系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (11): 3800-3806.doi: 10.12305/j.issn.1001-506X.2024.11.22

• 系统工程 • 上一篇    下一篇

基于NSGA-Ⅱ算法的局域野战微电网优化配置

叶炎峰, 明梦君, 雷洪涛   

  1. 国防科技大学系统工程学院, 湖南 长沙 410073
  • 收稿日期:2022-07-13 出版日期:2024-10-28 发布日期:2024-11-30
  • 通讯作者: 雷洪涛
  • 作者简介:叶炎峰 (1987—), 男, 硕士研究生, 主要研究方向为军事能源互联网
    明梦君 (1993—), 女, 博士研究生, 主要研究方向为复杂系统建模与优化
    雷洪涛 (1982—), 男, 副教授, 博士, 主要研究方向为运筹与管理、系统工程建模
  • 基金资助:
    国家自然科学基金面上项目(61973310);湖南省自然科学杰出青年基金(2022JJ10069)

Optimal configuration of local field microgrid based on NSGA-Ⅱ algorithm

Yanfeng YE, Mengjun MING, Hongtao LEI   

  1. College of Systems Engineering, National University of Defense Technology, Changsha 410037, China
  • Received:2022-07-13 Online:2024-10-28 Published:2024-11-30
  • Contact: Hongtao LEI

摘要:

为满足新时代局部军事行动中的电力保障需求, 提出一种基于分布式发电供应与发电车机动电能补充的新型局域野战微电网系统。通过分析任务需求、军事环境, 以及系统资源配置需求, 构建局域野战微电网优化配置模型。与一般民用微电网模型相比, 该模型着重考虑了电力供应及时性、能源保障稳定性、抗毁伤性等方面。针对所构建的模型, 基于非支配排序遗传算法Ⅱ (non-dominated sorting genetic algorithm-Ⅱ, NSGA-Ⅱ)框架设计了求解算法, 加入了精英保留机制及军事决策者偏好因素。实验结果表明, 局域野战微电网优化配置模型符合军事行动实际, 求解算法具有较好的快速搜索和全局寻优能力。

关键词: 局域野战, 微电网, 多目标, 进化算法

Abstract:

In order to meet the needs of power supply in local military operations in the new era, a new local field microgrid system based on distributed generation supply and power supplement of generator vehicles is proposed. Based on the analysis of mission requirements, military environment and system resource requirements, a local field microgrid optimal configuration model is established. Compared with the general civil microgrid model, the model considers the timeliness of power supply, the stability of energy supply and anti-damage. According to the construct model, the solution algorithm is designed based on non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) framework, and the elite reservation mechanism and military decision-maker's preference factor are added. Experimental results show that the optimal configuration model of local field micro-grid accords with the reality of military operations, and the solution algorithm has better ability of fast search and global optimization.

Key words: local field, microgrid, multi-objective, evolutionary algorithm

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