Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Setiadi, Herlambang; Mithulananthan, Nadarajah; Krismanto, Awan Uji; Kamwa, Innocent; Hydro-Québec,; Mathematics, Varennes

doi:10.15676/ijeei.2019.11.4.10

Cited by 6 publications

(4 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the objective of the bat algorithm is to reduce the engine speed of the spark ignition engine. The mathematical representation of the bat algorithm objective function is described using (13) [24][25][26]. With e, t, Kp, Ki are error of the investigated signal, time, proportional controller gain and integral controller gain.…”

Section: Methodsmentioning

confidence: 99%

“…To measure the controller performance, some indices can be used. Thypically, integral squared error (ISE) and integral absolute error (IAE) are used as the indices for assesing the system performance [23][24][25]. Furthermore, for assesing the system more comprehensive, a indices that also considering time in the calculation is designed.…”

Section: Appendix -Measuring System Performancementioning

confidence: 99%

See 1 more Smart Citation

Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

Self Cite

View full text Add to dashboard Cite

The most common problem in spark ignition engine is how to increase the speed performance. Commonly researchers used traditional mathematical approaches for designing speed controller of spark ignition engine. However, this solution may not be sufficient. Hence, it is important to design the speed controller using smart methods. This paper proposes a method for designing speed controller of a spark ignition engine using the bat algorithm (BA). The simulation is carried out using the MATLAB/SIMULINK environment. Time domain simulation is carried out to investigate the efficacy of the proposed method. From the simulation results, it is found that by designing speed controller of spark ignition engine using PI based bat algorithm, the speed performance of spark ignition engine can be enhanced both in no load condition and load condition compared to conventional PI controler.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Appendix -Measuring System Performancementioning

confidence: 99%

Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

Self Cite

View full text Add to dashboard Cite

show abstract

“…X consists of optimized parameters while t1 is the time frame of the simulation. Hence, all of the objective function can be combined by using (14) [24], [26].…”

Section: Objective Functionmentioning

confidence: 99%

Intelligent SMES based on Flower Pollination Algorithm on Wind Power System for Dynamic Stability Enhancement

2022

IJIES

View full text Add to dashboard Cite

Integration of large-scale wind power plant (WPP) in transmission level is becoming reality due to reduce dependency on fossil fuels resources. Although, WPP could provide clean and sustainable energy, they also contribute in instability of power system especially on small signal stability due to uncertainty of the power output. Hence, utilizing additional devices such as energy storage can be considered to handle the uncertainty power output of WPP. This paper proposes an application of superconducting magnetic energy storage (SMES) as an additional device to provide a better damping of frequency oscillation and enhance the small signal stability performance of a power system affected by integrating of large-scale WPP. To get better performance, the parameters of SMES are automatically adjusted by using flower pollination algorithm (FPA). Eigenvalue, damping performance and time domain simulation are investigated to analyze the robustness and successfulness of the proposed method. From the simulation result, it is found that the proposed method (adding SMES on WPP using FPA) can enhance the small signal stability performance of the system. It is indicated by the TKE value of the proposed method is the smallest compared to the other scenarios (0.000017).

show abstract

“…To improve the performance of the conventional PSSs, many approaches for tuning the parameters have been proposed such as classical methods, variable structure and adaptive control method (Ghany and Shamseldin, 2020), intelligent control methods (Baadji et al, 2019), robust control method (Sharma and Mishra, 2018) and gradient methods for optimization (Guo et al, 2019). However, designing a PSS system is a difficult assignment because it involves a heavy volume of system modeling and a substantial optimization computational time on the system (Ibrahim et al, 2019; Setiadi et al, 2019). Other PSS design procedures employed in the literatures are optimal control technique, (Yousefian et al, 2017), adaptive control approach, (Kulkarni et al, 2015), numerical programming method (Naghshbandy and Faraji, 2019), robust control method (Zhou et al, 2018), H ∞ technique and eigenvalue method (Gomes et al, 2018) and so forth.…”

Section: Introductionmentioning

confidence: 99%

Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations

Sabo

Wahab

Othman

et al. 2021

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

Generally, power systems experience a variety of disturbances that can result in low frequency electromechanical oscillations. These low frequency oscillations (LFOs) take place among the rotors of synchronous generators connected to the power system. These oscillations may sustain and grow to cause system separation if no adequate damping is provided. Power system stabilizers (PSSs) are one of the alternative devices used to solve this rotor oscillation problem. The major limitation of using PSSs at the excitation system of synchronous machine is that the conventional PSS is a permanent parameter type operating under a particular system operating condition, and its parameters are acquired through trial and error. An efficient way of operating the PSS has been by designing the PSS parameters using a powerful optimization procedure. However, designing PSS damping controller is a cumbersome task as it needs a comprehensive test system modeling and a heavy computational burden on the system. In this research, a novel, model-free neuro-fuzzy controller (NFC) is designed as the LFOs’ damping controller to substitute the traditional PSS system making the power system simple without complications in PSS design and parameter optimization. The proposed controller application implements the LFOs’ control without a linearized mathematical model of the system, as such it makes the system less complex and bulky. Single machine infinite bus (SMIB) test system was simulated in SIMULINK domain with the PSSs and with the proposed controller to compare the NFC effectiveness. The simulation outcome for the eigenvalue study with NFC stabilizer yields steady eigenvalues that enhanced the damping status of the system greater than 0.1 with decreased overshoots and time to rise via the proposed NFC process than with the conventional FFA-PSS. Similarly, the generator transient reaction also presents the ω and δ based on the time to settle was improved by 64.66% and 28.78%, respectively, via the proposed NFC process than with the conventional FFA-PSS. Finally, the conventional PSS was found to be complicated in its design, parameter optimization and less effective than the proposed controller for the LFOs’ control.

show abstract

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Cited by 6 publications

References 27 publications

Design of spark ignition engine speed control using bat algorithm

Design of spark ignition engine speed control using bat algorithm

Intelligent SMES based on Flower Pollination Algorithm on Wind Power System for Dynamic Stability Enhancement

Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations

Contact Info

Product

Resources

About