SQP与粒子群算法在1mw变电站优化中的比较分析

Rawia Chakroun, R. B. Ayed, N. Derbel
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引用次数: 0

摘要

本文简要介绍了一个实际的1mw光伏变电站。选择性谐波消除(SHE)[1],[2]策略提供更低的开关损耗和更高质量的输出波形。序贯二次规划(Sequential Quadratic Programming, SQP)方法通常用于求解高度非线性方程组的开关角,通过适当地构造目标函数最小化。这种方法的缺点是它非常依赖于对答案的初始猜测。为此,提出了一种基于粒子群算法的元启发式方法[3],[4]。与基于代数和数值的技术相比,粒子群方法的根本优点不仅在于它能够计算大范围的切换角度,而且还在于它能够减少对结果初始猜测的依赖。这项研究强调了一个简短的比较。研究结果表明,该方法在两种优化策略下都能有效地避免对电网中电流谐波的有害影响。目前的工作表明,PSO是一种很有前途的策略,用于调节三相电压源变换器的功能,以提高为电网提供的能量质量。
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A Comparative analysis between SQP and PSO for optimizing a one MW PV substation
A real-case one MW PV substation is briefly described in this paper. The Selective Harmonic Elimination (SHE) [1], [2] strategy for operational power converters provides lower switching losses and a higher-quality waveform at the output. By properly formulating an objective function (OF) to be minimized, the Sequential Quadratic Programming (SQP) approach is frequently used to obtain switching angles from a system of highly nonlinear equations. The disadvantage of this method is that it is extremely dependent on the initial guess of the answer. For that, a meta-heuristic approach based on the PSO algorithm [3], [4] is proposed. The fundamental benefit of the PSO approach over algebraical and numerically based techniques is not only its ability to compute a wide range of switching angles, but also its ability to reduce the dependence on the initial guess of the result. This study highlights a brief comparison. The obtained findings indicate the efficacy of the proposed SHE method with both optimization strategies, avoiding the harmful effect on the current harmonics rejected on the grid. The current work demonstrates that the PSO is a promising strategy for regulating the functioning of a three-phase voltage source converter in order to improve the quality of the energy provided for the grid.
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