Particle swarm optimization algorithm for capacitor allocation problem in distribution systems with wind turbine generators

Ramadan, Haïtham Saad Mohamed; Bendary, Ahmed F.; Nagy, Sayed

doi:10.1016/j.ijepes.2016.04.041

Cited by 110 publications

(64 citation statements)

References 44 publications

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“…Another study conducted by Ramadan [5], which implement the algorithm Particle Swarm Optimization (PSO) for determining the allocation of capacitors on distribution systems with turbine. Although not on the same topic, but this algorithm can be an alternative to solve the problems in this study.…”

Section: Related Workmentioning

confidence: 99%

“…There are several methods of addressing this feed optimization problems namely Genetic Algorithm (GA) [4], Particle Swarm Optimization (PSO) [5], Simulated Annealing (SA) [6] and Evolution Strategies (ES) [7]. In this study the authors using Evolution Strategies (ES) since this method uses combinational solutions to obtain the optimal solution [8].…”

Section: Introductionmentioning

confidence: 99%

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Implementation of Evolution Strategies (ES) Algorithm to Optimization Lovebird Feed Composition

Rizki

Mahmudy

Yuliastuti

2017

SJI

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Lovebird current society, especially popular among bird lovers. Some people began to try to develop the cultivation of these birds. In the cultivation process to consider the composition of feed to produce a quality bird. Determining the feed is not easy because it must consider the cost and need for vitamin Lovebird. This problem can be solved by the algorithm Evolution Strategies (ES). Based on test results obtained optimal fitness value of 0.3125 using a population size of 100 and optimal fitness value of 0.3267 in the generation of 1400.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of Evolution Strategies (ES) Algorithm to Optimization Lovebird Feed Composition

Rizki

Mahmudy

Yuliastuti

2017

SJI

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“…This capability of wind turbines, which should be taken in account in designing wind turbine controller and protection system, is called the fault ride-through the load variations from light to peak loads. In [20], to minimize power loss and voltage deviation, Particle Swarm Optimization (PSO) was applied to solve the capacitor allocation problem for a modified distribution network connected to wind energy. Because of the uncertainties in wind speed and poor reactive power compensation, the fitness cost function in the study was nonlinear, and appropriate mathematical tools were applied.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, Equation (16) is modified to Equation (20) for the space projectile position at step + 1, which shows a decreasing probability of changing the position of the projectile for increasingly small spaces [31].…”

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confidence: 99%

Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

Sirjani¹

2017

Sustainability

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Currently, many wind farms exist throughout the world and, in some cases, supply a significant portion of energy to networks. However, numerous uncertainties remain with respect to the amount of energy generated by wind turbines and other sophisticated operational aspects, such as voltage and reactive power management, which requires further development and consideration. To fix the problem of poor reactive power compensation in wind farms, optimal capacitor placement has been proposed in existing wind farms as a simple and relatively inexpensive method. However, the use of induction generators, transformers, and additional capacitors represent potential problems for the harmonics of a system and therefore must be taken into account at wind farms. The optimal location and size of capacitors at buses of an 80-MW wind farm were determined according to modelled wind speed, system equivalent circuits, and harmonics in order to minimize energy losses, optimize reactive power and reduce the management costs. The discrete version of the lightning search algorithm (DLSA) is a powerful and flexible nature-inspired optimization technique that was developed and implemented herein for optimal capacitor placement in wind farms. The obtained results are compared with the results of the genetic algorithm (GA) and the discrete harmony search algorithm (DHSA).

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“…The capacitors are efficient in overall current minimization through withering the reactive current supplied by the transformer. In literature, for solve the optimal capacitors allocation problem in distribution networks, a lot of metaheuristic techniques were used, such as: modified cultural algorithm, [1]; ant colony optimization algorithm, [3]; shark smell optimization algorithm [4]; bee colony optimization algorithm, [5]; plant growth simulation algorithm, [6]; monkey search optimization algorithm [7]; particle swarm optimization algorithm, [8]; flower pollination algorithm, [9]; mine blast algorithm, [10]; gravitational search algorithm, [11]; cuckoo search algorithm, [12]; self-adaptive harmony search algorithm, [13]; bacterial foraging optimization algorithm [14], etc.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Metaheuristic Algorithm for Optimal Capacitor Allocation in Electric Distribution Networks

Neagu¹,

Grigoraș²

2017

dtcse

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Abstract. The capacitors are generally used to provide the compensation of reactive power in the electric distribution systems. This paper investigates a particular approach that highlights the influences which the connection of shunt capacitors may have over the solutions for voltage control in the medium voltage distribution networks. The problem of optimal capacitor allocation for minimization of bus voltage deviation index was solved by using the Bat algorithm in order to find the near-optimal solutions for the capacitor allocation problem in electric distribution systems. To demonstrate the feasibility of algorithm, a real distribution network was used and the results were compared with those obtained using genetic algorithm.

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Particle swarm optimization algorithm for capacitor allocation problem in distribution systems with wind turbine generators

Cited by 110 publications

References 44 publications

Implementation of Evolution Strategies (ES) Algorithm to Optimization Lovebird Feed Composition

Implementation of Evolution Strategies (ES) Algorithm to Optimization Lovebird Feed Composition

Optimal Capacitor Placement in Wind Farms by Considering Harmonics Using Discrete Lightning Search Algorithm

An Efficient Metaheuristic Algorithm for Optimal Capacitor Allocation in Electric Distribution Networks

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