A novel PSO algorithm for DG insertion problem

M'dioud, Meriem; Bannari, Rachid; Elkafazi, Ismail

doi:10.1007/s12667-022-00546-z

Cited by 5 publications

(3 citation statements)

References 48 publications

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“…In [1], the Particle Swarm Optimization (PSO) approach is used to discuss the placement of DG units in the grid at the optimal location considering active power losses. Reference [2] employs Accelerated Particle Swarm Optimization (APSO) method for identifying the location and size of the DG units.…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic assessment of distribution system considering different types of electric vehicles and distributed generators

Babu R G,

Reddy K,

et al. 2024

IET Generation Trans & Dist

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The global warming crisis, together with environmental concerns, has already led governments to replace traditional fossil‐fuel cars with low‐emission Electric Vehicles (EVs). This replacement has resulted in the addition of a large number of EVs capable of connecting to the grid. A coordinated charging method is needed to promote EVs on a large scale while preventing grid overloading. In this work, EVs are categorized based on their battery capacity, as cars, trucks, and buses. A charging/discharging mechanism based on Real Time Pricing for each hour is developed for a 20‐min block that has been formed. The locations of EV charging stations have been identified using Voltage Stability Index.In the present work, the power loss when Distributed Generator (DG) units are deployed after the EVs are located in the system for charging and discharging is analyzed. The DGs are considered as solar‐based or wind‐based generators for studying the economic benefit of such an investment under two different weather scenarios and topologies on standard test systems. The results thus obtained give an insight into the various technical and economic benefits.

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Section: Introductionmentioning

confidence: 99%

Techno‐economic assessment of distribution system considering different types of electric vehicles and distributed generators

Babu R G,

Reddy K,

et al. 2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…In [1], the Particle Swarm Optimization (PSO) approach is used to discuss the placement of DG units in the grid at the optimal location considering active power losses. Reference [2] employs Accelerated PSO (APSO) method for identifying the location and size of the DG units.…”

Section: Introductionmentioning

confidence: 99%

Analysis of distribution systems in the presence of electric vehicles and optimal allocation of distributed generations considering power loss and voltage stability index

Sivakumar,

Ramasamy Gunaseelan,

Reddy Krishnakumar

et al. 2023

IET Generation Trans & Dist

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Electric Vehicles (EV) have the potential to completely transform the transportation industry, reduce carbon emissions significantly, and pave the road for significant climate progress. According to surveys, worries regarding range and charging accessibility are a significant barrier to EV customer adoption. The electricity grid will be significantly impacted by EV charging. A coordinated charging approach that facilitates EV charging while avoiding the power grid from overloading is required to manage EV charging. In this work, the EVs are classified based on their charging capacity. This classification includes car, truck, and bus. With this a charging discharging scheme has been established using Real Time Pricing for each hour for a 20‐min block. The Voltage Stability Index (VSI) for the system is calculated for the system and the strongest bus is identified for locating the EVs to charge/discharge.Augmenting this, in the present work, the power loss is analyzed when Distributed Generation (DG) units are installed after the EVs are located in the system for charging and discharging. The DG units are installed in each feeder, considering the VSI and Penetration Level (PL) and the power losses incurred due to the presence of EVs. The Monetary benefit of such an investment is analyzed for different topologies of IEEE‐33 and 69 bus systems and compared with the existing methods where DGs are installed before the EVs are located in the system for charging and discharging.

show abstract

“…In [1], the Particle Swarm Optimization (PSO) approach is used to discuss the placement of DG units in the grid at the optimal location considering active power losses. [2] employs Accelerated Particle Swarm Optimization (APSO) method for identifying the location and size of the DG units.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Distribution Systems in the presence of Electric Vehicles and optimal allocation of DGs considering power loss and VSI

Shwetha

et al. 2023

Preprint

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Electric Vehicles (EV) have the potential to completely transform the transportation industry, slash carbon emissions significantly, and pave the road for significant climate progress. According to surveys, worries regarding range and charging accessibility are a significant barrier to EV customer adoption. The electricity grid will be significantly impacted by EV charging. A coordinated charging approach that facilitates EV charging while avoiding the power grid from overloading is required to manage EV charging. In this work, the EVs are classified based on their charging capacity. This classification includes Car, truck and bus. With this a chargingdischarging scheme has been established using Real Time Pricing (RTP) for each hour for a 20 min block. Augmenting this, in the present work the power loss is analyzed when Distributed Generation (DG) units are installed after the EVs are located in the system for charging and discharging. The DG units are installed considering the Voltage Stability Index (VSI) and the power losses incurred due to the presence of EVs. The Monetary benefit of such an investment is analyzed for different topologies of IEEE-33 and 69 bus systems and compared with the existing methods where DGs are installed before the EVs are located in the system for charging and discharging.

show abstract

A novel PSO algorithm for DG insertion problem

Cited by 5 publications

References 48 publications

Techno‐economic assessment of distribution system considering different types of electric vehicles and distributed generators

Techno‐economic assessment of distribution system considering different types of electric vehicles and distributed generators

Analysis of distribution systems in the presence of electric vehicles and optimal allocation of distributed generations considering power loss and voltage stability index

Analysis of Distribution Systems in the presence of Electric Vehicles and optimal allocation of DGs considering power loss and VSI

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