voltage flicker parameters estimation using shuffled frog leaping algorithm and imperialistic competitive algorithm
نویسندگان
چکیده
measurement of magnitude and frequency of the voltage flicker is very important for monitoring andcontrolling voltage flicker efficiently to improve the network power quality. this paper presents twonew methods for measurement of flicker signal parameters using shuffled frog leaping algorithm(sfla) and imperialist competitive algorithm (ica). this paper estimates fundamental voltage andflicker magnitudes and frequencies with proposed methods. the goal is to minimize the error of theestimated magnitudes and frequencies via a designed fitness function. at first, we introduce voltageflicker and its measuring techniques. then voltage flicker model is analyzed. at the next part, a reviewof sfla and ica is presented. these methods will be applied to a test voltage signal and the resultsare be analyzed.
منابع مشابه
Voltage Flicker Parameters Estimation Using Shuffled Frog Leaping Algorithm and Imperialistic Competitive Algorithm
Measurement of magnitude and frequency of the voltage flicker is very important for monitoring andcontrolling voltage flicker efficiently to improve the network power quality. This paper presents twonew methods for measurement of flicker signal parameters using Shuffled Frog Leaping Algorithm(SFLA) and Imperialist Competitive Algorithm (ICA). This paper estimates fundamental voltage andflicker ...
متن کاملCentroid Mutation Embedded Shuffled Frog-Leaping Algorithm
Stochastic search algorithms that take their inspiration from nature are gaining a great attention of many researchers to solve high dimension and non – linear complex optimization problems for which traditional methods fails. Shuffled frog – leaping algorithm (SFLA) is recent addition to the family of stochastic search algorithms that take its inspiration from the foraging process of frogs. SF...
متن کاملAn Improved Shuffled Frog Leaping Algorithm ⋆
In order to overcome the defects of Shuffled Frog Leaping Algorithm (SFLA) such as nonuniform initial population, slow searching speed in the late evolution and easily trapping into local extremum, a new Shuffled Frog Leaping Algorithm based on mutation operator and population diversity is proposed in this paper. The algorithm has overcome the disadvantage mentioned above. The algorithm efficie...
متن کاملTwo-Phases Learning Shuffled Frog Leaping Algorithm
In order to overcome the drawbacks of standard shuffled frog leaping algorithm that converges slowly at the last stage and easily falls into local minima, this paper proposed two-phases learning shuffled frog leaping algorithm. The modified algorithm added the elite Gaussian learning strategy in the global information exchange phase, updated frog leaping rule and added the learning capability t...
متن کاملCombined Heat and Power Economic Dispatch using Improved Shuffled Frog Leaping Algorithm
Recently, Combined Heat and Power (CHP) systems have been utilized increasingly in power systems. With the addition penetration of CHP-based co-generation of electricity and heat, the determination of economic dispatch of power and heat becomes a more complex and challenging issue. The optimal operation of CHP-based systems is inherently a nonlinear and non-convex optimization problem with a lo...
متن کاملMultiobjective Optimal Reactive Power Dispatch Considering Voltage Stability Using Shuffled Frog Leaping Algorithm
This study addresses a shuffled frog leaping algorithm for solving the multi-objective reactive power dispatch problem in a power system. Optimal Reactive Power Dispatch (ORPD) is formulated as a nonlinear, multimodal and mixed-variable problem. The intended technique is based on the minimization of the real power loss, minimization of voltage deviation and maximization of the voltage stability...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
journal of artificial intelligence in electrical engineeringناشر: ahar branch,islamic azad university, ahar,iran
ISSN 2345-4652
دوره 1
شماره 1 2012
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023