Genetic-convex model for dynamic reactive power compensation in distribution networks using D-STATCOMs
Oscar Danilo Montoya,Harold R. Chamorro,Lazaro Alvarado-Barrios,Walter Gil-González,C. Orozco-Henao +4 more
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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.Abstract:
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.read more
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Optimal Placement and Sizing of D-STATCOM in Radial and Meshed Distribution Networks Using a Discrete-Continuous Version of the Genetic Algorithm
Cristian Mateo Castiblanco-Pérez,David Esteban Toro-Rodríguez,Oscar Danilo Montoya,Diego Armando Giral-Ramírez +3 more
TL;DR: The proposed discrete-continuous version of the Chu–Beasley genetic algorithm solves the mixed-integer non-linear programming model that the classical power balance generates and minimizes the annual operating costs of the grid.
Journal ArticleDOI
Reduction of Annual Operational Costs in Power Systems through the Optimal Siting and Sizing of STATCOMs
Oscar Danilo Montoya,Jose Eduardo Fuentes,Francisco David Moya,Jose Angel Barrios,Harold R. Chamorro +4 more
TL;DR: The numerical results indicate the positive effect of the dynamic reactive power injections in the power systems on annual operating cost reduction and the solution of the proposed model is reached with the general algebraic modeling system optimization package.
Journal ArticleDOI
Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA
Luis Fernando Grisales-Noreña,Oscar Danilo Montoya,Ricardo Alberto Hincapié-Isaza,Mauricio Granada Echeverri,Alberto-Jesus Perea-Moreno +4 more
TL;DR: 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.
Journal ArticleDOI
Minimization of the distribution operating costs with D-STATCOMS: A mixed-integer conic model
TL;DR: In this article , a mixed-integer second-order cone programming (MI-SOCP) model is proposed to solve the problem of determining the optimal location and operation of distribution static synchronous compensators (D-STATCOMs) in power distribution networks.
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A Deep Neural Network as a Strategy for Optimal Sizing and Location of Reactive Compensation Considering Power Consumption Uncertainties
TL;DR: In this article , the authors proposed a methodology for the optimal location and sizing of reactive compensation in an electrical transmission system through a deep neural network (DNN) by considering the smallest cost for compensation.
References
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Reduction of Losses and Operating Costs in Distribution Networks Using a Genetic Algorithm and Mathematical Optimization
Fabio Edison Riaño,Jonathan Felipe Cruz,Oscar Danilo Montoya,Harold R. Chamorro,Lazaro Alvarado-Barrios +4 more
TL;DR: This study deals with the minimization of the operational and investment cost in the distribution and operation of the power flow considering the installation of fixed-step capacitor banks by applying the Chu and Beasley genetic algorithm.
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Efficient operative cost reduction in distribution grids considering the optimal placement and sizing of d-statcoms using a discrete-continuous vsa
TL;DR: Numerical results in two radial test feeders demonstrate that the proposed DCVSA can solve the mixed-integer nonlinear programming model (MINLP) model with best results when compared with the MINLP solvers available in the GAMS software.
Journal ArticleDOI
Smart Grid Architecture for Rural Distribution Networks: Application to a Spanish Pilot Network
Francesc Girbau-Llistuella,Francisco Díaz-González,Andreas Sumper,Ramon Gallart-Fernandez,Daniel Heredero-Peris +4 more
TL;DR: A novel architecture for rural distribution grids designed to modernize traditional rural networks into new Smart Grid ones and enables operators to use more effectively—in an automated and decentralized way—weak rural distribution systems, increasing the capability to integrate new distributed energy resources.
Proceedings ArticleDOI
A Novel Method for Optimal Placement of STATCOM in Distribution Networks Using Sensitivity Analysis by DIgSILENT Software
TL;DR: In this paper, a new method has been proposed to decide optimal placement and best sizing of static synchronous compensator (STATCOM), seeking the best place is performed using the sensitivity analysis and sizing of STATCOM is managed using the genetic algorithm.