703.
The problem of optimal phase-balancing in three-phase asymmetric distribution networks is addressed in this research from the point of view of combinatorial optimization using a master–slave optimization approach. The master stage employs an improved sine cosine algorithm (ISCA), which is entrusted with determining the load reconfiguration at each node. The slave stage evaluates the energy losses for each set of load connections provided by the master stage by implementing the triangular-based power flow method. The mathematical model that was solved using the ISCA is designed to minimize the annual operating costs of the three-phase network. These costs include the annual costs of the energy losses, considering daily active and reactive power curves, as well as the costs of the working groups tasked with the implementation of the phase-balancing plan at each node. The peak load scenario was evaluated for a 15-bus test system to demonstrate the effectiveness of the proposed ISCA in reducing the power loss (18.66%) compared with optimization methods such as genetic algorithm (18.64%), the classical sine cosine algorithm (18.42%), black-hole optimizer (18.38%), and vortex search algorithm (18.59%). The IEEE 37-bus system was employed to determine the annual total costs of the network before and after implementing the phase-balancing plan provided by the proposed ISCA. The annual operative costs were reduced by about 13% with respect to the benchmark case, with investments between USD 2100 and USD 2200 in phase-balancing activities developed by the working groups. In addition, the positive effects of implementing the phase-balancing plan were evidenced in the voltage performance of the IEEE 37-bus system by improving the voltage regulation with a maximum of 4% in the whole network from an initial regulation of
Oscar Montoya; Jorge Alarcon-Villamil; Jesus Hernández. Operating Cost Reduction in Distribution Networks Based on the Optimal Phase-Swapping including the Costs of the Working Groups and Energy Losses. Energies 2021, 14, 4535 .
AMA StyleOscar Montoya, Jorge Alarcon-Villamil, Jesus Hernández. Operating Cost Reduction in Distribution Networks Based on the Optimal Phase-Swapping including the Costs of the Working Groups and Energy Losses. Energies. 2021; 14 (15):4535.
Chicago/Turabian StyleOscar Montoya; Jorge Alarcon-Villamil; Jesus Hernández. 2021. "Operating Cost Reduction in Distribution Networks Based on the Optimal Phase-Swapping including the Costs of the Working Groups and Energy Losses." Energies 14, no. 15: 4535.
This paper discusses the power loss minimization problem in asymmetric distribution systems (ADS) based on phase swapping. This problem is presented using a mixed-integer nonlinear programming model, which is resolved by applying a master–slave methodology. The master stage consists of an improved version of the crow search algorithm. This stage is based on the generation of candidate solutions using a normal Gaussian probability distribution. The master stage is responsible for providing the connection settings for the system loads using integer coding. The slave stage uses a power flow for ADSs based on the three-phase version of the iterative sweep method, which is used to determine the network power losses for each load connection supplied by the master stage. Numerical results on the 8-, 25-, and 37-node test systems show the efficiency of the proposed approach when compared to the classical version of the crow search algorithm, the Chu and Beasley genetic algorithm, and the vortex search algorithm. All simulations were obtained using MATLAB and validated in the DigSILENT power system analysis software.
Brandon Cortés-Caicedo; Laura Avellaneda-Gómez; Oscar Montoya; Lázaro Alvarado-Barrios; César Álvarez-Arroyo. An Improved Crow Search Algorithm Applied to the Phase Swapping Problem in Asymmetric Distribution Systems. Symmetry 2021, 13, 1329 .
AMA StyleBrandon Cortés-Caicedo, Laura Avellaneda-Gómez, Oscar Montoya, Lázaro Alvarado-Barrios, César Álvarez-Arroyo. An Improved Crow Search Algorithm Applied to the Phase Swapping Problem in Asymmetric Distribution Systems. Symmetry. 2021; 13 (8):1329.
Chicago/Turabian StyleBrandon Cortés-Caicedo; Laura Avellaneda-Gómez; Oscar Montoya; Lázaro Alvarado-Barrios; César Álvarez-Arroyo. 2021. "An Improved Crow Search Algorithm Applied to the Phase Swapping Problem in Asymmetric Distribution Systems." Symmetry 13, no. 8: 1329.
