Sine-Cosine Algorithm for OPF Analysis in Distribution Systems to Size Distributed Generators

Manrique, María Lourdes; Montoya, Oscar Danilo; Garrido, Victor; Grisales-Noreña, Luis Fernando; Gil-González, Walter

doi:10.1007/978-3-030-31019-6_3

Cited by 12 publications

(12 citation statements)

References 26 publications

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“…The method could be classified into the family of evolutionary algorithms, and its evolution is based on trigonometric functions and their combinations, which gives the name to the method [26]. Some of the most relevant works in the literature review are the following: the optimal power flow in distribution and transmission systems [27], parametric estimation in photovoltaic systems [26], minimization in nonlinear functions [28], and tuning of parameters in machine learning algorithms [29].…”

Section: Methodology For the Parametric Estimationmentioning

confidence: 99%

Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures

Bocanegra

Montoya

Molina

2021

DYNA

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In this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent the parametric estimation problem. This mathematical optimization model was developed by applying Kirchhoff’s laws to the equivalent electric circuit of the transformer. To solve the NLP model is employed the sine-cosine algorithm, which corresponds to a combinatorial optimization methodology from the family of metaheuristics that has the ability for finding good solutions with minimum computational requirements, easily implementable at any programming language. Numerical results show that the parametric estimation in the transformers using the proposed NLP model represents the electrical behavior of these devices adequately, considering different load scenarios. All the simulations were carried out using MATLAB software and compared with the GAMS optimization package.

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Section: Methodology For the Parametric Estimationmentioning

confidence: 99%

Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures

Bocanegra

Montoya

Molina

2021

DYNA

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“…The SCA works with a population that evolves through the solution spaces by using a random controlled procedure [21]. The initialization of the proposed optimization algorithm is presented as follows:…”

Section: B Initial Populationmentioning

confidence: 99%

Application of the Sine-Cosine Algorithm to the Optimal Design of a Closed Coil Helical Spring

Rodriguez-Cabal

Grisales-Noreña

Vanegas

et al. 2021

TESEA

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This paper proposes the application of the sinecosine algorithm (SCA) to the optimal design of a closed coil helical spring. The optimization problem addressed corresponds to the minimization of total spring volume subject to physical constraints that represents the closed coil helical spring such as maximum working load, shear stress, and minimum diameter requirements, among other. The resulting mathematical formulation is a complex nonlinear and non-convex optimization model that is typically addressed in literature with trial and error methods or heuristic algorithms. To solve this problem efficiently, the SCA is proposed in this research. This optimization algorithm belongs to the family of the metaheuristic optimization techniques, it works with controlled random processes guided by sine and cosine trigonometric functions, that allows exploring and exploiting the solution space in order to find the best solution to the optimization problem. By presenting as main advantage an easy implementation at any programming language using sequential quadratic programming; eliminating the need to uses specialized and costly software. Numerical results demonstrating that the proposes SCA allows reaching lower spring volume values in comparison with literature approaches, such as genetic algorithms, particle swarm optimization methods, among others. All the numerical simulations have been implemented in the MATLAB software.

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“…It should be noted that in these methods, the authors do not present an analysis of the inclusion of voltage-controlled nodes, which we proposed in our matricial reformulation. A new approach based on successive approximations was recently reported in [25]. This approach demonstrates the convergence of the recursive formulation for radial and meshed networks using the Banach fixed-point theorem.…”

Section: Literature Reviewmentioning

confidence: 99%

On the Matricial Formulation of Iterative Sweep Power Flow for Radial and Meshed Distribution Networks with Guarantee of Convergence

2020

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This paper presents a general formulation of the classical iterative-sweep power flow, which is widely known as the backward–forward method. This formulation is performed by a branch-to-node incidence matrix with the main advantage that this approach can be used with radial and meshed configurations. The convergence test is performed using the Banach fixed-point theorem while considering the dominant diagonal structure of the demand-to-demand admittance matrix. A numerical example is presented in tutorial form using the MATLAB interface, which aids beginners in understanding the basic concepts of power-flow programming in distribution system analysis. Two classical test feeders comprising 33 and 69 nodes are used to validate the proposed formulation in comparison with conventional methods such as the Gauss–Seidel and Newton–Raphson power-flow formulations.

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Sine-Cosine Algorithm for OPF Analysis in Distribution Systems to Size Distributed Generators

Cited by 12 publications

References 26 publications

Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures

Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures

Application of the Sine-Cosine Algorithm to the Optimal Design of a Closed Coil Helical Spring

On the Matricial Formulation of Iterative Sweep Power Flow for Radial and Meshed Distribution Networks with Guarantee of Convergence

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