基于海洋掠食者算法的最佳PI控制器用于LVRT 增强联网光伏系统的容量
Hazem Hassan Ellithy1, Hany M Hasanien1,2, Mohammed Alharbi3
1Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt.
Biomimetics (Basel, Switzerland)
|February 23, 2024
概括
海洋捕食者算法优化了光伏 (PV) 系统的比例整合 (PI) 控制器,在电压下降期间增强了电网稳定性. 这提高了低压通车 (LVRT) 的性能,这对于可再生能源的整合至关重要.
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
- 控制系统 控制系统
背景情况:
- 太阳能 (PV) 系统与电网的整合正在增加,需要强有力的电网稳定性措施.
- 低压通行 (LVRT) 对于光伏系统来说至关重要,在像下垂这样的电压干扰期间保持电网稳定性.
- 比例整合 (PI) 控制器是管理光伏系统响应的标准解决方案,但它们的最佳调具有挑战性.
研究的目的:
- 提出一种新的海洋捕食者算法 (MPA),用于优化光伏逆变器中的PI控制器参数.
- 通过改进的逆变器控制,提高光伏系统的低压通行能力 (LVRT).
- 评估调整到MPA的PI控制器在减轻超标,不足,定位时间和稳定状态错误方面的有效性.
主要方法:
- 使用海洋捕食者算法 (MPA) 开发了一种独特的算法,以优化PI控制器的健身功能.
- 专注于逆变器控制策略,以改善电网干扰期间的系统性能.
- 在三相线对地面 (3L-G) 故障场景下测试了拟议的方法.
主要成果:
- 与灰狼优化 (GWO) 和粒子优化 (PSO) 相比,MPA优化的PI控制器表现出更高的性能.
- 与PSO和GWO相比,实现了14%至40%的DC-Link电压和主动功率超标降低.
- MPA导致沉时间更快,比PSO和GWO快0.76到0.95秒.
结论:
- 海洋捕食者算法为调整PI控制器提供了一种有效的方法,以增强光伏系统LVRT.
- 优化的PI控制器显著改善了系统响应特性,包括超额冲击,低额冲击和结算时间.
- 基于MPA的方法为提高可再生能源整合的稳定性和可靠性提供了有希望的解决方案.
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