In this study, a new methodology is proposed to perform optimal selection of conductors in three-phase distribution networks through a discrete version of the metaheuristic method of vortex search. To represent the problem, a single-objective mathematical model with a mixed-integer nonlinear programming (MINLP) structure is used. As an objective function, minimization of the investment costs in conductors together with the technical losses of the network for a study period of one year is considered. Additionally, the model will be implemented in balanced and unbalanced test systems and with variations in the connection of their loads, i.e.,
John Martínez-Gil; Nicolas Moyano-García; Oscar Montoya; Jorge Alarcon-Villamil. Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Computation 2021, 9, 80 .
AMA StyleJohn Martínez-Gil, Nicolas Moyano-García, Oscar Montoya, Jorge Alarcon-Villamil. Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm. Computation. 2021; 9 (7):80.
Chicago/Turabian StyleJohn Martínez-Gil; Nicolas Moyano-García; Oscar Montoya; Jorge Alarcon-Villamil. 2021. "Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm." Computation 9, no. 7: 80.
This paper addresses the problem of parametric estimation in solar cells considering manufacturer datasheet information regarding open-circuit, short-circuit, and maximum power points from the point of view of mathematical optimization. To represent this problem a single-objective function is formulated associated with the minimization of the mean square error of the single-diode model evaluated in the operational points reported by the manufacturer. The solution of this nonlinear non-convex optimization model is addressed with a metaheuristic optimization technique known in specialized literature as a vortex search algorithm (VSA). This metaheuristic optimization method works with Gaussian distribution functions and variable radius to explore and exploit the solution space by generating hyperspheres that move through the solution space as a function of the best current solution. The VSA is implemented in MATLAB environment by using commercial photovoltaic module information, where numerical results demonstrate the efficiency of this optimization method with objective functions lower than 1times10-25 and processing times around 6.13s.
Oscar Danilo Montoya; Walter Julian Gil-Gonzalez; Jesus Maria Lopez-Lezama. Vortex Search Algorithm Applied to the Parametric Estimation in PV Cells Considering Manufacturer Datasheet Information. IEEE Latin America Transactions 2021, 19, 1581 -1589.
AMA StyleOscar Danilo Montoya, Walter Julian Gil-Gonzalez, Jesus Maria Lopez-Lezama. Vortex Search Algorithm Applied to the Parametric Estimation in PV Cells Considering Manufacturer Datasheet Information. IEEE Latin America Transactions. 2021; 19 (9):1581-1589.
Chicago/Turabian StyleOscar Danilo Montoya; Walter Julian Gil-Gonzalez; Jesus Maria Lopez-Lezama. 2021. "Vortex Search Algorithm Applied to the Parametric Estimation in PV Cells Considering Manufacturer Datasheet Information." IEEE Latin America Transactions 19, no. 9: 1581-1589.
The problem of the optimal load redistribution in electrical three-phase medium-voltage grids is addressed in this research from the point of view of mixed-integer convex optimization. The mathematical formulation of the load redistribution problem is developed in terminals of the distribution node by accumulating all active and reactive power loads per phase. These loads are used to propose an objective function in terms of minimization of the average unbalanced (asymmetry) grade of the network with respect to the ideal mean consumption per-phase. The objective function is defined as the
Oscar Montoya; Andres Arias-Londoño; Luis Grisales-Noreña; José Barrios; Harold Chamorro. Optimal Demand Reconfiguration in Three-Phase Distribution Grids Using an MI-Convex Model. Symmetry 2021, 13, 1124 .
AMA StyleOscar Montoya, Andres Arias-Londoño, Luis Grisales-Noreña, José Barrios, Harold Chamorro. Optimal Demand Reconfiguration in Three-Phase Distribution Grids Using an MI-Convex Model. Symmetry. 2021; 13 (7):1124.
Chicago/Turabian StyleOscar Montoya; Andres Arias-Londoño; Luis Grisales-Noreña; José Barrios; Harold Chamorro. 2021. "Optimal Demand Reconfiguration in Three-Phase Distribution Grids Using an MI-Convex Model." Symmetry 13, no. 7: 1124.
In this study, we present a master–slave methodology to solve the problem of optimal power dispatch in a direct current (DC) microgrid. In the master stage, the Antlion Optimization (ALO) method solves the problem of power dispatch by the Distributed Generators (DGs); in the slave stage, a numerical method based on successive approximations (SA) evaluates the load flows required by the potential solutions proposed by the ALO technique. The objective functions in this paper are the minimization of energy production costs and the reduction of \(\hbox {CO}_2\) emissions produced by the diesel generators in the microgrid. To favor energy efficiency and have a lower negative impact on the environment, the DC microgrids under study here include three DGs (one diesel generator and two generators based on renewable energy sources, i.e., solar energy and wind power) and a slack bus connected to a public electrical grid. The effectiveness of the proposed ALO–SA methodology was tested in the 21- and 69-bus test systems. We used three other optimization techniques to compare methods in the master stage: particle swarm optimization, continuous genetic algorithm, and black hole optimization. Additionally, we combined SA with every method to solve the load flow problem in the slave stage. The results show that, among the methods analyzed in this study, the proposed ALO–AS methodology achieves the best performance in terms of lower energy production costs, less \(\hbox {CO}_2\) emissions, and shorter computational processing times. All the simulations were performed in MATLAB.
J. A. Ocampo-Toro; O. D. Garzon-Rivera; L. F. Grisales-Noreña; O. D. Montoya-Giraldo; W. Gil-González. Optimal Power Dispatch in Direct Current Networks to Reduce Energy Production Costs and $$\hbox {CO}_2$$ Emissions Using the Antlion Optimization Algorithm. Arabian Journal for Science and Engineering 2021, 1 -12.
AMA StyleJ. A. Ocampo-Toro, O. D. Garzon-Rivera, L. F. Grisales-Noreña, O. D. Montoya-Giraldo, W. Gil-González. Optimal Power Dispatch in Direct Current Networks to Reduce Energy Production Costs and $$\hbox {CO}_2$$ Emissions Using the Antlion Optimization Algorithm. Arabian Journal for Science and Engineering. 2021; ():1-12.
Chicago/Turabian StyleJ. A. Ocampo-Toro; O. D. Garzon-Rivera; L. F. Grisales-Noreña; O. D. Montoya-Giraldo; W. Gil-González. 2021. "Optimal Power Dispatch in Direct Current Networks to Reduce Energy Production Costs and $$\hbox {CO}_2$$ Emissions Using the Antlion Optimization Algorithm." Arabian Journal for Science and Engineering , no. : 1-12.
In this paper, we propose a new discrete-continuous codification of the Chu–Beasley genetic algorithm to address the optimal placement and sizing problem of the distribution static compensators (D-STATCOM) in electrical distribution grids. The discrete part of the codification determines the nodes where D-STATCOM will be installed. The continuous part of the codification regulates their sizes. The objective function considered in this study is the minimization of the annual operative costs regarding energy losses and installation investments in D-STATCOM. This objective function is subject to the classical power balance constraints and devices’ capabilities. The proposed discrete-continuous version of the genetic algorithm solves the mixed-integer non-linear programming model that the classical power balance generates. Numerical validations in the 33 test feeder with radial and meshed configurations show that the proposed approach effectively minimizes the annual operating costs of the grid. In addition, the GAMS software compares the results of the proposed optimization method, which allows demonstrating its efficiency and robustness.
Cristian Castiblanco-Pérez; David Toro-Rodríguez; Oscar Montoya; Diego Giral-Ramírez. Optimal Placement and Sizing of D-STATCOM in Radial and Meshed Distribution Networks Using a Discrete-Continuous Version of the Genetic Algorithm. Electronics 2021, 10, 1452 .
AMA StyleCristian Castiblanco-Pérez, David Toro-Rodríguez, Oscar Montoya, Diego Giral-Ramírez. Optimal Placement and Sizing of D-STATCOM in Radial and Meshed Distribution Networks Using a Discrete-Continuous Version of the Genetic Algorithm. Electronics. 2021; 10 (12):1452.
