Search Results - "modified multi-objective mayfly algorithm"

  • Showing 1 - 2 results of 2
Refine Results
  1. 1
    Cover Image

    基于改进多目标蜉蝣算法的配网电池储能系统最优选址定容 by 安东, 杨德宇, 武文丽, 蔡文超, 李赫, 杨博, 韩一鸣

    ISSN: 1674-3415
    Published: 内蒙古电力科学研究院,内蒙古呼和浩特 010020%昆明理工大学电力工程学院,云南昆明 650500 16.05.2022
    Published in 电力系统保护与控制 (16.05.2022)
    “…电池储能系统(BESSs)在配电网的选址定容是保证BESSs和配电网经济可靠运行的关键.基于此,提出了一种配电网BESSs最优选址定容方法.首先,采用C-均值聚类算法对全年的负荷曲线…”
    Get full text
    Journal Article
    Save to List
    Saved in:
  2. 2
    Cover Image

    Optimal Sizing and Placement of Electrical Energy Storage System in Distribution Network via MMOMA by Cai, Wantong, Yang, Zhengang, Zhuo, Yingjun, Zhou, Baorong

    Published: IEEE 28.07.2022
    “… fluctuation and load fluctuation of BESSs. In order to obtain the Pareto optimal solution set of decision variables such as BESSs, a modified multi-objective mayfly algorithm (MMOMA…”
    Get full text
    Conference Proceeding
    Save to List
    Saved in:

Search Tools: