Multi-objective optimal reactive power dispatch considering voltage stability in power systems using HFMOEA

Saraswat, Amit; Saini, Ashish

doi:10.1016/j.engappai.2012.06.008

Cited by 53 publications

(23 citation statements)

References 20 publications

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“…In these algorithms, active power losses, voltage stability enhancement and voltage deviation are optimized simultaneously by determination of optimal values of control variables. A modern hybrid fuzzy multiobjective evolutionary algorithm (HFMOEA) [24], advanced teaching learning based optimization (TLBO) algorithm [25], novel strength Pareto multi group search optimizer (SPMGSO) [26], chaotic upgraded PSO based multi-objective optimization (MOCIPSO) and greatly enhanced PSO-based multi-objective optimization (MOIPSO) approaches [27] and chaotic parallel vector evaluated interactive honey bee mating optimization (CPVEIHBMO) [28] are examples of the recently presented algorithms for solution of MO-ORPD.…”

Section: Literature Reviewmentioning

confidence: 99%

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%

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

2016

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“…Evolution algorithms like GA simulate the biological evolution and searches the optimal solutions through competition and reproduction of the population [8][9]. In GA, the individuals represent the candidate solutions to the given problem.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Reactive power optimization by genetic algorithm integrated with reduced gradient method

Zhao

Wang

Zhang

2014

2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)

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The optimal control of voltage and reactive power is one of the essential issues for power grids' security and the economical operation. Having elaborated the model of reactive power optimization in regional power grids, this paper advances an improved genetic algorithm integrated with reduced gradient technique for solving of ORP problem in regional power networks. It is implemented repeatedly on IEEE 30-bus system and an actual regional power grid. Compared with several other algorithms, the testing results demonstrate its effectiveness. It is showed that the proposed hybrid algorithm can gain better voltage profile and less active power loss simultaneously within permissible limits.

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“…In recent times, SPEA [14,18], NSGA-II [19], hybrid fuzzy multi-objective evolutionary algorithm [20], chaotic parallel vector evaluated interactive honey Bee mating optimization [21] have been pertained to solve multi-objective ORPD (MORPD) problem.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimal reactive power dispatch using multi-objective differential evolution

Basu

2016

International Journal of Electrical Power & Energy Systems

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Multi-objective optimal reactive power dispatch considering voltage stability in power systems using HFMOEA

Cited by 53 publications

References 20 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 optimization by genetic algorithm integrated with reduced gradient method

Multi-objective optimal reactive power dispatch using multi-objective differential evolution

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