Chicago/Turabian StyleCristian Castiblanco-Pérez; David Toro-Rodríguez; Oscar Montoya; Diego Giral-Ramírez. 2021. "Optimal Placement and Sizing of D-STATCOM in Radial and Meshed Distribution Networks Using a Discrete-Continuous Version of the Genetic Algorithm." Electronics 10, no. 12: 1452.
This paper addresses the phase-balancing problem in three-phase power grids with the radial configuration from the perspective of master–slave optimization. The master stage corresponds to an improved version of the Chu and Beasley genetic algorithm, which is based on the multi-point mutation operator and the generation of solutions using a Gaussian normal distribution based on the exploration and exploitation schemes of the vortex search algorithm. The master stage is entrusted with determining the configuration of the phases by using an integer codification. In the slave stage, a power flow for imbalanced distribution grids based on the three-phase version of the successive approximation method was used to determine the costs of daily energy losses. The objective of the optimization model is to minimize the annual operative costs of the network by considering the daily active and reactive power curves. Numerical results from a modified version of the IEEE 37-node test feeder demonstrate that it is possible to reduce the annual operative costs of the network by approximately 20% by using optimal load balancing. In addition, numerical results demonstrated that the improved version of the CBGA is at least three times faster than the classical CBGA, this was obtained in the peak load case for a test feeder composed of 15 nodes; also, the improved version of the CBGA was nineteen times faster than the vortex search algorithm. Other comparisons with the sine–cosine algorithm and the black hole optimizer confirmed the efficiency of the proposed optimization method regarding running time and objective function values.
Oscar Montoya; Alexander Molina-Cabrera; Luis Grisales-Noreña; Ricardo Hincapié; Mauricio Granada. Improved Genetic Algorithm for Phase-Balancing in Three-Phase Distribution Networks: A Master-Slave Optimization Approach. Computation 2021, 9, 67 .
AMA StyleOscar Montoya, Alexander Molina-Cabrera, Luis Grisales-Noreña, Ricardo Hincapié, Mauricio Granada. Improved Genetic Algorithm for Phase-Balancing in Three-Phase Distribution Networks: A Master-Slave Optimization Approach. Computation. 2021; 9 (6):67.
Chicago/Turabian StyleOscar Montoya; Alexander Molina-Cabrera; Luis Grisales-Noreña; Ricardo Hincapié; Mauricio Granada. 2021. "Improved Genetic Algorithm for Phase-Balancing in Three-Phase Distribution Networks: A Master-Slave Optimization Approach." Computation 9, no. 6: 67.
The power flow problem in three-phase unbalanced distribution networks is addressed in this research using a derivative-free numerical method based on the upper-triangular matrix. The upper-triangular matrix is obtained from the topological connection among nodes of the network (i.e., through a graph-based method). The main advantage of the proposed three-phase power flow method is the possibility of working with single-, two-, and three-phase loads, including
Oscar Montoya; Juan Giraldo; Luis Grisales-Noreña; Harold Chamorro; Lazaro Alvarado-Barrios. Accurate and Efficient Derivative-Free Three-Phase Power Flow Method for Unbalanced Distribution Networks. Computation 2021, 9, 61 .
AMA StyleOscar Montoya, Juan Giraldo, Luis Grisales-Noreña, Harold Chamorro, Lazaro Alvarado-Barrios. Accurate and Efficient Derivative-Free Three-Phase Power Flow Method for Unbalanced Distribution Networks. Computation. 2021; 9 (6):61.
Chicago/Turabian StyleOscar Montoya; Juan Giraldo; Luis Grisales-Noreña; Harold Chamorro; Lazaro Alvarado-Barrios. 2021. "Accurate and Efficient Derivative-Free Three-Phase Power Flow Method for Unbalanced Distribution Networks." Computation 9, no. 6: 61.
