Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Salkuti, Surender Reddy

doi:10.14569/ijacsa.2021.0120661

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…Reference [14] describes the GA method combined with Gravitational Search Algorithm (GSA) for the optimal installation of DGs in the system (hybrid optimization) using real-time varying load. Reference [15] proposes an optimal DG allocation and shunt capacitor placement with reconfiguration of distribution system. The GSA algorithm is used with the objective of real power loss and voltage deviation minimization.…”

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.

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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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Optimal Power Flow by Different Modern Optimization Techniques

Nanda

Mishra

Salkuti

2023

Lecture Notes in Electrical Engineering

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Optimal Allocation of Distributed Generation, Capacitor Banks and D-STATCOM in Distribution Systems

Salkuti

2022

Int. j. math. eng. manag. sci.

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This paper demonstrates the problem of simultaneous optimal allocation of distributed generations (DGs), shunt capacitor banks (CBs), and distribution FACTSs based D-STATCOMs in distribution network for the improvement of the entire system performance. Here, two objectives, total power loss minimization, and overall voltage stability index (VSI) maximization are considered. In general, minimization of power loss is the primary objective, and VSI is considered for improved voltage stability. VSI must be positive to obtain a stable operation and a higher VSI value represents better stability of the RDS. These objectives are solved subject to constraints related to power balance, DGs, CBs, D-STATCOM powers, bus voltages, and VSI. Here, single objective problem is solved using Particle swarm optimization (PSO), and the multi-objective problem is solved using multi-objective PSO (MO-PSO). Standard 33 bus RDS is considered for solving this problem. The results obtained show that proposed optimization has improved the voltage profile and overall VSI of the RDS and minimized the system power losses.

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Optimal Operation of Smart Distribution Networks using Gravitational Search Algorithm

Cited by 3 publications

References 29 publications

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 distributed generations considering power loss and voltage stability index

Optimal Power Flow by Different Modern Optimization Techniques

Optimal Allocation of Distributed Generation, Capacitor Banks and D-STATCOM in Distribution Systems

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