Multi Objective Optimization based optimal Reactive Power Planning Using Improved Differential Evolution Incorporating FACTS

Vadivelu, K R; Marutheeswar, G Venkata

doi:10.15676/ijeei.2015.7.4.7

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Besides, FACTS devices can be used to improve the voltage stability. An optimal allocation of FACTS devices taking into account location and size is the key of reactive power planning [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal location and reactive power injection of wind farms and SVC’s units using voltage indices and PSO

Cherkaoui¹,

Belfqih²,

Mariami³

et al. 2019

IJECE

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<p class="Default">Nowadays, the use of the wind energy has known an important increase because it is clean and cheap. However, many technical issues could occur due to the integration of wind power plants into power grids. As a result, many countries have published grid code requirements that new installed wind turbines have to satisfy in order to facilitate its intergration to electrical networks. Among those requirements, the wind farms must be able to participate to ancillary services for instance voltage regulation and reactive power control. Nevertheless, in case of small wind farms having not the necessary reactive power capability to contribute to reactive power support, Flexible AC Transmission Systems (FACTS) devices could also be used to participate to reactive power support. In this paper, an optimization method based on particle swarm optimization (PSO) technique is presented. This method allows getting the optimal location and reactive power injection of both wind power plants (WPP) and synchronous var compensators (SVC) with the objective to improve the voltage profile and to minimize the active power losses. The IEEE 14 bus system and a 20 MW wind farm based doubly fed induction generator (DFIG) are used to validate the proposed algorithm. The simulation results are analysed and compared.</p>

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Section: Introductionmentioning

confidence: 99%

Optimal location and reactive power injection of wind farms and SVC’s units using voltage indices and PSO

Cherkaoui¹,

Belfqih²,

Mariami³

et al. 2019

IJECE

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“…The literature shows that there is a numerous type of optimization either conventional or not, able to solve the RPP problems such as Linear Programming (LP), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and also Different Search Algorithm (DSA). Reference [9] describe on optimal reactive power planning using improved differential evolution (IDE). It compares the findings with Evolutionary Programming (EP).…”

Section: Introductionmentioning

confidence: 99%

Loss Minimization in Optimal Reactive Power Planning (ORPP) Based on Whale Optimization Algorithm

Nasru

Musirin

Zamani

et al. 2018

IJET

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The key of RPP is the optimal allocation of reactive power considering location and size. This paper presents the loss minimization in optimal reactive power planning (ORPP) based on Whale Optimization Algorithm (WOA). The objective is to minimize transmission loss by considering several load conditions at bus 3, bus 15 and bus 21. Reactive Power Scheduling (RPS) and Transformer Tap Changer Setting (TTCS) were set as the control variables. Validation was conducted on the IEEE 30 Bus RTS. Results from the study indicate that the proposed WOA can minimize transmission loss better than Evolutionary Programming (EP).

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“…In KhaiPhuc Nguyen et al [4] apply the cuckoo search algorithm for optimal location of Static VAR Compensator (SVC) to improve the performance of the power system. The optimal solution given by Adaptive Differential Evolution algorithm is enhanced than other evolutionary algorithm methods is explained by K.R.Vadivelu et.al [5]. Another research of optimal power flow using cuckoo search algorithm for improvement of voltage stability has been explained by M. A. Elhameed [6].…”

Section: Introductionmentioning

confidence: 99%

Cuckoo Search Algorithm based Optimal Tuning of Thyristor Controlled Series Capacitor to Enhance the Line based Voltage Stability

Rao¹,

Kumar²,

Kumar³

et al. 2017

Advanced Science and Technology Letters

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Voltage stability is the capability of the power system to preserve the system under stable condition even exposed to small disturbances under normal or slightly over loaded conditions. Maintaining voltage stability is the one of the major factor for power system networks. In this paper new line established voltage stability index entitled fast voltage stability index (FVSI) is proposed for optimal placement of Thyristor Controlled Series Capacitor (TCSC). Optimal tuning of TCSC is obtained using Cuckoo Search Algorithm (CSA) to improve the voltage stability of the power system established on minimization of the total voltage deviation of the system. The CSA is coded in MATLAB and the performance is tested on Institute of Electrical and Electronics Engineers (IEEE) 30 bus test system with voltage deviation minimization as objective function. TCSC is a series connected device in the Flexible Alternating Current Transmission System (FACTS) family. It has capable of controlling the power flow through the line and also improve the line based voltage stability. In this paper TCSC is merged in CSA based Power Flow to optimize the total voltage deviation. Results attained by CSA are related to that attained by Genetic Algorithm (GA) in both without and with TCSC conditions. These results show that CSA produce better results compared to GA for solving optimal tuning of TCSC.

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Multi Objective Optimization based optimal Reactive Power Planning Using Improved Differential Evolution Incorporating FACTS

Cited by 4 publications

References 14 publications

Optimal location and reactive power injection of wind farms and SVC’s units using voltage indices and PSO

Optimal location and reactive power injection of wind farms and SVC’s units using voltage indices and PSO

Loss Minimization in Optimal Reactive Power Planning (ORPP) Based on Whale Optimization Algorithm

Cuckoo Search Algorithm based Optimal Tuning of Thyristor Controlled Series Capacitor to Enhance the Line based Voltage Stability

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