Coordinated Design of PSS and IPFC Using FFA to Control Low Frequency Oscillations

Sabo, Aliyu; Wahab, Noor Izzri Abdul; Othman, Mohammad Lutfi

doi:10.1109/scored53546.2021.9652711

Cited by 10 publications

(7 citation statements)

References 22 publications

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“…Ref [2] used Firefly Algorithm to tune the parameters of PIDbased PSS controller for two cases of parametric bounds. Various other algorithms have been also used like Chaotic Particle Swarm Optimization (CPSO) [3], Kho-Kho Optimization [4], Search and Rescue Algorithm [5], Cuckoo Search Algorithm [6], Fuzzy Particle Swarm Optimization [7], Henry Gas Solubility Optimization [8], Farmland Fertility Algorithm [9], Differential Evolution Algorithm [10], [11], Ant Colony Optimization [12], Sine Cosine Algorithm [13], Particle Swarm Optimization [14], Archimedes Optimization Algorithm [15], Water Cycle Moth-Flame Optimization [16], Immune Genetic Algorithm [17], etc. Jaya algorithm have been used in solving a number of engineering optimization problems.…”

Section: Review Of Related Literaturementioning

confidence: 99%

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Aondoungwa,

Ibitayo

2024

JERR

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This study presents an optimized Proportional Integral Derivative Based Power System Stabilizer (PIDPSS) using Jaya Algorithm for angular stability enhancement. Jaya algorithm introduced by Rao, is an optimization technique with few control parameters which is used to minimize the objective function F(K). The modeling and simulation were done using Matlab /Simulink software version R2021b on IEEE 14-Bus system and Single Machine Infinite Bus (SMIB). A three-phase fault was introduced into the network at system runtime of 5s with a fault clearing time of 0.1s. The result of the simulation of the IEEE 14 Bus system showed a 74% and 24% reduction in overshoot time of speed deviation for generators 1 and 2, with settling times of 2.5s and 4s, respectively, in the presence of PIDPSS. The load angle experienced a 14% and 19% reduction in overshoot with settling times of 2s and 2.5s, respectively in the presence of PIDPSS for generators 1 and 2, respectively. The Electrical Power result showed 27% and 6% reduction in overshoot time as well as settling times of 2.5s and 4s, respectively, for generator 1 and 2 in the presence of PIDPSS. The result of the simulation of SMIB system also showed a 25% reduction in overshoot time in relation to deviation speed at a settling time of 4s in the presence of PIDPSS. The Load Angle showed- a 13% decrease in overshoot time at 2s settling time in the presence of PIDPSS. Also, the Electrical Power result highlighted a 15% drop-in overshoot time and settles within 2s. These results affirms that the PIDPSS introduced improved overall system stability.

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Section: Review Of Related Literaturementioning

confidence: 99%

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Aondoungwa,

Ibitayo

2024

JERR

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“…The authors of [14] provided a comprehensive analysis of the role of unified power flow regulation in voltage power transfer. In [3,15], the authors detailed how the performance of power system stability was enhanced by employing multiple damping controllers based on PSS and UPFC. The improvement of power system damping through TCSC and controller design based on genetic algorithms was explored in [16].…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Techno-Economical Control of UPFC against Cyber-Physical Attacks Considering Power System Interarea Oscillations

Mosleh,

Umurkan

2024

Applied Sciences

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In the field of electrical engineering, there is an increasing concern among managers and operators about the secure and cost-efficient operation of smart power systems in response to disturbances caused by physical cyber attacks and natural disasters. This paper introduces an innovative framework for the hybrid, coordinated control of Unified Power Flow Controllers (UPFCs) and Power System Stabilizers (PSSs) within a power system. The primary objective of this framework is to enhance the system’s security metrics, including stability and resilience, while also considering the operational costs associated with defending against cyber-physical attacks. The main novelty of this paper lies in the introduction of a real-time online framework that optimally coordinates a power system stabilizer, power oscillation damper, and unified power flow controller to enhance the power system’s resilience against transient disturbances caused by cyber-physical attacks. The proposed approach considers technical performance indicators of power systems, such as voltage fluctuations and losses, in addition to economic objectives, when determining the optimal dynamic coordination of UPFCs and PSSs—aspects that have been neglected in previous modern research. To address the optimization problem, a novel multi-objective search algorithm inspired by Harris hawks, known as the Multi-Objective Harris Hawks (MOHH) algorithm, was developed. This algorithm is crucial in identifying the optimal controller coefficient settings. The proposed methodology was tested using standard IEEE9-bus and IEEE39-bus test systems. Simulation results demonstrate the effectiveness and efficiency of this approach in achieving optimal system recovery, both technically and economically, in the face of cyber-physical attacks.

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“…To improve the damping performance of the LFO, [111] designed a PSS-based FFA and an IPFC as a supplementary controller. In [112], a PSS-based SVC with a UR-based approach has been designed to enhance the damping LFO.…”

Section: Modified Ieee-30b With Res Integrationmentioning

confidence: 99%

“…Table 5 shows an overview of the literature survey of FACTS devices in coordination with PSS. [111] PSS-IPFC-FFA SMIB IPFC, FFA Improve damping LFO, TPP Ref [112] PSS-SVC 2A-4M-10B SVC, UR-method Improve damping LFO, optimal location of the SVC controller Ref [113] PSS-SSSC IEEE-39B NETS SSSC,UR-method Improve damping LFO, TPP Ref [114] WAPSS-TCSC 2A-4M-11B MDM, GMO Improve damping LFO…”

Section: Modified Ieee-30b With Res Integrationmentioning

confidence: 99%

A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope

Sarkar

Prakash

2023

IEEE Access

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Modern power system networks are complex and subjected to several uncertainties. Due to the complexity and uncertainties involved in power system operation, the networks are prone to instabilities. Rotor-angle instability is one such issue that, if not addressed properly, may lead to system collapse. A power system stabilizer (PSS) is primarily a power oscillation damping (POD) controller used to dampen power oscillations, thereby improving rotor angle stability. The proper design of PSSs is a challenging task and is essential for the secure and reliable operation of power systems. In the past, many power system instability events occurred, resulting in cascading failures and even blackouts. In the literature, several methods are proposed for the efficient design of PSSs or POD controllers. In this contribution, a recent review on the design of PSS is presented, along with challenges and the future scope of research in this field. On the basis of this review, it can be concluded that there is ample scope for designing PSS in a more efficient and robust manner, considering several uncertainties that may occur during the operation of modern power systems.

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Coordinated Design of PSS and IPFC Using FFA to Control Low Frequency Oscillations

Cited by 10 publications

References 22 publications

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement

A Novel Techno-Economical Control of UPFC against Cyber-Physical Attacks Considering Power System Interarea Oscillations

A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope

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