Application of MOEA/D to a Trade-Off Problem Between Maximum Power Point and Stability
Application of MOEA/D to a Trade-Off Problem Between Maximum Power Point and Stability
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DOI：
10.1109/cec.2019.8790043
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
Tomoyuki Togawa;Yusuke Kunii;S. Yasukawa;Toshimichi Saito
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文献类型：
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作者：
Tomoyuki Togawa;Yusuke Kunii;S. Yasukawa;Toshimichi Saito
研究了一种多目标进化算法在具有光伏输入的开关电源变换器中的权衡问题中的应用。考虑了变流器控制参数两个目标函数的权衡问题。第一个函数表示从输入中提取最大平均功率。第二个函数表示瞬时输入功率周期轨道的稳定性。这些都是实现高效低碳可再生能源供应的关键问题。通过对功率变换器的分段线性建模，准确地描述了这两个目标函数。为了分析双目标问题，我们使用了一种简单的多目标进化算法，该算法采用了Tchebycheff分解方法和交叉算子BLX-α。应用该算法，得到了最大功率点与稳定性权衡所对应的帕累托前沿。研究结果为实现智慧城市时代的可持续能源供应提供了基础信息。
This paper studies application of a multi-objective evolutionary algorithm to a trade-off problem in a switching power converter with photovoltaic input. The trade-off problem is considered in two objective functions of control parameters of the converter. The first function represents extraction of the maximum average power from the input. The second function represents stability of the periodic orbit of instantaneous input power. These are key problems to realize efficient low carbon and renewable energy supply. Using a piecewise linear modeling of the power converter, the two objective functions are described exactly. In order to analyze the two-objective problem, we use a simple multi-objective evolutionary algorithm with the Tchebycheff decomposition approach and the crossover operator BLX-α. Applying the algorithm, we have obtained the Pareto front corresponding to the trade-off between the maximum power point and stability. The result gives basic information to realize sustainable energy supply in the smart city era.