解决风力发电不确定性的最佳功率流量,使用混合自适应差异演变的混合动力
Harish Pulluri1, Tellapati Anuradha Devi2, Narsimha Reddy Kuppireddy3
1Department of Electrical and Electronics Engineering, School of Engineering, Anurag University, Hyderabad, 500088, Telangana, India.
Scientific reports
|July 19, 2025
概括
本研究介绍了一种增强的自适应差异演变方法 (ESDE-MC),用于在风能集成的电网中实现最佳功率流动. 该方法有效地降低成本,提高系统可靠性.
科学领域:
- 电气工程 电气工程
- 电力系统分析 分析 分析
- 整合可再生能源的整合
背景情况:
- 最佳功率流 (OPF) 对于高效的电网运行至关重要.
- 整合风力发电由于其随机性质而带来挑战.
- 精确的风力发电成本建模,包括储备和罚款成本是必不可少的.
研究的目的:
- 为集成风力发电的电气系统开发先进的OPF解决方案.
- 提出一种带有混合交叉 (ESDE-MC) 的增强自适应差异演化方法.
- 为了准确地建模风力发电成本,考虑风速变化和储备/罚款因素.
主要方法:
- 采用了一个WRIG模型用于风能发电.
- 开发了一个WRIG反应功率 (Q) - 电压 (V) 配方,集成到电源流中.
- 应用ESDE-MC方法来解决OPF问题,最大限度地降低发电成本.
主要成果:
- 通过ESDE-MC方法实现了IEEE 57总线和IEEE 30总线系统的卓越成本最小化.
- 对于IEEE 57总线系统,ESDE-MC的成本为2788.69美元/小时,超过了现有方法.
- 该方法表明,与文献相比,减少了计算时间,并改善了最佳值.
结论:
- 拟议的ESDE-MC方法对OPF具有风能集成的风力发电非常有效.
- 该方法成功地将发电成本降至最低,同时考虑到风能不确定性.
- 克鲁斯卡尔-瓦利斯试验证实了ESDE-MC方法的统计学意义和有效性.
关键词:
自己的矢量交叉交叉.克鲁斯卡尔 - 瓦利斯试验混合交叉车混合交叉车最佳的功率流量是最佳的.罚款费用 罚款费用 罚款费用反应功率的反应功率.储备成本 储备成本 储备成本自适应的差异性进化.风力发电是风力发电的重要组成部分.伤口旋转器的感应发生器更多相关视频
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