Transportation electrification has demonstrated a significant position on power utilities and logistic companies, in terms of assets operation and management. Under this context, this paper presents the problem of seeking feasible and good quality routes for electric light commercial vehicles considering battery capacity and charging station siting on the power distribution system. Different transportation patterns for goods delivery are included, such as the capacitated vehicle routing problem and the shortest path problem for the last mile delivery. To solve the problem framed within a mixed integer linear mathematical model, the GAMS software is used and validated on a test instance conformed by a 19-customer transportation network, spatially combined with the IEEE 34 nodes power distribution system. The sensitivity analysis, performed during the computational experiments, show the behavior of the variables involved in the logistics operation, i.e., routing cost for each transport pattern. The trade-off between the battery capacity, the cost of the charging station installation, and energy losses on the power distribution system is also shown, including the energy consumption cost created by the charging operation.
Andrés Arias-Londoño; Walter Gil-González; Oscar Montoya. A Linearized Approach for the Electric Light Commercial Vehicle Routing Problem Combined with Charging Station Siting and Power Distribution Network Assessment. Applied Sciences 2021, 11, 4870 .
AMA StyleAndrés Arias-Londoño, Walter Gil-González, Oscar Montoya. A Linearized Approach for the Electric Light Commercial Vehicle Routing Problem Combined with Charging Station Siting and Power Distribution Network Assessment. Applied Sciences. 2021; 11 (11):4870.
Chicago/Turabian StyleAndrés Arias-Londoño; Walter Gil-González; Oscar Montoya. 2021. "A Linearized Approach for the Electric Light Commercial Vehicle Routing Problem Combined with Charging Station Siting and Power Distribution Network Assessment." Applied Sciences 11, no. 11: 4870.
The problem of the optimal siting and placement of static compensates (STATCOMs) in power systems is addressed in this paper from an exact mathematical optimization point of view. A mixed-integer nonlinear programming model to present the problem was developed with the aim of minimizing the annual operating costs of the power system, which is the sum of the costs of the energy losses and of the installation of the STATCOMs. The optimization model has constraints regarding the active and reactive power balance equations and those associated with the devices’ capabilities, among others. To characterize the electrical behavior of the power system, different load profiles such as residential, industrial, and commercial are considered for a period of 24 h of operation. The solution of the proposed model is reached with the general algebraic modeling system optimization package. The numerical results indicate the positive effect of the dynamic reactive power injections in the power systems on annual operating cost reduction. A Pareto front was built to present the multi-objective behavior of the studied problem when compared to investment and operative costs. The complete numerical validations are made in the IEEE 24-, IEEE 33-, and IEEE 69-bus systems, respectively.
Oscar Montoya; Jose Fuentes; Francisco Moya; José Barrios; Harold Chamorro. Reduction of Annual Operational Costs in Power Systems through the Optimal Siting and Sizing of STATCOMs. Applied Sciences 2021, 11, 4634 .
AMA StyleOscar Montoya, Jose Fuentes, Francisco Moya, José Barrios, Harold Chamorro. Reduction of Annual Operational Costs in Power Systems through the Optimal Siting and Sizing of STATCOMs. Applied Sciences. 2021; 11 (10):4634.
Chicago/Turabian StyleOscar Montoya; Jose Fuentes; Francisco Moya; José Barrios; Harold Chamorro. 2021. "Reduction of Annual Operational Costs in Power Systems through the Optimal Siting and Sizing of STATCOMs." Applied Sciences 11, no. 10: 4634.
This paper deals with the optimal siting and sizing problem of photovoltaic (PV) generators in electrical distribution networks considering daily load and generation profiles. It proposes the discrete-continuous version of the vortex search algorithm (DCVSA) to locate and size the PV sources where the discrete part of the codification defines the nodes. Renewable generators are installed in these nodes, and the continuous section determines their optimal sizes. In addition, through the successive approximation power flow method, the objective function of the optimization model is obtained. This objective function is related to the minimization of the daily energy losses. This method allows determining the power losses in each period for each renewable generation input provided by the DCVSA (i.e., location and sizing of the PV sources). Numerical validations in the IEEE 33- and IEEE 69-bus systems demonstrate that: (i) the proposed DCVSA finds the optimal global solution for both test feeders when the location and size of the PV generators are explored, considering the peak load scenario. (ii) In the case of the daily operative scenario, the total reduction of energy losses for both test feeders are 23.3643% and 24.3863%, respectively; and (iii) the DCVSA presents a better numerical performance regarding the objective function value when compared with the BONMIN solver in the GAMS software, which demonstrates the effectiveness and robustness of the proposed master-slave optimization algorithm.
