Optimal DG unit placement in distribution networks by multi-objective whale optimization algorithm &amp; its techno-economic analysis

C, Hari Prasad; Subbaramaiah, K.; Sujatha, P.

doi:10.1016/j.epsr.2022.108869

Cited by 38 publications

(9 citation statements)

References 30 publications

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“…It is effective for multi‐purpose ODGA, such as minimizing power loss and cost [91] and improving the voltage profile [92]. WOA has been applied to technic and economic analyses of multi ODGA on RDN of IEEE‐33 and IEEE‐69 [93]. The results suggested by WOA for installing DG on 30 bus RDN were better than FA, and its superiority was emphasized in minimizing total losses [94].…”

Section: Optimization Methods For Dg Integrationmentioning

confidence: 99%

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

Tercan,

Demirci,

Unutmaz

et al. 2023

IET Renewable Power Gen

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Distributed generation (DG) has a key role in enlarging the implementation of renewable energy resources (RES). However, the intermittent and uncontrollable nature of RES can lead to several severe power quality‐related issues. Therefore, many efforts have been made to overcome these issues by optimizing DG sizes and locations. Hence, optimal DG allocation (ODGA) is significant for DG performance and provides advantages to the power system, such as improved power quality, voltage stability, reliability, and profitability. This study reviews recent ODGA studies eliminating the main DG integration problems. Often used ODGA methods have been categorized, and the main differences have been discussed, giving the details of features of optimization methods such as convergence performance and computational burden. A deep analysis for categorizing the objectives of ODGA has been done. In addition, optimization methods applied in ODGA studies have been presented by comparing the superiorities of algorithms and validated test network models. The objectives and significant findings of the ODGA applications are summarized with the advantages and disadvantages. It can be concluded that ODGA has a critical role in RES integration on the DG side and in reducing carbon emissions. This paper leads and provides a perspective for researchers working on recent ODGA methods.

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Section: Optimization Methods For Dg Integrationmentioning

confidence: 99%

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

Tercan,

Demirci,

Unutmaz

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

show abstract

“…The overall loss of active power is decreased when one or more DGs are connected to a network compared to when the network was not equipped with DGs. The overall economic loss for the year without any DG (AEL W Odg ) is calculated as follows [27]: The 'Yearly Savings' because of the presence of DGs when EVs are present in the system is calculated as:…”

Section: Annual Economic Lossesmentioning

confidence: 99%

“…[26] concentrates on the cost minimization and export maximization and the effect of Real Time Pricing (RTP) is studied. [27] discusses Multi-Objective Whale Optimization Algorithm (MOWOA) and the techno-economic benefits analyzed.…”

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.

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“…Conversely, the lines congestion and obstruction are greatly reduced by the Optimal DG Placement. Many studies are primarily concerned with verifying these DG sources so that the placement and size of the renewable energy generators reduce power loss and save generator costs [9]- [10].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Composite Compensation Under Load Variation in Power Transmission System.

Saiful Amri Ismail

2024

jes

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The power transmission system is in a stressed condition due to the increasing electricity demand. This stress, exacerbated by the deregulated power system environment, necessitates an urgent additional supply to maintain system adequacy. One important initiative to alleviate the transmission burden which meets the load demand can be rectified by composite compensation scheme. This paper showcases intelligent composite compensation under varying loads, emphasizing loss minimization. The approach integrates a loss control scheme involving Distributed Generation (DG) and Optimal Reactive Power Dispatch (ORPD) with multi-DG installation termed composite compensation, employing a novel optimization technique called Integrated Cloning Accelerated Mutation Evolutionary Programming (ICAMEP). The study identifies optimal locations and sizes for composite compensation in the power transmission system, demonstrating its superiority over traditional optimization techniques namely the evolutionary programming (EP) and artificial immune systems (AIS). Results are demonstrated for four cases involving single DG, 3 DGs and composite compensation validated on IEEE 30-Bus Reliability Test System (RTS). ICAMEP is superior over EP and AIS in achieving the highest loss reduction.

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Optimal DG unit placement in distribution networks by multi-objective whale optimization algorithm & its techno-economic analysis

Cited by 38 publications

References 30 publications

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

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

Intelligent Composite Compensation Under Load Variation in Power Transmission System.

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