A Robust Modified Harmony Search Evolutionary Technique for Transient Stability Enhancement in a Two Machine System Through STATCOM

Choudhury, Subhashree; Satpathy, Anshuman; Rout, Pravat Kumar; Prusty, Bishal Kant; Bhakat, Saurav; Dash, T. P.

doi:10.1109/icecct.2019.8869081

Cited by 5 publications

(8 citation statements)

References 7 publications

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“…In literature, different control schemes have been proposed and adapted for power oscillations damping with STATCOM. The proposed techniques involve Proportional Integral [14], swarm and bat algorithm [15], Harmony Search Evolutionary (HSE) technique [16], and Imperialist Competitive Algorithm (ICA) [17], etc. However, some of these linear and nonlinear techniques lack in adapting the system uncertainties and fail to retain performance under different contingencies [18].…”

Section: Literature Reviewmentioning

confidence: 99%

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NeuroFuzzy Wavelet Based Auxiliary Damping Controls for STATCOM

et al. 2020

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The integration of renewable energy sources and varying load demands have risen reliability and stability issues that need proper attention and optimum solution. Continuous and reliable operation of the power system is the key to any country's economic and industrial growth. In this regard, a Static synchronous compensator (STATCOM) has extensively adapted Flexible Alternating Current Transmission System (FACTS) device mainly for Volt Ampere Reactive (VAR) compensation, voltage stability, damping oscillations to improve power system stability. In this work, A NeuroFuzzy wavelets based auxiliary control for STATCOM in a two-area power system is proposed in this paper. The proposed control system was tested on four different fault scenarios. A modified Takagi-Sugeno-Kang (TSK) controller by applying a Wavelet Neural Network (WNN) is used to evaluate controllers' performance. The conventional TSK control is used to assess the performance of the proposed controllers. The TSK controller is modified by applying a WNN in the consequent part. The updated parameters in Morlet and Mexican hat wavelets are updated in the WNN, and these proposed adaptive controllers are employed as damping controllers with STATCOM. Simulation results show sufficient performance enhancement using the modified WNN based control schemes. The dynamic performance improvement is demonstrated with graphical time-domain and performance indices results using MATLAB/Simulink.

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Section: Literature Reviewmentioning

confidence: 99%

“…Using (16) to (20) and (11) into (15), the complete update law is formed which is used for adaptation of these update parameters.…”

Section: Tsk U U U U mentioning

confidence: 99%

NeuroFuzzy Wavelet Based Auxiliary Damping Controls for STATCOM

et al. 2020

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“…Recently, the modern power transmission, generation and distribution system have become complex and introduces major issues. The main reasons include (Choudhury et al, 2019a(Choudhury et al, , 2019b: rapid increase in electricity demand; limited availability of resources; environmental restraints; continuous load progression; interruption because of electrical component failure; and deregulation protocol.…”

Section: Introductionmentioning

confidence: 99%

“…With the advancement in the field of power electronics, higher speed FACTS devices with enhanced reliability and efficiency have been developed (Bayoumi, 2014;Soliman et al, 2010). Authors such as Choudhury et al (2019aChoudhury et al ( , 2019b; Mohapatra and Panda (2014) have reported the following merits of adopting the FACTS controller: administers compensation of reactive power; improves power flow; augments electrical grid reliability, enhances voltage profile; and elevates transient stability.…”

Section: Introductionmentioning

confidence: 99%

Modified brain storming optimization technique for transient stability improvement of SVC controller for a two machine system

Choudhury

Dash

2021

WJE

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Purpose Static VAR compensators (SVC) have been recognized to be one of the most important flexible AC transmission systems devices used for mitigating the low-frequency electrochemical oscillations occurring in the system and for reactive power compensation, thereby improving the overall dynamic stability and efficiency of the system. The purpose of this paper is to optimize and dynamically tune the control parameters of the classical proportional integral and derivative (PID) controller of the SVC for a two-machine system by designing a new robust optimization technique. Design/methodology/approach The angular speed deviation between the two machines is used as an auxiliary signal to SVC for generation of the required damping output. To justify the efficacy of the system undertaken, a light load fault at time t = 1 s is projected to the system. The simulation is carried out in MATLAB/Simulink architecture. Findings The proposed technique helps in the enhancement of system efficiency, reliability and controllability and by effectively responding to the non-linearities taking place in a power grid network. The results obtained are indicative of the fact that the proposed modified brain storming optimization (MBSO) technique reduces system disturbances very quickly, increases the system response in terms of better rise time, settling time and peak overshoot and improves the efficiency of the system. Originality/value A detailed comparison of the MBSO technique is compared with the conventional brain storming optimization (BSO) and PID technique. Total harmonic distortion through fast Fourier transform is also compiled to prove that the values of the proposed MBSO method found out to be confined well within the prescribed IEEE-514 boundaries.

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“…Flexible Alternating Current Transmission Systems (FACTS) have been widely adopted in power grids to control power flow, regulate voltage profile, increase lines power transfer capability, reduce active power losses and improve system stability [1]- [3]. Due to the high cost of FACTS devices, their capacity and placement in power grids should be identified precisely through adopting robust optimization techniques to solve a preset objective function [4]. STATCOM is one of the FACTS devices that received much attention in research and industry fields due to its several advantages that include wide operational range, rapid response and improved filtering performance [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Optimum Location and Parameter Setting of STATCOM Based on Improved Differential Evolution Harmony Search Algorithm

Zhang

et al. 2020

IEEE Access

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Identification of the optimum location and capacity of Static Synchronous Compensator (STAT-COM) in power grids has been given much attention to maximize its technical performance while minimizing operational cost. In this regard, a new multi-objective optimization model that minimizes power loss, enhances system stability and reduces operational cost of STATCOMs is presented in this paper. To overcome the issue of the harmony search (HS) optimization algorithm in solving high-dimensional multi-objective optimization problem, an improved differential evolution harmony search (DEHS) algorithm is proposed. In this algorithm, mutation and crossover operations are adopted instead of the original pitch adjustment operation adopted in the HS optimization algorithm, which enhances the algorithm global search ability. Moreover, opposition-based learning technique is incorporated to the process to broaden the diversity of variables and hence improving the search efficiency of the algorithm. The proposed algorithm is employed to identify the optimal allocation and sizing of multiple STATCOMs within the IEEE 30-bus system. Results reveal the superiority of the proposed optimization algorithm over the conventional multi-objectives adaptive harmony search algorithm. INDEX TERMS Flexible ac transmission systems, static synchronous compensator, system optimization, harmony search algorithm.

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A Robust Modified Harmony Search Evolutionary Technique for Transient Stability Enhancement in a Two Machine System Through STATCOM

Cited by 5 publications

References 7 publications

NeuroFuzzy Wavelet Based Auxiliary Damping Controls for STATCOM

NeuroFuzzy Wavelet Based Auxiliary Damping Controls for STATCOM

Modified brain storming optimization technique for transient stability improvement of SVC controller for a two machine system

Optimum Location and Parameter Setting of STATCOM Based on Improved Differential Evolution Harmony Search Algorithm

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