Alejandra Paz-Rodríguez; Juan Castro-Ordoñez; Oscar Montoya; Diego Giral-Ramírez. Optimal Integration of Photovoltaic Sources in Distribution Networks for Daily Energy Losses Minimization Using the Vortex Search Algorithm. Applied Sciences 2021, 11, 4418 .
AMA StyleAlejandra Paz-Rodríguez, Juan Castro-Ordoñez, Oscar Montoya, Diego Giral-Ramírez. Optimal Integration of Photovoltaic Sources in Distribution Networks for Daily Energy Losses Minimization Using the Vortex Search Algorithm. Applied Sciences. 2021; 11 (10):4418.
Chicago/Turabian StyleAlejandra Paz-Rodríguez; Juan Castro-Ordoñez; Oscar Montoya; Diego Giral-Ramírez. 2021. "Optimal Integration of Photovoltaic Sources in Distribution Networks for Daily Energy Losses Minimization Using the Vortex Search Algorithm." Applied Sciences 11, no. 10: 4418.
The problem of the optimal placement and sizing of photovoltaic power plants in electrical power systems from high- to medium-voltage levels is addressed in this research from the point of view of the exact mathematical optimization. To represent this problem, a mixed-integer nonlinear programming model considering the daily demand and solar radiation curves was developed. The main advantage of the proposed optimization model corresponds to the usage of the reactive power capabilities of the power electronic converter that interfaces the photovoltaic sources with the power systems, which can work with lagging or leading power factors. To model the dynamic reactive power compensation, the
Andrés Buitrago-Velandia; Oscar Montoya; Walter Gil-González. Dynamic Reactive Power Compensation in Power Systems through the Optimal Siting and Sizing of Photovoltaic Sources. Resources 2021, 10, 47 .
AMA StyleAndrés Buitrago-Velandia, Oscar Montoya, Walter Gil-González. Dynamic Reactive Power Compensation in Power Systems through the Optimal Siting and Sizing of Photovoltaic Sources. Resources. 2021; 10 (5):47.
Chicago/Turabian StyleAndrés Buitrago-Velandia; Oscar Montoya; Walter Gil-González. 2021. "Dynamic Reactive Power Compensation in Power Systems through the Optimal Siting and Sizing of Photovoltaic Sources." Resources 10, no. 5: 47.
This paper presents a model for stabilizing multi-terminal high voltage direct-current (MT-HVDC) networks with constant power terminals (CPTs) interfaced with power electronic converters. A hierarchical structure of hierarchical control is developed, which guarantees a stable operation under load variations. This structure includes a port-Hamiltonian formulation representing the network dynamics and a passivity-based control (PBC) for the primary control. This control guarantees stability according to Lyapunov’s theory. Next, a convex optimal power flow formulation based on semidefinite programming (SDP) defines the control’s set point in the secondary/tertiary control. The proposed stabilization scheme is general for both point-to-point HVDC systems and MT-HVDC grids. Simulation results in MATLAB/Simulink demonstrate the stability of the primary control and the optimal performance of the secondary/tertiary control, considering three simulation scenarios on a reduced version of the CIGRE MT-HVDC test system: (i) variation of generation and load, (ii) short-circuit events with different fault resistances and (iii) grid topology variation. These simulations prove the applicability and efficiency of the proposed approach.
Oscar Danilo Montoya; Walter Gil-González; Alejandro Garces; Federico Serra; Jesus C. Hernández. Stabilization of MT-HVDC grids via passivity-based control and convex optimization. Electric Power Systems Research 2021, 196, 107273 .
AMA StyleOscar Danilo Montoya, Walter Gil-González, Alejandro Garces, Federico Serra, Jesus C. Hernández. Stabilization of MT-HVDC grids via passivity-based control and convex optimization. Electric Power Systems Research. 2021; 196 ():107273.
