多目的电动汽车的不确定性管理 综合最佳功率流量基于可再生能源电力系统的可再生热水调度,以实现环境可持续性
Susanta Dutta1, Siddhartha Ghosh1, Tushnik Sarkar1
1Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, India.
Scientific reports
|August 8, 2025
概括
这项研究引入了一种新的优化方法,QOSCA,用于电力系统. 它有效地降低了成本,排放和功率损失,同时在整合可再生能源时提高了电压稳定性.
科学领域:
- 电气工程 电气工程
- 优化理论 优化理论
- 可再生能源系统可再生能源系统
背景情况:
- 电力系统在经济调度和最佳电力流量方面面临挑战,特别是随着可再生能源集成的增加.
- 现有的优化方法可能难以平衡全球解决方案的勘探和开发.
研究的目的:
- 为了确定合并热能经济调度问题的最佳功率流量.
- 整合可再生能源 (风能-太阳能-电能) 以降低成本,排放,主动功率损失,总电压偏差,并提高电压稳定性.
- 评估一个新的优化算法,以评估它的有效性和稳定性.
主要方法:
- 拟议的准对立的正弦-正弦算法 (QOSCA) 是通过将准对立的基于学习嵌入到正弦-正弦算法来开发的.
- QOSCA适用于IEEE 57总线和IEEE 118总线电源网络,用于单个和多个目标的优化.
- 统计分析,包括ANOVA测试和盒子图,用于评估QOSCA方法的稳定性.
主要成果:
- 风能-太阳能-电动汽车与QOSCA的整合将发电成本降低21%,排放量降低17.5%,活动功率损失高达2.59%.
- 使用QOSCA的多目标优化导致总电压偏差减少0.37%,电压稳定性指数减少0.24%.
- 与传统的优化技术相比,QOSCA方法在计算效率上有24%的改进.
结论:
- QOSCA算法是解决热电经济调度和最佳功率流的问题的一种强大而有效的方法.
- 将可再生能源与拟议方法相结合,可显著提高电力系统的性能和稳定性.
- 对于复杂的电力系统优化,QOSCA提供了一种卓越的方法,通过更高的计算速度实现更好的结果.
关键词:
这是一个ANOVA,一个ANOVA.综合热电经济调度 (CHPED) 是一个电动汽车 (EV) 是一种电动汽车.水力发电 (HP) 是一种水力发电.这是IEEE-57总线.最佳功率下一个 (OPF)准对立的正弦共弦算法 (QOSCA)可再生能源 (RES) 是一种可再生能源.太阳能发电 (SP) 太阳能发电 (SP) 是一个风力发电 (WP) 风力发电 (WP) 是一种风力发电.更多相关视频
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