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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TLDR
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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Optimal capacitor placement in radial distribution systems using flower pollination algorithm
TL;DR: A comparison of FPA's results with those of the analytical method, fuzzy real coded genetic algorithm, two stage fuzzy approach and teaching learning based optimization algorithms shows that FPA is a highly suitable optimization approach for solving capacitor placement problems.
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Energy Savings Using D-STATCOM Placement in Radial Distribution System
Atma Ram Gupta,Ashwani Kumar +1 more
TL;DR: The proposed method is tested for D-STATCOM allocation in IEEE 33-bus radial distribution systems and results show the considerable reduction in losses and improvement in voltage profile.
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On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage
TL;DR: In this paper, the efficiency comparison between AC and DC distribution networks that can provide electricity to rural and urban areas from the point of view of grid energy losses and greenhouse gas emissions impact is analyzed via optimal power flow analysis by adding voltage regulation and devices capabilities sources in the mathematical formulation.
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Dynamic active and reactive power compensation in distribution networks with batteries: A day-ahead economic dispatch approach
TL;DR: This proposal contains the active and reactive power capabilities of the voltage source converters that interface with the BESS independently, which implies that the Besss have the possibility to work as dynamic energy compensators over all the four quadrants.
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Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks
TL;DR: Developing measures are necessary that would ensure local reactive and harmonic compensation in case an energy quality problem happens in the low voltage distribution grid to better integrate the use of renewable energy resources into the grid.