Chicago/Turabian StyleOscar Danilo Montoya; Walter Gil-González; Alejandro Garces; Federico Serra; Jesus C. Hernández. 2021. "Stabilization of MT-HVDC grids via passivity-based control and convex optimization." Electric Power Systems Research 196, no. : 107273.
This paper proposes adaptive virtual inertia for the synchronverter model implemented in a wind turbine generator system integrated into the grid through a back-to-back converter. A linear dynamic system is developed for the proposed adaptive virtual inertia, which employs the frequency deviation and the rotor angle deviation of the synchronverter model as the state variables and the virtual inertia and frequency droop gain as the control variables. In addition, the proposed adaptive virtual inertia uses a linear quadratic regulator to ensure the optimal balance between fast frequency response and wind turbine generator system stress during disturbances. Hence, it minimizes frequency deviations with minimum effort. Several case simulations are proposed and carried out in MATLAB/Simulink software, and the results demonstrate the effectiveness and feasibility of the proposed adaptive virtual inertia synchronverter based on a linear quadratic regulator. The maximum and minimum frequency, the rate change of the frequency, and the integral of time-weighted absolute error are computed to quantify the performance of the proposed adaptive virtual inertia. These indexes are reduced by 46.61%, 52.67%, 79.41%, and 34.66%, in the worst case, when the proposed adaptive model is compared to the conventional synchronverter model.
Walter Gil-González; Oscar Montoya; Andrés Escobar-Mejía; Jesús Hernández. LQR-Based Adaptive Virtual Inertia for Grid Integration of Wind Energy Conversion System Based on Synchronverter Model. Electronics 2021, 10, 1022 .
AMA StyleWalter Gil-González, Oscar Montoya, Andrés Escobar-Mejía, Jesús Hernández. LQR-Based Adaptive Virtual Inertia for Grid Integration of Wind Energy Conversion System Based on Synchronverter Model. Electronics. 2021; 10 (9):1022.
Chicago/Turabian StyleWalter Gil-González; Oscar Montoya; Andrés Escobar-Mejía; Jesús Hernández. 2021. "LQR-Based Adaptive Virtual Inertia for Grid Integration of Wind Energy Conversion System Based on Synchronverter Model." Electronics 10, no. 9: 1022.
The problem of the optimal operation of battery energy storage systems (BESSs) in AC grids is addressed in this paper from the point of view of multi-objective optimization. A nonlinear programming (NLP) model is presented to minimize the total emissions of contaminant gasses to the atmosphere and costs of daily energy losses simultaneously, considering the AC grid complete model. The BESSs are modeled with their linear relation between the state-of-charge and the active power injection/absorption. The Pareto front for the multi-objective optimization NLP model is reached through the general algebraic modeling system, i.e., GAMS, implementing the pondered optimization approach using weighting factors for each objective function. Numerical results in the IEEE 33-bus and IEEE 69-node test feeders demonstrate the multi-objective nature of this optimization problem and the multiple possibilities that allow the grid operators to carry out an efficient operation of their distribution networks when BESS and renewable energy resources are introduced.
Federico Molina-Martin; Oscar Montoya; Luis Grisales-Noreña; Jesus Hernández; Carlos Ramírez-Vanegas. Simultaneous Minimization of Energy Losses and Greenhouse Gas Emissions in AC Distribution Networks Using BESS. Electronics 2021, 10, 1002 .
AMA StyleFederico Molina-Martin, Oscar Montoya, Luis Grisales-Noreña, Jesus Hernández, Carlos Ramírez-Vanegas. Simultaneous Minimization of Energy Losses and Greenhouse Gas Emissions in AC Distribution Networks Using BESS. Electronics. 2021; 10 (9):1002.
Chicago/Turabian StyleFederico Molina-Martin; Oscar Montoya; Luis Grisales-Noreña; Jesus Hernández; Carlos Ramírez-Vanegas. 2021. "Simultaneous Minimization of Energy Losses and Greenhouse Gas Emissions in AC Distribution Networks Using BESS." Electronics 10, no. 9: 1002.