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The integration of renewable energy sources, especially wind energy, has been on the rise throughout the power system worldwide. Due to this relatively new introduction, the integration of wind energy is often not optimized. Moreover, owing to the technical constraints and transmission congestion of the power network, much wind energy that could have reached load centers has to be curtailed. Due to...
The approaches for the parametric synthesis of the automatic control system (ACS) using the genetic algorithm that performs an approximation of Pareto-optimal solutions set are suggested. As a result, two approaches to multi-criteria optimization of ACS were considered: (1) the optimization problem was considered to be three-criteria for equally important criteria, (2) the optimization problem was...
As the complexity of the ocean environment, shape of towed array changes with time and space, so the accurate measurement shape of towed array is the key to improve the performance of signal processing. To solve this problem this paper proposes an estimation method based on genetic algorithm, firstly, established the objective function according to a known distance and azimuth of the target by beam...
A novel maglev wind yaw system (MWYS) with two groups of suspension windings is proposed to replace the traditional gear-driven yaw system of horizontal-axis wind turbines. In order to overcome the power difference between these two groups of suspension windings which could affect seriously the suspension stability, the windings optimization is carried out to decrease this difference. First, the dynamic...
As the advantages of good convergence and less computing time in estimating multiple parameters, genetic algorithm (GA) has been applied to estimate the parameters of the multiple scattering centers. It is found that various objective functions (OF) selected in GA yields different estimation results. The performance comparison among different OFs are investigated in detail, based on which, an optimal...
This paper proposes an efficient methodology to optimally determine the best location and optimum size for Distributed Generators (DG), in a distribution network, while minimizing energy losses and improving voltage profile. The proposed methodology has been designed to consider variable demand and variable DG production scenarios, offering a set of optimum values for DG active power output and power...
This paper conducts a comparative study on the predicted operating characteristics of a series of optimally designed concentrated-winding, V-shaped magnet Interior Permanent Magnet Synchronous Motors (IPMSMs). A local optimizer (nonlinear Simplex) and a global optimizer (Genetic Algorithm (GA)) are separately used to determine the dimensions of each optimized machine based on three distinctive Objective...
In This paper, an improved adaptive genetic algorithm is presented for the design optimization on Permanent magnet synchronous motor(PMSM), which can availably reduce the iterative time and simplify the magnetic circuit calculation during optimization designing. To obtain higher computation speed, C++ language is applied to develop both the basic electromagnetic calculation program and optimization...
The location problem of logistics center is the key process of logistics distribution, in order to improve the accuracy of the location of logistics center, this paper according to the parallelism and characteristics of global optimization of genetic algorithm. A method based on genetic algorithm is proposed to solve the problem of logistics center location, and set up with the minimum total cost...
This paper presents the study of a vacuum interrupter (VI) of 12kV, in terms of optimization of the electrical field in order to obtain a more uniform distribution inside the VI chamber. The proposed method consists in combining the construction and simulation programs in a Solid Works module, respectively ComsolMultiphisics, with the optimization module that includes the programming environment Matlab...
Vibration control of flexible structures has always been one of the most important issues and Among variant available control methods, active vibration control using piezoelectric sensors and actuators has become popular due to its high efficiency and flexibility for designing a control system. The main concern in designing a control system with piezoelectric patches is finding best position for patches...
This article presents the digital twin concept, which is an augmented manufacturing project created in close collaboration by SOVA Digital and the Institute of Automation, Measurement and Applied Informatics (ÚAMAI), of the Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava with the support of SIEMENS. The project is a technological concept focusing on the continuous...
This paper presents the results of an optimisation analysis aimed at exploring the geographical allocation of solar PV generation capacity in the context of grid support considerations such as average daily yield and variability, with particular focus on the full year scenario compared to the high demand season. All problem cases were evaluated using a combination of genetic algorithm (GA) and pattern...
Most published results show that power reduction of the finite-state machines (FSMs) is achieved by decomposition. In order to achieve a low power FSM implementation, a Genetic Fuzzy c-mean clustering-based decomposition method, called GFCM-D, is proposed for FSM partition in this study. GFCM-D used Fuzzy c-mean clustering (FCM) to partition a set of states of FSM into a collection of c fuzzy clusters,...
This paper presents the improved branched tendon mechanism by including additional design parameters to the original branched tendon design, and a kinematic design optimization technique for this mechanism using genetic algorithm. The significance of additional design parameters and the feature of improved branched tendon mechanism are also explained. Unlike traditional joint pulley-tendon mechanism...
The problem of make a proper cutting program can significantly affect enterprises performance on material usages and production costs. In this paper, the practical features in an actual production environment are analyzed with regard to material stick length, holes distance, edges distance, cutting scrap, cutting direction, scrap usage, etc. Particularly, considering the standard stick shorter than...
The flexible variable-speed control system of rod pumping well is designed to increase the oil production speed and to reduce both the rod stress and motor energy consumption by changing the motor drive speed rapidly during a stroke cycle. This paper establishes a flexible variable-speed control model as well as the optimization algorithm for rod pumping well. The optimal motor speed profile is determined...
Support vector machine (SVM) now attracts increasing attention in gas classification due to its high performance towards small samples and nonlinearity problems of the dataset. Previously, the probable mismatch between the dataset and the training parameters determined by trial and error or grid search may hinder the exploration of the best result. In this paper, we propose a novel approach to estimate...
In this paper, we present a new method based on the genetic algorithm (GA) and the weighted sum method (WSM) for aligning RNA sequences. This new approach has been developed in two steps. First, we have developed a multi-objective optimization algorithm using three objective functions: Entropy, Weighted Fully Matched Column (WFMC), and the Base Pair Score (BPS) [1]. Subsequently, the WSM was used...
Green supplier selection and order allocation problem involves multi-criteria decisions. In this paper, the available suppliers are ranked based on selected green criteria by decision makers in the purchasing department using analytic hierarchy process (AHP). Then, genetic algorithm (GA), that uses real-coded representation chromosomes, is used to find the optimal solution for the multi-objective...
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