FDR PSO-based Transient Stability Constrained Optimal Power Flow Solution for Deregulated Power Industry

Anitha, M.; Subramanian, S.; Gnanadass, R.

doi:10.1080/15325000701351641

Cited by 15 publications

(3 citation statements)

References 17 publications

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“…A tale way to deal with multi target particle swarm optimization strategy for taking care of ideal power flow issue was proposed in [4]. Anitha et al [5] an full depth reclamation (FDR) particle swarm optimization (PSO) technique proposed to take care of the OPF issue considering incline rate cutoff points of generators and line flow limits. up being ground-breaking meta-heuristic solvers when applied to complex issues [6].…”

Section: Introductionmentioning

confidence: 99%

A binary particle swarm optimization approach for power system security enhancement

Chinda¹,

Rao²

2022

IJECE

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Improvement of power system security manages the errand of making healing move against conceivable system overloads in the framework following the events of contingencies. Generation re-dispatching is answer for the evacuation of line overloads. The issue is the minimization of different goals viz. minimization of fuel cost, minimization of line loadings and minimization of overall severity index. Binary particle swarm optimization (BPSO) method was utilized to take care of optimal power flow issue with different targets under system contingencies. The inspiration to introduce BPSO gets from the way that, in rivalry with other meta-heuristics, BPSO has demonstrated to be a champ by and large, putting a technique as a genuine alternative when one needs to take care of a complex optimization problem. The positioning is assessed utilizing fuzzy logic. Simulation Results on IEEE-14 and IEEE-30 bus systems are presented with different objectives.

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Section: Introductionmentioning

confidence: 99%

A binary particle swarm optimization approach for power system security enhancement

Chinda¹,

Rao²

2022

IJECE

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“…Others eliminate unnecessary constraints and variables by using reduced admittance matrix of power systems [8, 9]. Owing to their efficiency and robustness, modern optimisation techniques, such as evolutionary algorithm [11], particle swarm optimisation [12–14] and genetic algorithms [15], are also proposed to solve the TSC‐OPF problems. Recently, some inspiring approaches based on single machine equivalent model (SIME) have also been proposed [16–18].…”

Section: Introductionmentioning

confidence: 99%

Transient stability constrained optimal power flow using independent dynamic simulation

Tu¹,

Dessaint²,

Nguyen-Duc³

2013

IET Generation, Transmission & Distribution

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“…Therefore, intelligent optimization algorithms, such as the genetic algorithm, PSO algorithm and differential evolution algorithm, have been explored for better solutions [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

An improved micro-particle swarm optimization algorithm and its application in transient stability constrained optimal power flow

Gan

Jiang

2012

Int. Trans. Electr. Energ. Syst.

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In this paper, an improved micro-particle swarm optimization (mPSO) algorithm is proposed and applied to the development of a computational method for solving Transient Stability Constrained Optimal Power Flow (TSCOPF) problem. The improvement includes two novel intelligent strategies: the dynamic space adjustment and the selective re-initialization. The first strategy is designed to accelerate the convergence speed by confining the search in a reduced space, while the second strategy is to reduce the possible overabundance by re-initializing the particles only in a non-overlapping space. The simulation results demonstrate the superiority of the improved mPSO algorithm over both the original mPSO algorithm and the standard PSO algorithm.The proposed method is validated through case studies for solving TSCOPF problems on IEEE 39-bus system and IEEE 162-bus system. The results show that the algorithm can utilize a small population to obtain an equally good or better optimization outcomes compared to those of the original mPSO algorithm and the standard PSO algorithm.

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FDR PSO-based Transient Stability Constrained Optimal Power Flow Solution for Deregulated Power Industry

Cited by 15 publications

References 17 publications

A binary particle swarm optimization approach for power system security enhancement

A binary particle swarm optimization approach for power system security enhancement

Transient stability constrained optimal power flow using independent dynamic simulation

An improved micro-particle swarm optimization algorithm and its application in transient stability constrained optimal power flow

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