Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel

Teknologi fuzzy tipe 2 (FT2) berkembang sangat pesat dan memasuki bidang stabilitas sistem tenaga listrik. Pembangkit listrik tenaga mikro hidro (PLTMH) dan diesel (PLTD) riskan terhadap gangguan perubahan beban. Studi stabilitas penting dikerjakan untuk memastikan bahwa operasi PLTMH-PLTD tetap stabil ketika dan setelah beban berubah. Maka power system stabilizer (PSS) berbasis FT2 diusulkan untuk perbaikan stabilitas sistem tersebut. FT2PSS didesain dengan input kecepatan rotor dan derivatifnya. Outputnya adalah sinyal stabilitas yang diumpankan pada sistem eksitasi. Hasilnya, FT2PSS mampu mereduksi overshoot -0,035 deg. Sedangkan overshoot untuk CPSS adalah -0,051 deg. FT2PSS juga dapat mempersingkat settling time dan mempercepat steady state. Stabilitas PLTMH-PLTD yang dilengkapi dengan FT2PSS diperbaiki secara significan.

Effective damping of local low frequency oscillations in power systems integrated with bulk PV generation

High penetration of renewable sources into conventional power systems results in reduction of system inertia and noticeable low-frequency oscillations (LFOs) in the rotor speed of synchronous generators. In this paper, we propose effective damping of LFOs by incorporating a supplementary damping controller with a photovoltaic (PV) generating station, where the parameters of this controller are coordinated optimally with those of a power system stabilizer (PSS). The proposed method is applied to damp local electromechanical modes by studying a system comprising a synchronous generator and a PV station connected to an infinite bus. The PV station is modeled following the instructions of the Western Electricity Coordinating Council. The problem is modeled as an optimization problem, where the damping ratio of the electromechanical modes is designed as the objective function. Constraints including upper and lower limits of decision parameters and damping ratio of other modes are considered by imposing penalties on the objective function. Different optimization algorithms are used to pursue the optimal design, such as political, improved gray wolves and equilibrium optimizers. The results validate the effectiveness of the proposed controller with PSS in damping local modes of oscillations.

Stability enhancement of power system with the implementation of power system stabilizer PSS and excitation system IEEE Type-1

Stability of power system is an ability of an electric power system that reaches its stable condition after fault happens in its network. The system is unstable when one generator loses its stable synchronism performance. This paper investigates the transient stability of an IEEE 9-bus system during faults that happen in different bus locations. Additionally, the analysis contributes to the integration of the exciter IEEE type-1 for synchronous generator and integration of power system stabilizer (PSS) to improve the power angle stability in the power system. The fault at bus 4 has the highest amplitude in which it increases to 77.58 degrees for the power angle of Synchronous Generators (SGs). The absence of PSS showed that the existing system oscillated and it is unstable. However, the integration of PSS enables the system to damp the oscillations of power angle and reduce the settling time to 5.69 seconds during the fault at bus 4. Moreover, the PSS is connected to SGs through the excitation system to improve the stability of the system in relative power angle of SGs, speed deviation, and electrical power of SGs. Hence, the integration of PSS and excitation system enhances the transient stability of the power system.

Sliding Mode Self-Tuned Single Neuron PID Controller for Power System Stabilizer

In this paper, a modified technique based on the combination of the Single Neuron PID (SNPID), as the main controller and Sliding Mode Control (SMC), as an adaptation technique, to design an optimized self-tuned for SNPID controller that may overcome difficulties faced when a change in system operating points occurs. The proposed approach has been implemented as a power system stabilizer (PSS) for a synchronous generator connected to an infinite bus. The Flower Pollination (FP) optimization is based on an appropriate objective function. To demonstrate the effectiveness of the combination obtained controllers, PSS, is tested under different operating conditions. The combination controllers are shown through uncertainties system parameters changes under different disturbances. The results show the ability of the suggested controllers to enhance well the system performances