Electrical Distribution System Analysis with Atom Search Optimization based DG and DSTATCOM Allocation

Tahiliani, Gunjesh; Gupta, Atma Ram

doi:10.1109/delcon54057.2022.9753420

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…In addition, the analysis of the solutions lacks relevant information, such as processing times. • Tahiliani et al conducted a research focused on reducing energy losses and improving the operating aspects of three-phase power distribution grids [127]. To this effect, they proposed a methodology based on the atom search optimization (ASO) algorithm, which allows managing the power injected by DG and D-STATCOM devices in variable load scenarios.…”

Section: B Strategies That Address the Simultaneous Integration And M...mentioning

confidence: 99%

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

Guzmán-Henao,

Bolaños,

Montoya

et al. 2024

IEEE Access

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The growing demand for electric power and the need for an energy transition that contributes to the reduction of global greenhouse gas emissions have driven the development of various energy generation, storage, and offset technologies. These technologies are known as distributed energy resources. Their integration into distribution power systems not only contributes to improving operating aspects, but also allows supplying electricity to areas that do not have access to large-scale power systems. Therefore, the integration and management of these resources has become a topic of interest, and several studies seek to optimize their impact on technical, economic, and environmental aspects. However, this optimization poses specific challenges related to the type and number of variables related to the operation of a distribution power system. This review article aims to describe the main challenges posed by three-phase AC threephase distribution power systems under scenarios involving the integration of distributed energy resources. In addition, it presents some approaches proposed by different authors to improve the technical, economic, and environmental aspects of power grids. It can be stated that the strategies presented in the literature fail to consider scenarios that simultaneously integrate different types of technologies and optimize them while following a multi-objective approach and considering three-phase systems in a context of variable generation and demand. Therefore, future work in this field should address these aspects in a holistic manner, taking into account the computation efforts and processing times required by intelligent algorithms.INDEX TERMS Electrical mathematical model, DERs, DG, Energy costs, CO 2 emissions, Energy losses, BESS.

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Section: B Strategies That Address the Simultaneous Integration And M...mentioning

confidence: 99%

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

Guzmán-Henao,

Bolaños,

Montoya

et al. 2024

IEEE Access

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“…Optimization of DG based on PSO was carried in [12,13]. Atom search optimization (ASO) was introduced in [14] and virtual power plant method was developed in [15]. Studies in [11][12][13][14][15] using three-phase DG injection.…”

Section: Introductionmentioning

confidence: 99%

“…Atom search optimization (ASO) was introduced in [14] and virtual power plant method was developed in [15]. Studies in [11][12][13][14][15] using three-phase DG injection. This scheme is less effective in mitigating voltage imbalance issues.…”

Section: Introductionmentioning

confidence: 99%

NeSOS Based GA Operator for Optimal Single-Phase DG in Unbalanced and Harmonic Polluted Distribution Network

2024

IJIES

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This research discusses the optimization of capacity and locations for multi single-phase distributed generation (DG) in unbalanced distribution systems to reduce power losses, improve bus voltage while maintaining voltage imbalances and harmonics within the acceptable limits. The optimization of single-phase DG uses new enhanced symbiotic organism search (NeSOS) based genetic algorithm (GA) operator. NeSOS is developed by modifying the mutualism and commensalism phases using the random weighted inverse vector. The parasitism phase is modified by introducing sub-phase in parasitism phase. NeSOS based GA operator is validated using the IEEE 33bus system and tested using an unbalanced 25-bus distribution system. Validation using the IEEE 33-bus distribution system shows that NeSOS based GA operator produces the lowest power loss compared to, chaotic moth-flame optimization (CMFO) based power loss sensitivity factor (PLSF), particle swarm optimization (PSO), improved analytical (IA), loss sensitivity factor (LSF), and hybrid PSO method. Simulations using an unbalanced 25-bus distribution system indicate that NeSOS and SOS successfully reduces active and reactive power loss by 68.24% and 64.93% respectively, however in terms of convergence rate, NeSOS is, on average, 52.39% faster than SOS.

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Radial Unbalance Distribution System Analysis with DG and D-STATCOM Allocation Using Arithmetic Optimization Algorithm

Maurya,

Kumar

2024

Lecture Notes in Electrical Engineering

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Electrical Distribution System Analysis with Atom Search Optimization based DG and DSTATCOM Allocation

Cited by 4 publications

References 10 publications

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

NeSOS Based GA Operator for Optimal Single-Phase DG in Unbalanced and Harmonic Polluted Distribution Network

Radial Unbalance Distribution System Analysis with DG and D-STATCOM Allocation Using Arithmetic Optimization Algorithm

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