多个分布式光伏电站在资源聚合和数据通信拥堵下参与主动电力支持
IEEE transactions on cybernetics
|October 24, 2025
概括
本研究介绍了一种主动电力支持 (APS) 策略,用于管理低碳电网中波动的光伏发电. 该方法提高了光伏预测的准确性,并优化了网络路径,以确保稳定的电源供应.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
背景情况:
- 将光伏 (PV) 等新能源融入配电网络对于低碳运营至关重要.
- 随机的光伏发电和增加的数据流量导致电力波动,网络拥堵和通信干扰,挑战供需平衡.
研究的目的:
- 制定一个主动电力支持 (APS) 战略,以应对光伏集成到配电网络所带来的挑战.
- 提高低碳电网供电的可靠性和稳定性.
主要方法:
- 一种基于突变的自适应生成预测算法,具有多极端学习机制 (ELM),用于优化光伏生成预测.
- 一种需求驱动的路径优化方法,以优先考虑关键数据传输和减轻网络拥堵.
- 一个使用多因素匹配和基于滑动模式控制器 (SMC) 的虚拟领导者遵循共识算法的等级控制策略,以实现最佳的光伏控制和干扰抑制.
主要成果:
- 与现有方法相比,减少了至少10.1%的光伏发电预测误差.
- 通过根据数据重要性和服务需求调整传输路径来缓解网络拥堵.
- 在1秒内抑制通信干扰,确保有效的APS.
结论:
- 拟议的APS战略有效地管理了分布网络中的光伏集成挑战.
- 该方法提高了预测准确性,网络效率和通信稳定性.
- 通过增强的电网控制和管理,实现可靠的低碳运行.
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