Evolutionary programming based security constrained optimal power flow

Somasundaram, P.; Kuppusamy, K.; Devi, R. P. Kumudini

doi:10.1016/j.epsr.2004.02.006

Cited by 70 publications

(31 citation statements)

References 17 publications

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“…The results obtained with ECPA are compared with those from references [12], [14] and [28] for the IEEE 30-bus test system. A sensitivity analysis is performed with the IEEE 118-bus test system to assess the impact of ECPA's upper limits (maximum number of active power changes and controllable voltages) on the final solution of corrective control actions.…”

Section: B Experimental Setupmentioning

confidence: 99%

“…The ECPA's results for the IEEE 30-bus test system are compared with the results from references [12], [14] and [28]. Additionally, the results of ECPA for the IEEE 118-bus test system are compared with those from reference [21].…”

Section: B Experimental Setupmentioning

confidence: 99%

“…The ECPA's computational burden for the IEEE 30-bus system is compared with that from references [14] and [28]. The computational burden for the IEEE 118-bus is also analyzed.…”

Section: B Experimental Setupmentioning

confidence: 99%

See 2 more Smart Citations

Improving Power System Static Security Margins by Means of a Real Coded Genetic Algorithm

Martı́n

Sierra

2016

IEEE Trans. Power Syst.

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Section: B Experimental Setupmentioning

confidence: 99%

Section: B Experimental Setupmentioning

confidence: 99%

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Improving Power System Static Security Margins by Means of a Real Coded Genetic Algorithm

Martı́n

Sierra

2016

IEEE Trans. Power Syst.

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“…Gaussian and Cauchy mutation operators have been included in different subpopulations to improve the search diversity and avoid the local optimum. In [58], EP was applied for solving security constrained optimal power flow (SCOPF) problem, where contingency-case security constraints were involved in the optimization of the defined objective function. The EP based OPF in deregulated electric market environment was used and validated in [59].…”

Section: Evolutionary Programmingmentioning

confidence: 99%

A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems

Ming

Wan

2014

J. Mod. Power Syst. Clean Energy

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Optimal power flow (OPF) is one of the key tools for optimal operation and planning of modern power systems. Due to the high complexity with continuous and discrete control variables, modern heuristic optimization algorithms (HOAs) have been widely employed for the solution of OPF. This paper provides an overview of the latest applications of advanced HOAs in OPF problems. The most frequently applied HOAs for solving the OPF problem in recent years are covered and briefly introduced, including genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), and evolutionary programming (EP), etc.

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“…Mathematically, the OPF problem after incorporating SSSC FACTS controller can be formulated as follows [6]- [7] : Minimize = ( The minimization problem is subjected to following to equality and inequality constraints.…”

Section: Problem Formulation Quadratic Fuel Cost Functionmentioning

confidence: 99%

Application of SSSC FACTS Device in Reactive power flow Solution using Biogeography-based optimization

Joshi¹,

Kumar²,

Mathur³

2015

International Journal of Innovative Research in Electrical, Ele

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This paper describe the reactive power flow solution based BBO to amend the performance of the power system. Biogeography-based optimization is incorporating flexible AC transmission systems (FACTS). Static Synchronous Series Compensator (SSSC) is type of FACTS device used in this paper. In this BBO Store best parent solution and apply mutation and migration process on remaining parents to produce best fitted child sets. This paper define the problem of optimal power flow solution is very severe in modern interconnected transmission system the control of reactive and real power has to be fast to insure that the system remains stable under all condition of operation. The use of thyristor based controllers enable a transmission system to be flexible using SSSC FACTS is a series connected FACTS controller. The proposed BBO method gives better solution quality compared to particle swarm optimization with static synchronous series compensator facts device. The simulation results show that the proposed BBO algorithm is effective, fast and accurate in finding the optimal parameter settings for FACTS devices to solve OPF problems. BBO algorithm is tested on IEEE 14-bus with SSSC FACTS device gives better solution to enhance the system performance.

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Evolutionary programming based security constrained optimal power flow

Cited by 70 publications

References 17 publications

Improving Power System Static Security Margins by Means of a Real Coded Genetic Algorithm

Improving Power System Static Security Margins by Means of a Real Coded Genetic Algorithm

A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems

Application of SSSC FACTS Device in Reactive power flow Solution using Biogeography-based optimization

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