基于正交表遗传算法的复合能源系统运行规划

S. Watanabe, S. Obara, M. Munetomo
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引用次数: 0

摘要

遗传算法分析能够灵活地响应复杂系统的运行规划。然而,对于大型系统,需要较长的分析时间,产生许多次优解,并得到能量平衡方程的不满意解。本研究的目的是在遗传算法中引入正交表,开发一种具有高精度多设计参数的复合能源系统规划运行的计算机算法。引入正交表来缩小考虑包括复合能系统优化运行的运行范围。分析结果表明,正交表遗传算法是对传统遗传算法优化方法的显著改进,可用于增加设计参数和提高分析精度。
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Operation planning of a compound energy system using orthogonal table-GA hybrid analyzing method
Analysis using GA is capable of responding flexibly to operational planning of a complex system. However, case of large system, requires lengthy analysis time, generates many suboptimal solution, and unsatisfactory solutions of energy balance equations are obtained. Objective of this study is to develop a computer algorithm for planning operation of compound energy system with many design parameters with a high accuracy by introducing orthogonal table in GA. Orthogonal table is introduced to reduce operation range that is considered to include optimal operation of compound energy system. By analysis results, orthogonal table-GA hybrid method is a significant improvement over optimization methods that employ to traditional GA, and can be utilized to increase of design parameters and improve of analysis accuracy.
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