新型混沌模拟退火控制电压总谐波畸变

S. Ghadami, M. Moghiman
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引用次数: 1

摘要

本文提出了一种新的模拟退火算法来控制电压总谐波失真。采用基于自组织技术的修正群数据处理方法(RGMDH)识别了电压谐波与THDV之间的非线性关系。采用一种新的混沌模拟退火算法(NCSA)来最小化THDV。SA算法接受的高能量解的概率为min (1, exp (-DeltaE/T))。为了避免浪费时间的指数计算,该算法引入了一个新的接受准则,该准则使用混沌结构并允许有效的状态转换。确定合适的邻域范围是SA算法的主要问题。因此,为了充分有效地搜索邻域,采用了一种将混沌映射与高斯分布相结合的邻域选择方法。试验数据验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control of Total Harmonic Distortion of Voltage with New Chaotic Simulated Annealing
This paper proposes a method to control the total harmonic distortion of voltage (THDV) with a new simulated annealing algorithm. The non-linear relationship between voltage harmonics and the THDV is identified by using the revised group method of data handling (RGMDH) based on the self-organization technique. A new chaotic simulated annealing algorithm (NCSA) is applied to minimize the THDV. The SA algorithm accepts higher energy solutions with probability of min (1, exp (-DeltaE/T)). To evade time wasting exponential calculations, the proposed algorithm introduces a new acceptance criterion that uses a chaotic structure and allows efficient state transitions. Determination of the appropriate neighborhood range is a main concern in SA algorithm. Therefore, in order to search the neighborhood sufficiently and efficiently, a different approach has been taken toward the neighbor selection process combining chaotic maps and Gaussian distribution. The effectiveness of the proposed method is demonstrated by test data.
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