基于改进的遗传算法进行的电网配电变压器的能源消耗分析
Yubin Lin1, Jiyu Li1, Xiaofei Ruan1
1Department of Evaluation Center, Economic and Technological Research Institute of State Grid Fujian Electric Power Co., Ltd., Fuzhou, Fujian, China.
PeerJ. Computer science
|December 11, 2023
概括
这项研究优化了电网中的变压器能量使用,使用动态负载平衡的遗传算法. 该方法可以减少11.81%的能源消耗和27%的监控时间.
科学领域:
- 电气工程 电气工程
- 电力系统 电力系统
- 优化算法 优化算法
背景情况:
- 电力利用量的增加需要提高动力设备的效率和可靠性.
- 变压器网络的负载分配不均会增加能源消耗和故障风险.
研究的目的:
- 优化电力传输网中的变压器能量利用.
- 根据运行状态,根据变压器之间动态重新分配负载.
主要方法:
- 提出一种基于遗传算法的方法来优化负载.
- 使用运行状态监控动态重新分配变压器负载.
- 试验三个不同的方法来提高能源效率.
主要成果:
- 基因算法方法可以更快地实现最佳功率水平.
- 在变压器运行期间的总能耗减少.
- 监控时间减少了27%,能源消耗减少了11.81%.
结论:
- 遗传算法为优化变压器能量使用提供了有效的解决方案.
- 拟议的方法提高了电网对电力需求波动的响应能力.
- 遗传算法在电力设备管理和能源优化方面有潜在的应用.
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