使用移动应急发电机提高电网弹性的一种时间合的多目标分布强大的机会受限制的框架
D Ashokaraju1, M L Ramamoorthy2, Deepa Simon3
1Department of Electrical and Electronics Engineering, Government College of Engineering, Salem, India.
Scientific reports
|January 25, 2026
概括
本研究介绍了使用移动应急发电机 (MEG) 恢复电网的强大框架. 它优化了成本和弹性,在停电期间显著减少未使用的能源.
科学领域:
- 电气工程 电气工程
- 运营研究 运营研究
- 优化优化 优化优化
背景情况:
- 电网面临越来越多的恶劣天气和攻击的威胁,需要有弹性的恢复策略.
- 现有的方法往往缺乏对移动资源的物流约束和不确定性量化进行全面整合.
研究的目的:
- 使用移动应急发电机 (MEGs) 开发一个统一的框架,用于弹性电网恢复.
- 为了优化恢复成本和不确定性下的电网弹性之间的权衡.
主要方法:
- 开发了一个时间结合的,多目标的,分布强大的,机会受限的 (MODRCC) 框架.
- 该模型整合了MEG物流,岛屿可行的功率流,以及不确定性的瓦斯斯坦模糊性.
- 一个混合整数二阶形编程 (MISOCP) 公式是使用NSGA-II进化算法解决的.
主要成果:
- 与基线方法相比,拟议的MODRCC框架将预期未使用的能量 (EUE) 减少了14-20%.
- 观察到EUE的显著改善,例如,IEEE-118的情况下降了54%,成本增加不大.
- 计算框架证明了对大规模电网恢复问题的高效可扩展性.
结论:
- 通过明确地将移动物流与分布性强大的优化相结合,可以提供可靠的运营和成本意识的恢复时间表.
- 这种方法适合在易受灾害影响的地区提高电网弹性.
- 瓦斯斯坦规范化有效地促使成本和弹性之间的平滑,凸起的权衡.
关键词:
偶然的限制 偶然的限制这是一个DC-OPF.在分布上强大的优化优化.电网的弹性 电网的弹性这是一个MISOCP.移动发电机是移动发电机.在NSGA-II中,NSGA-II是最重要的.华斯斯坦的模两可.更多相关视频
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