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Applied Mathematics Information

ISSN Print:2707-4722
ISSN Online:2707-4730
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小生境技术在解决电力系统多目标优化的解集非均匀问题中的应用

Application of niche technology in solving the non- uniform solution set problem of multi-objective optimization of power system

Applied Mathematics Information / 2020,2(1):19-29 / 2020-04-27 look2455 look4027
  • Authors: 王令贤     
  • Information:
    华北水利水电大学,郑州
  • Keywords: 多目标优化;非均匀分布;排挤因子
  • Multi-objective optimization; Non-uniform distribution; Crowd out factor
  • Abstract: 研究电力系统自动控制的准确性。电力系统的供电输出需要满足多条 线路目标的最优状态输出,即在电力系统的自动控制中就存在多目标优化问题, 并且实际的电力系统输出线路需电量不均衡,使得多目标优化的解集存在非均 匀分布的情况,造成电力系统稳定性和可靠性受到影响。传统的多目标优化算 法不能有效处理解集非均匀分布的问题。为了提高优化解集接近真实解的程度, 提出一种小生境网格进化算法来解决电力系统中的多目标优化解集非均匀问题。 采用小生境技术在算法中设置排挤因子,利用个体间的进化排挤作用形成小的 个体环境,可维持个体解集的分布多样性。实验表明,改进方法能够有效解决 电力系统多目标优化的解集非均匀问题,保证了电力系统自动控制的准确性。
  • Research accurate control of power system. Power supply output needs to meet multiple line target optimum, and electric power system automatic control need multi-objective optimization. This paper put forward a power system of multi- objective optimization algorithm based on small habitat grid evolution. It sets aside factor in this algorithm and maintains the diversity of parameters. The experiment results show that the algorithm can improve the accuracy of control.
  • DOI: https://doi.org/10.35534/ami.0201004c
  • Cite: 王令贤.小生境技术在解决电力系统多目标优化的解集非均匀问题中的应用[J].应用数学资讯,2020,2(1):19-29.
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