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Allocation of real power generation based on computing over all generation cost: an approach of Salp Swarm Algorithm

Devarapalli Ramesh, Sinha Nikhil Kumar, Rao Bathina Venkateswara, Knypiński Łukasz, Lakshmi Naraharisetti Jaya Naga, García Márquez Fausto Pedro

Archives of Electrical Engineering

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2021

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Vol. 70, nr 2

337--349

EN

Economic Load Dispatch (ELD) is utilized in finding the optimal combination of the real power generation that minimizes total generation cost, yet satisfying all equality and inequality constraints. It plays a significant role in planning and operating power systems with several generating stations. For simplicity, the cost function of each generating unit has been approximated by a single quadratic function. ELD is a subproblem of unit commitment and a nonlinear optimization problem. Many soft computing optimization methods have been developed in the recent past to solve ELD problems. In this paper, the most recently developed population-based optimization called the Salp Swarm Algorithm (SSA) has been utilized to solve the ELD problem. The results for the ELD problem have been verified by applying it to a standard 6-generator system with and without due consideration of transmission losses. The finally obtained results using the SSA are compared to that with the Particle Swarm Optimization (PSO) algorithm. It has been observed that the obtained results using the SSA are quite encouraging.

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Monitoring and control of energy management system for fuel cell hybrid in electrical vehicle using fuzzy approach

Tifour Benali, Boukhnifer Moussa, Hafaifa Ahmed, Tanougast Camel

Diagnostyka

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2020

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Vol. 21, No. 3

15--29

EN

Recently, the reduction of fuels consumption is a global challenge, in particular for significant investments in the automotive sector, in order to optimize and control the parameters involved for the partial or total electrification of vehicles. Thereby, the energy management system remains the axis of progress for the development of fuel cell hybrid electric vehicles. The fuzzy controller has been widely adopted for energy monitoring, where the determination of its parameters is still challenging. In this work, this problem is investigated through a secondary development of a fuzzy energy monitoring system based on the Advisor platform and particle swarm optimization. The latter is used to determine, for different driving conditions, the best parameters that increase the fuel economy and reduce the battery energy use. As a result, five tuned fuzzy energy monitoring system models with five sets of parameters are obtained. Evaluation results confirm the effectiveness of this strategy, they also show slight differences between them in terms of fuel economy, battery state of charge variations, and overall system efficiency. However, the fuzzy energy monitoring system tuned under multiple conditions is the only one that can guarantee the minimum of the state of charge variations, no matter the driving conditions.

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Study on forward and inversion modeling of array laterolog logging in a horizontal/highly deviated well

Zhu Peng, Li Zhiqiang, Chen Ming, Dong Yixin

Acta Geophysica

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2019

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Vol. 67, no. 5

1307--1318

EN

Electric feld synthesis was carried out using the multi-feld superposition method according to the working principle of the array laterolog electrode system. The feld distribution of each subfeld was simulated with the 3D finite element method, and the laterolog response of the array was obtained using the linear superposition principle of electric feld. The detection depth and thin layer response at diferent angles of the array laterolog were analyzed. The forward response calculation shows that the radial detection depth of the array laterolog is smaller than the deep laterolog detection depth. When the inclination angle of the well is less than 15°, the logging response of the array laterolog is less afected by the well inclination, and the well inclination correction need not be performed. The logging response values of highly deviated wells with inclination angles exceeding 60° and horizontal wells are quite diferent from those of vertical wells; thus, well deviation correction must be performed. To improve the stability of array laterolog logging inversion using the accurate forward response, a Newton–singular value decomposition method based on particle swarm optimization is proposed to realize inversion of array laterolog logging, and the stability and reliability of logging inversion are greatly improved. Thus, application of the theoretical model and actual data processing and analysis show that the proposed method can efectively and accurately eliminate the infuence of a complex logging environment and obtain real formation parameters.

4

Wizualizacja dynamiki roju cząstek z wykorzystaniem języka VRML

Gajer M.

Przegląd Elektrotechniczny

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2011

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R. 87, nr 11

20-24

PL

W artykule zaproponowano wykorzystanie języka VRML (Virtual Reality Modeling Language) w celu wizualizacji zjawisk związanych z dynamiką roju cząstek. Obecnie algorytmy rojowe są powszechnie wykorzystywane w celu poszukiwania rozwiązań wielu trudnych problemów optymalizacyjnych. Innym obszarem zastosowań algorytmów rojowych jest wizualizacja przebiegu złożonych reakcji chemicznych prowadzących do powstania charakterystycznych wzorców czasoprzestrzennych. W artykule zaproponowano nowy algorytm opisujący zachowanie się roju cząstek. Skuteczność rozważanego algorytmu została przeanalizowana na podstawie trójwymiarowych wizualizacji zaprogramowanych w języku VRML.

EN

In the paper, we propose an implementation of the Virtual Reality Modeling Language (VRML) for the purpose of visualization of phenomena related to particle swarm dynamics. Nowadays, particle swarm algorithms are commonly used in order to find solutions to numerous difficult optimization problems. Another area of implementation of particle swarm algorithms is visualization of compound chemical reactions that lead to the emergence of characteristic spatiotemporal patterns. In the article, we propose a new algorithm that describes the behavior of a particle swarm. The efficiency of the algorithm was analyzed taking an example of three-dimensional visualizations that were programmed in VRML.