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In this paper, a traditional genetic algorithm with an integer representation is developed to search suitable variable arrangements for decomposition problems into a Cooperative-Coevolution framework for large-scale constrained optimization problems. The function evaluation is based on the Variable Interaction Identification for Constrained Optimization Problems (VIIC), that detects interactions among...
Isolated grid (IG) usually has small inertia constant, and the primary frequency regulation ability of IG is limited. In addition, high penetration level of photovoltaic power plants (PV-PPS)integrated to IG deteriorate system inertial and primary frequency regulation ability. To ensure the stability of frequency, UC model considering dynamic frequency limit (DFL) is proposed in this paper, and PV-PPS...
In this work, three modifications are proposed to improve the performance of the Variable Interaction Identification for Constrained problems (VIIC), a technique to detect interacting variables in large scale constrained numerical optimization problems. The changes proposed are: (1) the optimization of a single variable arrangement (the original VIIC needs to find an arrangement of variables for the...
This paper will show how to handle modeling of vehicles to get efficient and good Sliding Mode Observers. A car model with 16 DoF is decomposed for partial state observation with SMO. This decomposition method may lead, in VSAS, to good estimates of different kind variables and inputs (subsystems states, environment and ground variables, interfaces variables, connections and constraint variables)...
Many object surfaces are composed of layers of different physical substances, known as layered surfaces. These surfaces, such as patinas, water colors, and wall paintings, have more complex optical properties than diffuse surfaces. Although the characteristics of layered surfaces, like layer opacity, mixture of colors, and color gradations, are significant, they are usually ignored in the analysis...
In this paper, we propose a general decomposition method for transition firing sequence problems for first order hybrid Petri nets. The optimal transition firing sequence problem for first-order hybrid Petri nets is formulated as a mixed integer programming problem. We propose a Lagrangian relaxation method for solving optimal transition firing sequence problems. The hybrid Petri net is decomposed...
The aim of this work is to analyze the chaotic behaviors in the fractional-order Chua and Chen systems via a time-domain approach. The objective is achieved using a decomposition method, which allows the solution of the fractional differential equations to be written in closed form. Specifically, by taking advantage of the capabilities given by time-domain analysis, the paper illustrates three remarkable...
For settle the divergence problem of ill-condition system, traditional power flow calculation in polar coordinates can be transformed into a nonlinear programming model. It is a convenient way to judge whether the general power flow equations have feasible solutions or not according to the value of target function. Getting the correction equations by Newton method, LDLT decomposition method is used...
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