Static VAR Compensator Damping Controller Design Based on Flower Pollination Algorithm for a Multi-machine Power System

Abdelaziz, Almoataz Y.; Ali, E. S.

doi:10.1080/15325008.2015.1028116

Cited by 54 publications

(20 citation statements)

References 29 publications

(34 reference statements)

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“…In the present study, an Integral Time Absolute Error (ITAE) of the speed deviation of generator [38,39] is taken as the objective function expressed as follows:…”

Section: Objective Functionmentioning

confidence: 99%

Optimal SSSC design for damping power systems oscillations via Gravitational Search Algorithm

Elazim

Ali

2016

International Journal of Electrical Power & Energy Systems

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“…In the present study, an Integral Time Absolute Error (ITAE) of the speed deviation of generator [38,39] is taken as the objective function expressed as follows:…”

Section: Objective Functionmentioning

confidence: 99%

Optimal SSSC design for damping power systems oscillations via Gravitational Search Algorithm

Elazim

Ali

2016

International Journal of Electrical Power & Energy Systems

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“…For the verification and validation of the effectiveness of the FPA along with ZN, the system is subjected to two types of external disturbances; (i) introduction of heavy load and (ii) sudden change in reactive power. Furthermore for better stability analysis two methods are adopted: 1) Root locus technique to find the location and variation of the poles of the closed loop system and 2) FFT analysis for determining the THD of phase voltage of the transmission line It helps in examining the amount of harmonics present in the system and its effective elimination to improve stability [10].…”

Section: Application Of Flower Pollination Algorithm Formentioning

confidence: 99%

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

Choudhury,

Rout,

Satpathy

et al. 2019

IJEAT

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With the evolution of electrical networks, the complexity and non linearity of modern power systems has enhanced exponentially. In order to reduce these potentially harmful oscillations, power system stabilizers (PSS) are introduced in generators of modern power systems. The PSS brings the system back to a stable and balanced state and re-establishes the pre-fault performance of the system after removal of disturbance and restoration of line. However utilization of PSS in certain cases of increased transmission line loading and other significant faults is not very effective and is rather time consuming. These days to acquire better control and quality of power, FACTS devices are being commonly used in large power systems. When SVC, a versatile FACTS device is used simultaneously with PSS, there is not only improvement in power transfer capability and controllability but also a distinct enhancement in power system stability. In order to increase the performance of the conventional PID controller of the PSS, it is tuned with a very simple and quick tuning method called Zeigler Nichols (ZN) which provides very fast elimination to disturbances in power system. However the conventional and ZN based PID controllers are confined only to linear control of power system. To further enhance the dynamic tuning process in order to obtain much faster and better transient as well as dynamic stability, a very adaptable and robust nature inspired technique of Flower Pollination Algorithm (FPA) is used to tune the ZN based PID controller. To realise the system transient stability for the conventional and proposed method, root locus and total harmonic distortion techniques have been adopted. The results ultimately reveal the efficacy and productiveness of FP based ZN- PID in successfully damping out inter area oscillations thus reducing the harmonics and improving overall stability in power systems as compared to other tuning methods

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“…As a novel and effective metaheuristic algorithm, FPA has been used in many fields. Abdelaziz and Ali [23] used it in a multimachine power system to seek the optimal parameters of static VAR compensator damping controller. Abdelaziz et al [24] also used FPA to solve the problem of economic load dispatch and combined economic emission dispatch problems.…”

Section: The Development Of Evolutionary Algorithms In Manufac-mentioning

confidence: 99%

A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm

Zhang

Yang

Zhang

et al. 2016

Mathematical Problems in Engineering

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With an increasing number of manufacturing services, the means by which to select and compose these manufacturing services have become a challenging problem. It can be regarded as a multiobjective optimization problem that involves a variety of conflicting quality of service (QoS) attributes. In this study, a multiobjective optimization model of manufacturing service composition is presented that is based on QoS and an environmental index. Next, the skyline operator is applied to reduce the solution space. And then a new method called improved Flower Pollination Algorithm (FPA) is proposed for solving the problem of manufacturing service selection and composition. The improved FPA enhances the performance of basic FPA by combining the latter with crossover and mutation operators of the Differential Evolution (DE) algorithm. Finally, a case study is conducted to compare the proposed method with other evolutionary algorithms, including the Genetic Algorithm, DE, basic FPA, and extended FPA. The experimental results reveal that the proposed method performs best at solving the problem of manufacturing service selection and composition.

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Static VAR Compensator Damping Controller Design Based on Flower Pollination Algorithm for a Multi-machine Power System

Cited by 54 publications

References 29 publications

Optimal SSSC design for damping power systems oscillations via Gravitational Search Algorithm

Optimal SSSC design for damping power systems oscillations via Gravitational Search Algorithm

Application of Flower Pollination Algorithm for Optimally Tuning Zeigler Nichols Parameters for PID Controller to Enhance Transient Stability through SVC

A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm

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