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With sustained growth of intermittent power supplies connected to grid, the randomness and volatility of intermittent power supplies will bring new challenges to power system optimization dispatch. For dealing with the uncertainty of large-scale intermittent power supply, this paper introduces robust optimization theory into optimization dispatch for hybrid wind/photovoltaic/hydro/thermal power systems...
Without considering the membership feature of each sampling point, both the local fuzzy recursive least-squares (FRLS) and the global FRLS algorithm cannot get an ideal online estimation precision of a Takagi-Sugeno (TS) fuzzy model. This paper proposes a novel mixed FRLS (MFRLS) algorithm for solving the problem. It dynamically makes a multiobjective cost function by weighting the local estimation...
Reconstructing meshes from 3D medical images is an important but complicated task, which provides a fundamental data structure for bio-medical applications. In this paper, a novel and easily implemental solution is proposed. Instead of following the popular methods, we sample on the medical images with centroidal Voronoi tessellations, and then build the Delaunay mesh from the sampled points directly...
The convergence and local research ability of genetic algorithm is a well concerned research field in recent years. New evolution law of species is introduced in the paper, and based on the new evolution law, compulsive operator was introduced and a new genetic algorithm - compulsive genetic algorithm (CGA) was proposed to improve the convergence of GA. CGA takes advantage of the fitness of current...
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