Voltage stability enhancement using VSC-OPF including wind farms based on Genetic algorithm

Khatua, Kaushik; Yadav, Neha

doi:10.1016/j.ijepes.2015.05.007

Cited by 18 publications

(8 citation statements)

References 7 publications

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“…Voltage stability constrained optimal power flow (VSC-OPF) problem with considering L Max index is proposed by Ref. [20] in a wind-integrated system. Also, improved genetic algorithm (IGA) is utilized in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, improved genetic algorithm (IGA) is utilized in Ref. [20] for minimization L Max and system total fuel cost. Also, a new index is introduce in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

“…from f L 2 to f U 2 ) gradually, and for any value of ε, the modified single objective optimization problem (i.e. (20), (21)) is solved, and the optimal solutions like point C in Fig. 3 are obtained.…”

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confidence: 99%

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Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

2016

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Keywords:Active power losses Multi-objective optimal reactive power dispatch (MO-ORPD) Scenario-based uncertainty modeling Stochastic programming Voltage stability Wind farms (WFs) a b s t r a c t Optimal reactive power dispatch (ORPD) problem is an important problem in the operation of power systems. It is a nonlinear and mixed integer programming problem, which determines optimal values for control parameters of reactive power producers to optimize specific objective functions while satisfying several technical constraints. In this paper, stochastic multi-objective ORPD (SMO-ORPD) problem is studied in a wind integrated power system considering the loads and wind power generation uncertainties. The proposed multi objective optimization problem is solved using ε-constraint method, and fuzzy satisfying approach is employed to select the best compromise solution. Two different objective functions are considered as follow: 1) minimization of the active power losses and 2) minimization of the voltage stability index (named L-index). In this paper VAR compensation devices are modeled as discrete variables. Moreover, to evaluate the performance of the proposed method for solution of multi-objective problem, the obtained results for deterministic case (DMO-ORPD), are compared with the available methods in literature. The proposed method is examined on the IEEE-57 bus system. The proposed models are implemented in GAMS environment. The numerical results substantiate the capability of the proposed SMO-ORPD problem to deal with uncertainties and to determine the best settings of control variables.

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Section: Literature Reviewmentioning

confidence: 99%

“…Also, improved genetic algorithm (IGA) is utilized in Ref. [20] for minimization L Max and system total fuel cost. Also, a new index is introduce in Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

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Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

2016

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“…where J −1 sm is the inverse matrix of J sm , A is the specific element of J −1 sm . The sensitivity relationship between the voltage change of m bus and the reactive power change of j bus is obtained using Equation (5).…”

Section: Sensitivity Coefficient Matrixmentioning

confidence: 99%

“…Generally, WFs are equipped with a certain number of reactive power compensation devices such as static volt-ampere reactive compensators (SVCs) and static synchronous compensators (STATCOMs) to ensure voltage stability when a three-phase short circuit and other various faults occur [2,3]. Some researchers have enhanced the voltage stability of each bus in the WF via precisely coordinated control in case of a failure [4,5]. Nonetheless, this method is not suitable for reactive power dispatching under normal operations because of economic reasons [6].Currently, the mainstream doubly-fed and direct-driven wind turbine (WT) operates continuously between 0.95 power factor lead and 0.95 lag because both of their converter systems have good reactive power control capability [7].…”

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confidence: 99%

Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

2018

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A reactive power/voltage control strategy is proposed that uses wind turbines as distributed reactive power sources to optimize the power flow in large-scale wind farms and reduce the overall losses of the collector system. A mathematical model of loss optimization for the wind farm collector systems is proposed based on a reactive power/voltage sensitivity analysis; a genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to validate the optimization performances. The simulation model is established based on a large-scale wind farm. The results of multiple scenarios show that the proposed strategy is superior to the traditional methods with regard to the reactive power/voltage control of the wind farm and the loss reduction of the collector system. Furthermore, the advantages in terms of annual energy savings and environmental protection are also estimated.

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Multi-objective optimal power flow considering voltage stability index and emergency demand response program

2020

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Voltage stability enhancement using VSC-OPF including wind farms based on Genetic algorithm

Cited by 18 publications

References 7 publications

Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

Multi-objective optimal power flow considering voltage stability index and emergency demand response program

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