基于BCC算法的多机系统PSS参数优化设计

Optimal Design of Multi-machine Power System Stabilizer Parameters Based on Bacterial Colony Chemotaxis Algorithm

电力系统稳定器(Power System Stabilizer,PSS)通过调节励磁电流进而调整发电机内电势,以实现对有功低频振荡的抑制。由于系统中除了PSS控制器外,还存在各种FACTS元件和储能装置,各控制器参数间需要协调控制以提高系统阻尼。为此,对PSS与储能装置间的协调机制进行了分析,确定了相应的协调控制策略,同时建立了相应的参数优化模型,利用细菌群体趋药性(BCC)算法对PSS和储能控制器进行了参数优化。最后基于电力系统分析综合程序(PSASP),以4机2区域系统模型为例,搭建相关控制器模型,对协调优化方法进行了验证,特征值分析及时域仿真结果表明,本文所提优化策略能够提高系统阻尼,有效抑制低频振荡。

The generator electrical potential is adjusted by exciting current that can be controlled by power system stabilizer （PSS） so as to suppress active power low-frequency oscillations. Since there are various flexible alternative current transmission system （FACTS） devices and energy storage devices in addition to PSS controllers in power system, the parameters of these controllers should be optimized coordinately to improve power system damping. For this reason, the coordination mechanism among the parameters of PSS, FACTS devices and energy storage devices is analyzed, then, the coordination strategy is determined, and the optimization model is established. To solve the model, the bacterial colony chemotaxis （BCC） algorithm is deployed to gain the optimal parameters of these controllers. To verify the effectiveness of the proposed method, the four-machine two-area power system is built in power system analysis synthesized program （PSASP）, and the tests are performed based on the model. The results show that the proposed method can improve the damping effectively and is useful to suppress the low frequency oscillations.