Coordinated design of power system stabilizers and TCSC employing improved harmony search algorithm

Naresh, G.; Raju, M. Ramalinga; Narasimham, S. V. L.

doi:10.1016/j.swevo.2015.11.003

Cited by 37 publications

(19 citation statements)

References 34 publications

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“…CSO has been successfully applied to a number of power system optimization problems, such as transmission congestion management problems [22], power system stability [23], and reconfiguration problems [24] like optimal placement of Distributed Generator (DG) and Phasor Measurement Unit (PMU) [25]. The constraints impacted by parameters and stagnation issue of Particle Swarm Optimization (PSO) and Differential Evolution (DE) are met by CSO.…”

Section: Cat Swarm Optimization (Cso)mentioning

confidence: 99%

CSO Based Solution for Load Kickback Effect in Deregulated Power Systems

2017

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With increase in power demand, load demand values have also risen to a greater extent. Sometimes, these demands are met with the great difficulties. All these difficulties drive us to seek other alternative ways. One such a way demand response (DR) is considered in this paper, it is a new concept that is introduced in the system in order to reduce peak hour stresses. When implementing the demand response, the main setbacks that arise is the load kickback effect, which the sudden rise in demand during non-peak hours that is caused by the overuse of power by consumers, after their constant reduction of power during peak hours. This paper discusses the various kickback load types, and an effective approach to avoid and tackle kickback effect, by an effective method Cat Swarm Optimization (CSO), which is based on studying the movement of cats. The optimization has been implemented on an IEEE 30 bus and 75 bus Indian utility system, and the results are discussed.

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Section: Cat Swarm Optimization (Cso)mentioning

confidence: 99%

CSO Based Solution for Load Kickback Effect in Deregulated Power Systems

2017

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“…These algorithms require a minimum time to optimize the design parameters of any complex engineering problem when compared with the conventional optimization techniques. Simulated annealing, tabu search, genetic algorithm, PSO, ant‐directed hybrid differential evolution, bacteria foraging algorithm, honey‐bee colony algorithm, harmony search algorithm, cuckoo algorithm, chaotic–teaching‐learning methods, grey wolf algorithm, bat algorithm, water cycle algorithm, backtracking search algorithm, gradient‐based metaheuristic algorithm, whale optimization algorithm, gravitational search agorithm, and minimax polynomial approximation using PSO‐based PSS design techniques are developed by many researchers from the last few years. Though several methods are developed, optimal design of PSS for the highly nonlinear multi‐machine interconnected power system operating at different loading conditions is still essential for robust operation.…”

Section: Introductionmentioning

confidence: 99%

An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

Butti¹,

Mangipudi²,

Rayapudi

2020

Int Trans Electr Energ Syst

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Summary An improved whale optimization algorithm (IWOA) for the design of a robust power system stabilizer (PSS) for the multi‐machine power system is developed in this paper. Tuning of PSS parameters using the proposed IWOA is carried out by minimizing a multi‐objective function comprising the damping ratio and damping factor of lightly damped oscillating modes of all the generators. The advantage of considering the objective function is that the lightly damped and undamped oscillating modes of all the generators can shift to a prespecified zone of the s‐plane. The performance of the proposed IWOA is tested on standard benchmark test functions and compared with familiar optimization algorithms. The efficacy of the proposed design technique is tested on three benchmark test systems: three‐generator nine‐bus system, two‐area four‐machine interconnected system, and the New England 10‐generator 39‐bus system working on various operating conditions under several typical disturbances. The potential of the proposed method is demonstrated through eigenvalue analysis. The proposed IWOA‐based PSS is compared with the other stabilizers to show its efficacy.

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“…In [19] SVC provided with a supplementary damping controller (SDC) is developed for suppression of inter area oscillations, and a PI controller is designed using Kharitonov's theorem by stabilizing sixteen transfer functions. Various techniques have been proposed for the coordination control of PSS and FACTS devices [20][21][22]. The MRACs proposed in [23] require continuous measurements to determine the error between system response and model reference, while a fuzzy observer and regulator are designed in [24,25], and sufficient conditions are derived in terms of LMI inequalities.…”

Section: Introductionmentioning

confidence: 99%

Design of a robust PID-PSS for an uncertain power system with simplified stability conditions

Vijaya

Manyala

Mangipudi³

2020

Prot Control Mod Power Syst

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In a deregulated power system uncertainty exists and lack of sufficient damping can lead to Low Frequency Oscillations (LFO). The problem can be addressed using robust Power System Stabilizers (PSS). In this paper, an optimal procedure to design a robust PID-PSS using interval arithmetic for the Single Machine Infinite Bus (SMIB) power system is proposed. The interval modelling captures the wide variations of operating conditions in bounds of system coefficients. In the proposed design procedure, simple and new closed loop stability conditions for an SMIB interval system are developed and are used to design an optimum PID-PSS for improving the performance of an SMIB system. The optimum PID-PSS is attained by tuning the parameters using the FMINCON tool provided in MATLAB. The robustness of the proposed PID-PSS design is validated and compared to other notable methods in the literature when the system is subjected to different uncertainties. The simulation results and performance error values show the effectiveness of the proposed robust PID-PSS controller.

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Coordinated design of power system stabilizers and TCSC employing improved harmony search algorithm

Cited by 37 publications

References 34 publications

CSO Based Solution for Load Kickback Effect in Deregulated Power Systems

CSO Based Solution for Load Kickback Effect in Deregulated Power Systems

An improved whale optimization algorithm for the design of multi‐machine power system stabilizer

Design of a robust PID-PSS for an uncertain power system with simplified stability conditions

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