DSTATCOM allocation in distribution networks considering reconfiguration using differential evolution algorithm

Jazebi, Saeed; Hosseinian, Seyed Hossein; Vahidi, B.

doi:10.1016/j.enconman.2011.01.006

Cited by 133 publications

(107 citation statements)

References 16 publications

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“…The DSTATCOM performance is dependent on the control algorithm used to derive the reference current components. Several control schemes have been reported in the literature [12][13][14][15][16][17][18][19][20][21]. Genetic and fuzzy logic algorithms have been used to find the PI controller parameters of the DSTATCOM [12,13].…”

Section: Introductionmentioning

confidence: 99%

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A multifunctional DSTATCOM for power quality improvement

Mahdianpoor¹,

Kiyoumarsi²,

Ataei³

et al. 2017

Turk J Elec Eng & Comp Sci

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Abstract:The distribution static compensator (DSTATCOM) is used for various purposes such as load balancing, harmonic rejection, and power factor correction (PFC) in power distribution networks. In unbalanced and polluted power systems, the classic definition of power factor cannot be used for PFC due to the existence of harmonics and negative sequence components in voltage and current waveforms. In this paper, PFC is performed using the IEEE power factor definition for harmonic and unbalanced environments. Moreover, the application of a proportional-resonant (PR) controller is proposed as an effective controller in the stationary frame for DSTATCOM performance improvement. The PR controller is used in the abc-frame for load balancing and is then compared theoretically and by simulation with the conventional PI controller, which has the main drawback of steady-state error when used in the stationary frame. To improve the DSTATCOM structure, an LCL harmonic filter is used as it is advantageous over the L/LC filter in terms of the size of the filter. The proposed DSTATCOM compensates for the disturbances in the source current imposed by nonlinear, unbalanced, and low power factor loads. Simulation results show the capability of the DSTATCOM including the proposed PR controller in improving the power quality of distribution systems.

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Section: Introductionmentioning

confidence: 99%

“…Genetic and fuzzy logic algorithms have been used to find the PI controller parameters of the DSTATCOM [12,13]. In [12] based on the error and its variation, a segmented PI strategy is presented. Utilization and selection of the proposed strategy have been performed according to fuzzy rules.…”

Section: Introductionmentioning

confidence: 99%

A multifunctional DSTATCOM for power quality improvement

Mahdianpoor¹,

Kiyoumarsi²,

Ataei³

et al. 2017

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…In Taher and Afsari (2014), an immune Algorithm (IA) is used to search the optimal location and sizing of DSTATCOM for obtaining power loss reduction and improvement of current and voltage profile in distribution systems. Authors in Jazebi et al (2011) have used differential evolution (DE) algorithm for DSTATCOM allocation in distribution networks considering reconfiguration. The main goals include mitigating losses and improving voltage profile.…”

Section: Introductionmentioning

confidence: 99%

The Imperialist Competitive Algorithm for Optimal Multi-Objective Location and Sizing of DSTATCOM in Distribution Systems Considering Loads Uncertainty

Sedighizadeh

Eisapour-Moarref

2017

INAE Lett

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The optimal location and sizing of distribution static compensator (DSTATCOM) in distribution systems is a complex nonlinear problem. This problem is constrained by various technical limits and can offer different objectives that would provide many benefits to the network. These include minimization of power losses, index of voltage profile, load balancing index, and annual cost saving index which have been considered in this paper. In the present work, the Imperialist Competitive Algorithm (ICA) is employed for optimizing the distribution systems where an optimal location and sizing of DSTATCOM is investigated. In this study, an aggregating operator named Max-geometric mean is used for combination of objectives and providing overall objective function. The scaling of objectives is performed in the fuzzy framework. The proposed algorithm is implemented in 33 and 69 buses IEEE test systems. Furthermore, the uncertainty of the loads of the balanced system is modeled by using a fuzzy technique. Based on the numerical results of this work, one can extract that the performance of the ICA is slightly higher than other meta-heuristic algorithms; hence the introduced approach can be used by utility services for optimal DSTATCOM allocation and sizing in the distribution systems.

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“…In [4], the optimal allocation of distribution static compensator (DSTATCOM) is carried out to mitigate network power loss and to improve node voltage magnitude. In [5], the modeling of DVR for voltage correction and the performance of the device under different voltage sags condition is presented.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of Dynamic Voltage Restorer in Distribution Systems for Voltage Improvement Using Particle Swarm Optimization

Reddy¹

2017

IJERA

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This paper deals with Dynamic Voltage Restorer (DVR) allocation in radial distribution systems by injecting series voltage. The DVR is used to inject both real and reactive powers into the system for voltage profile improvement and active and reactive power loss minimization. The objective of this paper is to identify the optimal location and series voltage of DVR using Particle Swarm Optimization (PSO) algorithm. The proposed method is tested on standard IEEE 33-bus system and the results are presented.

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DSTATCOM allocation in distribution networks considering reconfiguration using differential evolution algorithm

Cited by 133 publications

References 16 publications

A multifunctional DSTATCOM for power quality improvement

A multifunctional DSTATCOM for power quality improvement

The Imperialist Competitive Algorithm for Optimal Multi-Objective Location and Sizing of DSTATCOM in Distribution Systems Considering Loads Uncertainty

Optimal Placement of Dynamic Voltage Restorer in Distribution Systems for Voltage Improvement Using Particle Swarm Optimization

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