Enhancement of small signal stability of power system using UPFC based damping controller with novel optimized fuzzy PID controller

Nahak, Narayan; Mallick, Ranjan Kumar

doi:10.3233/jifs-169606

Cited by 21 publications

(6 citation statements)

References 22 publications

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“…In Ref. [30], the GWO was used for the optimization of reactive power where it is proved to be superior to other algorithms such as imperialist competitive algorithm (ICA), gravitational search algorithm (GSA), harmony search algorithm (HSA), invasive weed optimization (IWO), simple genetic algorithm (SGA), PSO, and comprehensive learning PSO (CLPSO). A comparative study among diferent natureinspired algorithms, including cuckoo search (CS), genetic algorithm (GA), PSO, artifcial bee colony (ABC), frefy algorithm (FFA), and GWO, regarding the optimization of diferent benchmark functions, established the promising convergence performance of PSO while the GWO achieved the best overall ftness [31,32].…”

Section: Application Of the Hybrid Gwo-pso Algorithmmentioning

confidence: 99%

“…What is more, the hybridization of GWO and PSO has yielded promising results. A hybrid PSO-GWO algorithm signifcantly outperformed both PSO and GWO not only in the convergence speed and ability to search the global optimum but also in the quality and stability of solutions when the variants were tested against diferent benchmark functions, including unimodal, multimodal functions, and fxed-dimension multimodal functions [28,30]. Tis study considers a hybrid GWO-PSO algorithm based on a low-level coevolutionary technique where the functionalities of both variants are merged and the two variants operate sequentially [28].…”

Section: Application Of the Hybrid Gwo-pso Algorithmmentioning

confidence: 99%

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Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System

Kabiru¹,

Kaberere

Kamau

2022

Journal of Electrical and Computer Engineering

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Many researchers have proposed the use of the doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) in the enhancement of power system dynamic performance. However, the application of a coordinated design strategy to coordinate the DFIG and other synchronous generators in the system for the improvement of small-signal stability is rarely researched. What is more, the use of strategy with a low computational burden to enhance the robustness of coordinated strategy for the design of damping controllers is rare. A coordinated strategy in designing multiple damping controllers, including DFIG-based power oscillation damper (POD) and power system stabilizers (PSSs), is proposed in this paper. A modal participation factor is employed to find out the most effective feedback signal for the POD. A hybrid optimization algorithm based on the grey wolf optimizer (GWO) and particle swarm optimizer (PSO) is applied for parameter optimization of the damping controllers considering a multiobjective eigenvalue-based optimization problem. Modal analysis is carried out on the widely studied two-area four-generator benchmark power system to establish the theoretical viability of the proposed approach. Probabilistic analysis established on Monte Carlo simulation is then carried out to prove the robustness of the coordinated design strategy under diverse operating conditions. Nonlinear time-domain simulations are used to verify the damping performance and robustness of the proposed strategy under different operating scenarios.

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Section: Application Of the Hybrid Gwo-pso Algorithmmentioning

confidence: 99%

Section: Application Of the Hybrid Gwo-pso Algorithmmentioning

confidence: 99%

Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System

Kabiru¹,

Kaberere

Kamau

2022

Journal of Electrical and Computer Engineering

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“…DPFC incorporating PI, and FOPID controllers are used to alleviate PQ problems (e.g., sag, swell, and harmonics). A study of harmonics is also done for each controller [49].…”

Section: Strategies Of Dpfc Regulationmentioning

confidence: 99%

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Goud

Reddy²,

Bajaj

et al. 2021

Sustainability

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The integration of hybrid renewable energy sources (HRESs) into the grid is currently being encouraged to meet the increasing demand for electric power and reduce fossil fuels which are causing environmental-related problems. Integration of HRESs into the grid can create some power quality (PQ) problems. To mitigate PQ problems and improve the performance of grid-connected HRESs some flexible devices should be used. This paper presents a distributed power flow controller (DPFC), as a type of flexible device to mitigate some PQ problems, including voltage sag, swell, disruptions, and eliminating the harmonics in a hybrid power system (HPS). The HPS presented in this work comprises a photo voltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS). As a result, black widow optimization (BWO) with DPFC with real and reactive power (DPFC-PQ) is built in this paper to solve the PQ issues in HRES systems. The main aim of the work is to mitigate PQ problems and compensate for load demand in the HRES scheme. The controller used to drive this DPFC-PQ is a fractional-order PID (FOPID) controller optimized by the black widow optimization (BWO) technique. To assess the capability of BWO in fine-tuning the FOPID controller parameters, twelve optimization techniques were presented: P&O, PSO, Cuckoo, GA, GSA, BBO, Whale, ESA, RFA, ASO, and EVORFA. Additionally, a comparison between the FOPID controller and the classical PI controller is introduced. The results showed that the proposed BWO-FOPID controller for DFPC had mitigated the PQ problems in grid-connected HRESs. The system’s performance with the presented BWO-FOPID controller is compared with eleven optimization techniques used to optimize the FOPID controller and also compared with the conventional PI controller. The design of the proposed system is implemented in the MATLAB/Simulink platform and performances were analyzed.

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“…Whereas, GWO can balance between exploitation and exploration very effectively, it can also avoid trapping in local optima. So, hybrid PSO-GWO algorithm is proposed in this work for optimal setting of the parameters used in CPIDC and FOPIDC [44]. Similarly, different current control methods are proposed for SAPF to generate the switching pulse [45], [46], but for better controllability and fast response, Hysteresis Current Control (HCC) PWM method are very popular [47].…”

Section: Introductionmentioning

confidence: 99%

PSO-GWO Optimized Fractional Order PID Based Hybrid Shunt Active Power Filter for Power Quality Improvements

et al. 2020

Self Cite

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This paper presents a Hybrid Shunt Active Power Filter (HSAPF) optimized by hybrid Particle Swarm Optimization-Grey Wolf Optimization (PSO-GWO) and Fractional Order Proportional-Integral-Derivative Controller (FOPIDC) for reactive power and harmonic compensation under balance and unbalance loading conditions. Here, the parameters of FOPID controller are tuned by PSO-GWO technique to mitigate the harmonics. Comparing Passive with Active Filters, the former is tested to be bulky and design is complex and the later is not cost effective for high rating. Hence, a hybrid structure of shunt active and passive filter is designed using MATLAB/Simulink and in real time experimental set up. The compensation process for shunt active filter is different from predictable methods such as (p-q) or (i d -i q ) theory, in which only the source current is to be sensed. The performance of the proposed controller is tested under different operating conditions such as steady and transient states and indices like Total Harmonic Distortion (THD), Input Power Factor (IPF), Real Power (P) and Reactive Power (Q) are estimated and compared with that of other controllers. The parameters of FOPIDC and Conventional PID Controller (CPIDC) are optimized by the techniques such as PSO, GWO and hybrid PSO-GWO. The comparative simulation/experiment results reflect the better performance of PSO-GWO optimized FOPIDC based HSAPF with respect to PSO/GWO optimized FOPIDC/CPIDC based HSAPF under different operating conditions.INDEX TERMS Fractional order proportional-integral-derivative controller (FOPIDC), harmonic compensation, hybrid shunt active power filter (HSAPF), particle swarm optimization-grey wolf optimization (PSO-GWO), power quality.

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Enhancement of small signal stability of power system using UPFC based damping controller with novel optimized fuzzy PID controller

Cited by 21 publications

References 22 publications

Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System

Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

PSO-GWO Optimized Fractional Order PID Based Hybrid Shunt Active Power Filter for Power Quality Improvements

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