Optimal Allocation of Multiple Photo-Voltaic and/or Wind-Turbine Based Distributed Generations in Radial Distribution System Using Hybrid Technique with Fuzzy Logic Controller

Samala, Rajesh Kumar; Rosalina, K. Mercy

doi:10.1007/s42835-020-00577-5

Cited by 18 publications

(9 citation statements)

References 21 publications

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“…The RDS application would enhance the supply system's versatility and durability. The RDS allows voltage support under faulty conditions and helps to extend the power supply spectrum to restore supply [21]. The controllable RDS decision variables include the converter's active/reactive power on the faulty feeder and the voltage magnitude and the converter voltage angle on the faulty feeder.…”

Section: The Rds Modelmentioning

confidence: 99%

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Abdalla

Tao

Nazir

et al. 2023

J. Phys.: Conf. Ser.

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Measurement and model uncertainties in power grids lead to the unpredictability of its power output, which brings great challenges to the safe and sustainable system operation. Furthermore, optimal placement strategies of measurement devices and new energy sources have a great impact to maintain the system operation. This study introduces and constructed an active distribution network (ADN) including an energy storage system (ESS) and is optimized by using a hybrid Ant Colony Optimization-Random Forest Regression (HACORFR). Briefly introduces the operation and combined system modelled of the ESS-RDS (ERDS). Then the HACORFR algorithm optimizes the operation status of the RDS and detects the abnormality distribution network. After applying the proposed approach, if the operation indicators of the distribution network, don’t return to normal operation, the network topology will further reconstruct and optimize the ERDS. The IEEE-28 bus power distribution testing system was used to validate the proposed method. Finally, the results show that the proposed optimization method reduces the loss of the distribution network by 2.34%, and the voltage profile improved by 2.94%. The present method makes full use of the flexible load and realizes the interaction between supply and demand. It also greatly improves the reliability of the distribution network operation and economy.

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Section: The Rds Modelmentioning

confidence: 99%

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Abdalla

Tao

Nazir

et al. 2023

J. Phys.: Conf. Ser.

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“…The flicker generated by a WT connected to bus n (F Sw n ) is equal to the sum of short-term (F ST ,Sw n ) and long-term (F LT ,Sw n ) values, which are defined by Equations ( 8) to (10), respectively [32]. Sometimes, several WTs are placed on a bus.…”

Section: Switching Operationmentioning

confidence: 99%

A power quality‐based planning framework for flicker minimization of wind turbines in distribution network

Ghaffari

Askarzadeh

Fadaeinedjad

et al. 2023

IET Renewable Power Gen

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Renewable energy penetration in distribution networks, especially wind turbines (WTs) and photovoltaics (PVs), leads to an increase in power quality disturbances. One of the most important power quality issues is flicker produced by WTs. Here, to mitigate the flicker produced by WTs, distribution network planning (DNP) problem is solved concerning flicker minimization. For this aim, a weighted objective function is defined in which in addition to power losses, flicker emission is also considered. In the planning problem, siting and sizing of WTs as well as siting of PVs are investigated to simultaneously minimize power losses and flicker emission. Owing to the difficulty of this optimization problem, a new variant of genetic algorithm (GA), named elitist‐based GA (EGA), is proposed whose crossover operator works based on the elite chromosome. This variant provides a promising way to efficiently use information from the best solution to generate new solutions. Simulation results show that optimal siting and sizing of WTs can considerably improve the network parameters in terms of power losses and flicker emission. Moreover, simulation results show the efficiency and effectiveness of EGA compared to the other studied techniques.

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“…The results showed significant improvements stemming from the use of hybrid optimization techniques for different renewable energy-based power generators across a wide range of power factors. Said results were evaluated in comparison with those of ALOA and the proposed technique without FLC (Samala et al, 2020b).…”

Section: Optimized Dg Allocationmentioning

confidence: 99%

Recent Trends in the Optimization of Renewable Distrib-uted Generation: A Review

2022

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Distributed energy resources, or distributed generation (DG), are the mainstay of modern power systems aiming towards green energy generation via the effective integration of renewable energy sources. DG involvement in traditional power systems comprises the enhancement of power quality parameters, the utilization of renewable sources, cost optimization, and stable and reliable energy generation. The advantages of such a revolutionary approach can be achieved with the optimal sizing and allocation of DG by means of adequate optimization techniques, constraints, and optimized parameters. In this study, a comprehensive review of DG optimization is presented in light of recent developments, and a comparison is carried out based on the adopted optimization techniques, test system, enhanced parameters, and outcome evaluations.

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Optimal Allocation of Multiple Photo-Voltaic and/or Wind-Turbine Based Distributed Generations in Radial Distribution System Using Hybrid Technique with Fuzzy Logic Controller

Cited by 18 publications

References 21 publications

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

A power quality‐based planning framework for flicker minimization of wind turbines in distribution network

Recent Trends in the Optimization of Renewable Distrib-uted Generation: A Review

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