基于ADP的分散的负载频率控制方案到多区域异步的马尔科夫跳跃电力系统与经验重播
IEEE transactions on cybernetics
|August 26, 2024
概括
本研究介绍了一种强大的去中心化负载频率控制 (LFC),用于面临干扰的电力系统. 一个自适应动态编程算法确保了系统稳定性和有效的干扰拒绝.
科学领域:
- 电力系统工程 电力系统工程
- 控制理论 控制理论
- 人工智能的人工智能
背景情况:
- 分散的负载频率控制 (LFC) 对于稳定的多区域电力系统至关重要.
- 系统面临来自外部干扰和随机变化的挑战,例如组件故障和负载变化.
研究的目的:
- 为多区域电力系统制定一个强大的去中心化LFC战略.
- 在解决游戏代数里卡提方程 (Game AREs) 中解决非线性合问题.
- 为具有马尔科夫跳转参数的系统设计控制器.
主要方法:
- 马尔科夫叠加技术用于建模系统组件矩阵.
- 一个改进的在线自适应动态编程 (ADP) 算法与经验重播技术 (ERT).
- 解决零和微分游戏问题,而无需先前了解系统动态.
主要成果:
- ADP算法有效地解决了游戏AREs中的非线性合困难.
- 该方法获得了最小的LFC和最大的干扰政策.
- 为马尔科夫跳转参数系统设计并验证了一种更安全的LFC控制器.
结论:
- 拟议的ADP算法证明了稳定性和趋同性.
- 开发的LFC方法对于具有干扰的多区域电力系统是有效的.
- 模拟结果证实了拟议设计的实际适用性和性能.
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