Artificial Intelligence-Based Power System Stabilizers for Frequency Stability Enhancement in Multi-Machine Power Systems

作     者：Sabo, Aliyu Wahab, Noor Izzri Abdul Othman, Mohammad Lutfi Jaffar, Mai Zurwatul Ahlam Binti Mohd Acikgoz, Hakan Nafisi, Hamed Shahinzadeh, Hossein 

作者机构：Univ Putra Malaysia UPM Dept Elect & Elect Engn Adv Lightning Power & Energy Res ALPER Serdang 43400 Selangor Malaysia Univ Putra Malaysia UPM Fac Sci Dept Math Serdang 43400 Selangor Malaysia Gaziantep Islam Sci & Technol Univ Fac Engn & Nat Sci Dept Elect Elect Engn TR-27010 Gaziantep Turkey Technol Univ Dublin TU Dublin Sch Elect & Elect Engn Dublin D07 EWV4 7 Ireland Amirkabir Univ Technol Tehran Polytech Dept Elect Engn Tehran *** Iran 

出 版 物：《IEEE ACCESS》 (IEEE Access)

年 卷 期：2021年第9卷

页      面：166095-166116页

核心收录：

基　　金：Geran Putra Berimpak (GPB)-UPM  University Putra Malaysia  Selangor  Malaysia 

主　　题：Power system stability Oscillators Damping Fluctuations Generators Optimization Load flow Lowfrequency oscillations power systemstabilizers farmland fertility algorithm interline power flow controller neuro-fuzzy controller 

摘      要：Low frequency oscillations (LFOs) occur in a system of interconnected generators connected by weak interconnection. A power system stabilizer (PSS) is commonly used to improve the capacity of the power system dampening. Under a variety of operating conditions, traditional PSSs fail to deliver superior damping. To address this issue, a Farmland Fertility Algorithm (FFA-PSSs controller) was used to solve an optimization problem for optimal design of PSSs system parameters, and its performance efficiency was compared to GA and PSO-based PSSs controllers. In addition to PSS, flexible current transmission (FACTS) devices are widely used. PSSs controllers and FACTS devices are frequently constructed in tandem to improve the dampening efficiency of the system. In this study, an Interline Power Flow Controller (IPFC) FACTS device will be added to the PSSs controller to improve the power system s oscillatory stability. PSSs optimal design and supplemental controller of power fluctuations for IPFC were conducted out on WSCC multi-machine test systems using a system linear model. Using time-domain simulations and quantitative analysis, the proposed IPFC model was compared to the FFA-PSSs controller in terms of performance and efficiency. The main disadvantage of this technique is the difficulty in designing a dynamic IPFC model in test systems, as well as the burden of IPFC coordinated PSSs optimization. In both PSSs design using FFA method and FFA-optimized PSS with IPFC cases, rise in the computational and simulation costs was found unavoidable. To compensate for these flaws and obtain the research contribution, this paper proposes a Neuro-Fuzzy Controller (NFC) developed as a damping controller that can take the place of the two controllers (research objectives three). The application of the NFC substitute the computational and simulation cost involved in designing multi-machine PSS and IPFC-FACTS systems simultaneously. With the availability of NFC in SIMULINK, a dynamic m