一个即时惯性估计和运行负担考虑低惯性功率系统的频率调节方法
Wanying Liu1, Yang Zheng1, Yijing Lv1
1Key Laboratory of Transients in Hydraulic Machinery, Ministry of Education, Wuhan University, Wuhan 430072, PR China.
ISA transactions
|October 11, 2023
概括
虚拟惯性 (VI) 增强了使用可变可再生能源的低惯性电力系统的频率调节. 这项研究提出了用于惯性估计的Elman神经网络和用于强大的频率控制的MIMO-MPC策略.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 整合可再生能源的整合
背景情况:
- 具有高可变可再生能源 (VRE) 透率的低惯性电力系统面临频率稳定性的挑战.
- 虚拟惯性 (VI) 为此类系统的频率调节提供了一个新的解决方案.
- 在多输入多输出 (MIMO) 系统中,协调VI与传统的初级和二级频率控制是复杂的.
研究的目的:
- 开发一个有效的频率调节策略,用于包含虚拟惯性功率系统.
- 为了应对在MIMO系统中时间变化的系统惯性和控制合的挑战.
- 在频率干扰期间增强系统的稳定性和性能.
主要方法:
- 一个带有死带方法的Elman神经网络 (ENN),用于准确的即时惯性估计.
- 一个基于Laguerre函数的频率变化率 (ROCOF) 约束了协作控制策略的MIMO-MPC.
- 重力搜索算法 (GSA) 用于基于性能和运营负载指数优化控制参数.
主要成果:
- 拟议的战略在三区域电力系统模拟中表现出稳健性.
- 证实了ROCOF约束在缓解频率偏差方面的有效性.
- 即时惯性估计方法和运营负担考虑改善了整体控制性能.
结论:
- 开发的频率调节战略有效地将虚拟惯性整合到电力系统中.
- 基于ENN的惯性估计和ROCOF受约束的MIMO-MPC的组合提供了一个强大的和高效的解决方案.
- 调整为GSA的控制器平衡了系统性能与VRE主导电网的运行约束.
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