改进了混沌的蝙蝠算法,用于为多机电系统的动力系统稳定器进行最佳协调调节
Mohammed Tadj1, Lakhdar Chaib1, Abdelghani Choucha1
1Energy and Materials Laboratory, University of Tamanghasset, Tamanghasset, Algeria.
Scientific reports
|July 2, 2024
概括
本研究介绍了基于混乱的新型蝙蝠算法 (CNBA) 以优化电力系统稳定器 (PSS),显著改善电网的动态稳定性. CNBA比标准的新型蝙蝠算法 (NBA) 更有效地提高了缓冲比率.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 计算智能是一种计算智能.
背景情况:
- 电力系统的非线性导致动态不稳定性和振荡.
- 传统的方法在不同的负载条件下对电力系统稳定器 (PSSs) 进行最佳调.
- 机电模式需要精确的s平面转移,以提高动态性能.
研究的目的:
- 提出一种创新的策略,使用基于混乱的新型蝙蝠算法 (CNBA) 进行最佳的PSS设计.
- 为了增强多机电动力系统中的机电振荡的动态稳定性和阻尼.
- 为了确定最佳的PSS位置和数量以及控制器收益.
主要方法:
- 在新型蝙蝠算法 (NBA) 中引入混乱映射,以创建 CNBA 来改进全球搜索.
- 优化PSS参数,针对低阻尼电机模式的阻尼比率.
- 使用CNBA和参与因子来确定PSS的位置和数量.
- 在互连的新英格兰/纽约电网上进行验证 (16个发电机,68辆公共汽车).
主要成果:
- CNBA实现了37%的最低缓冲比率,超过了NBA的31%.
- 自身价值分析和非线性模拟证实了CNBA的有效性.
- 基于CNBA的PSS在各种运行条件下显示了区域间和局部振荡的优异缓.
结论:
- 拟议的基于CNBA的PSS设计策略有效地提高了电力系统的动态性能.
- CNBA提供了一种强大而有效的方法来优化PSS参数和放置.
- 这种方法提供了出色的阻尼能力,对电网稳定性和可靠性至关重要.
相关概念视频
Multimachine Stability
150
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
150
Load-frequency control
150
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
150
Simplified Synchronous Machine Model
209
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
209
Turbine-Governor Control
201
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
201
Fast Decoupled and DC Powerflow
183
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
183
The Power Flow Problem and Solution
195
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the...
195


