Voltage Stability Enhancement of Primary Distribution System by Optimal DG Placement

Bhargava, Vani; Sinha, Samarth; Dave, M. P.

doi:10.1007/978-981-13-1822-1_7

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…𝑥 𝑖𝑗 = 𝑟𝑎𝑛𝑑 × (𝑈𝐵 − 𝐿𝐵) + 𝐿𝐵, 𝑗 = 1,2, … 𝑛 (7) 𝑟𝑎𝑛𝑑 is a random rate, 𝐿𝐵 and 𝑈𝐵signify to the lower and upper bound of the given problem, respectively.…”

Section: Reptile Search Algorithm (Rsa)mentioning

confidence: 99%

“…The operation of some classic generation facilities, on the other hand, is completely reliant on a consolidated switch interconnected to the service grid. Utilities distribute driven power across a broad radial distribution infrastructure to fulfil the needs of widely dispersed users [6,7]. The motivation for larger chief power plants is currently dwindling due to high-tech improvements, the shrinking nature of existing assets, differentiating conservational growing concerns, deregulation improvements, and improved feeder line charges [8].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Sizing and Assignment of Distributed Generation and Energy Storage System using Hybrid Techniques in Radial Distribution System

2022

IJIES

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The relevance of Distributed Generation (DG) has grown in recent years as a result of rising commercial and industrial loads, which places greater demand on traditional sources due to a scarcity of natural resources. As a consequence, in order to fulfil the enormous load without jeopardizing natural resources, new power generation methods are required. The placement of Energy Storage Systems (ESSs) could be a huge chance to enhance the appearance of the distribution system. And DG is one of the most effective answers to the economic and ecological challenges of traditional sources. Some possibilities, it appears, need a large area and a significant expenditure. The optimal DG size and location decreases power loss, whereas the improper DG size and location increases loss due to excessive reverse flow from the load to the supply, causing protection issues. An Improved Shuffled Frog Leap Algorithm (ISFLA) with Reptile Search Algorithm (ISFLA-RSA) for the ideal placement and size of DG and ESS in the IEEE Radial Distribution System (RDS) is proposed in this study to minimize power losses and retain voltage magnitude. While related to the conventional Analytical Index Method and Whale Optimization Algorithm, the suggested ISFLA-RSA achieves loss reduction and voltage profile of 92.4766 % and 0.9729, respectively.

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Section: Reptile Search Algorithm (Rsa)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Sizing and Assignment of Distributed Generation and Energy Storage System using Hybrid Techniques in Radial Distribution System

2022

IJIES

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“…Every iterative step registers the beauty and alluring nature of every firefly. Every firefly's brightness is compared to any surviving fireflies, and their locations are updated using equation (7).…”

Section: Improved Firefly Algorithmmentioning

confidence: 99%

“…By properly positioning and sizing DG in any power grid, the voltage dependability and network security can be improved. Unfavourable placement of the DG will result in considerable network losses and unsteady voltage [7]. Important factors that prompted this research are: 1.…”

mentioning

confidence: 99%

Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network

Munisekhar

Jayakrishna²,

Visali

2022

IJEER

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The importance of distributed generation (DG) has increased recently as a result of the growth in commercial and industrial loads, which has put more pressure on conventional energy sources and utilities. Alternative power generation methods that can handle the massive load without endangering the environment are therefore urgently needed. The installation of Energy Storage Systems (ESSs) may give a substantial opportunity to enhance the aesthetic appeal of the distribution system. DG is a practical substitute for conventional energy sources, which have drawbacks for both the economics and the environment. It goes without saying that there are situations in which a large amount of land and money are required. However, improper DG location or sizing increases safety issues because to the increasing power loss caused by larger reverse flow from the load to the supply. In order to reduce power losses and maintain voltage stability, the ideal location and dimensions for the DG and ESS in IEEE Radial Distribution systems are evaluated. To accomplish these objectives, a hybrid Shuffled Frog Leap Algorithm (SFLA) and Improved Firefly Algorithm (SFLA-IFFA) is suggested. The SFLA-IFFA produced better results in terms of the ideal location and DG size when compared to other existing algorithms.

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Placement and Sizing of Distributed Generation Units for Improvement of Voltage Profile and Congestion Management Using Particle Swarm Optimization

Lavanya

Rao

2020

Lecture Notes in Mechanical Engineering

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Voltage Stability Enhancement of Primary Distribution System by Optimal DG Placement

Cited by 7 publications

References 5 publications

Optimal Sizing and Assignment of Distributed Generation and Energy Storage System using Hybrid Techniques in Radial Distribution System

Optimal Sizing and Assignment of Distributed Generation and Energy Storage System using Hybrid Techniques in Radial Distribution System

Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network

Placement and Sizing of Distributed Generation Units for Improvement of Voltage Profile and Congestion Management Using Particle Swarm Optimization

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