A power loss minimization strategy based on optimal placement and sizing of distributed energy resources

Mirsaeidi, Sohrab; Li, Shangru; Devkota, Subash; Li, Meng; He, Jinghan; Tzelepis, Dimitrios; Konstantinou, Charalambos; Said, Dalila Mat

doi:10.1002/jnm.3000

Cited by 8 publications

(4 citation statements)

References 24 publications

(42 reference statements)

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“…This is due to their increasing complexity in the modern energy sector, meeting the objectives of these features becomes more difficult. In this sense, blockchain technology in conjunction with tools such as smart grids, could provide a more complete control and monitoring of DER in power grids in order to solve the problems related to aggravated grid congestion, and DER uncertainty and variability [14], [241], [242].…”

Section: Discussionmentioning

confidence: 99%

Blockchain for Distributed Energy Resources Management and Integration

et al. 2022

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Power grids all over the world are transitioning towards a decentralized structure. Under such a transition, blockchain technology is emerging as a potential solution for technical, deployment and decentralization issues, given its security, integrity, decentralized nature and required infrastructure. Moreover, blockchain technology offers excellent features like non-repudiation and immutability which makes it a promising application for DER integration and management on reliability factors. In this paper, a comprehensive review of blockchain applications for DER management and integration is presented. First, a blockchain-based literature review of research activities in the DER integration area and related tasks including entrepreneurial efforts is carried out. Next, the different opportunities and challenges of DER integration and management in power grids, i.e., centralization, regulatory support, development costs are discussed. Finally, some key research challenges and opportunities of including blockchain technology to DER integration and management issues are presented.INDEX TERMS Blockchain, Distributed energy resources (DER), Distributed ledger technologies, Consensus algorithms.

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Section: Discussionmentioning

confidence: 99%

Blockchain for Distributed Energy Resources Management and Integration

et al. 2022

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“…The paper [2] presents a method for determining the best location for DGs by minimizing the overall energy loss. This method uses nonlinear programming and optimal power flow (OPF) techniques, taking into account operational Journal Green Energy Research and Innovation 1(1) (2024) [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] constraints and uncertainties in load and power generation resources in the IEEE 33-bus test system. The unit commitment (UC) problem is addressed in [3] using a novel evolutionary approach.…”

Section: Introductionmentioning

confidence: 99%

“…The objective of [16] is to reduce active and reactive power losses in power networks by implementing a genetic algorithm (GA) to maximize the capacity of DGs. Through simulation on standard IEEE 30-and 118-bus systems, this technique proves to be a promising strategy for sustainable energy systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of Distributed Energy Resources to Reduce Losses, Improve Voltage Profile, and Convert it into a Self-healing Smart Grid

Kazemi,

Morsagh Dezfuli

2024

JGERI

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This study focuses on achieving a self-healing network with high reliability and minimal losses by discussing the optimal placement of distributed generation (DG) sources in the network using the particle swarm algorithm (PSO). Optimal placement not only reduces losses but also enhances the voltage profile and enhances system reliability. Consequently, the paper explores the concept of a self-healing smart grid. Smart grids possess a crucial attribute known as self-healing, designed to enhance the system's dependability. The self-healing power grid can detect and rectify disruptions within its infrastructure with minimal or even absent human intervention. This study examines a standard IEEE 69-bus network and presents results demonstrating the network's safety, the prevention of blackouts, the reduction of losses, and the substantial enhancement of the voltage profile.

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“…Othman et al 17 represented binary PSO to reconfigure the distribution system as well as enhance the voltage stability. For power loss reduction of RDN, Mirsaeidi et al 18 placed distributed energy resources of optimal sized in large‐scale radial network. Hota and Mishra 19 .…”

Section: Introductionmentioning

confidence: 99%

Simultaneous network reconfiguration and DG allocation in radial distribution networks using arithmetic optimization algorithm

Dey¹,

Roy

2023

Int J Numerical Modelling

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This article introduces a newly suggested meta‐heuristic arithmetic optimization algorithm (AOA) to reorganize the distribution network with the simultaneous distribution of distributed generators (DGs). The algorithm is designed to be flexible with a new approach that employs the scattering behavior of arithmetic operators in mathematics to discover the solution space more proficiently throughout the path of iterations. The usefulness of the AOA is demonstrated on 33‐bus, and 69‐bus radial distribution networks (RDNs) with network reconfiguration (NR) in the presence of DGs. The main objective of NR and effective DG arrangement in RDNs is to truncate the true power loss, reduce the voltage fluctuation, and voltage stability index enlargement. In order to increase the efficacy of the RDN, a multi‐objective function is created in view of active power loss, voltage deviation, and voltage stability index of the system with appropriate strategy without destroying the system restrictions. To illustrate the effectiveness of the RDN, four separate cases of NR and DG employment have been carried out. Four cases namely, base case (case‐1), reconfiguration (case‐2), simultaneous reconfiguration and DG installation with a unity power factor (case‐3), and simultaneous reconfiguration and DG installation with 0.95 lagging power factor (case‐4) are explored. The projected technique gives better results than other renowned methods, namely, fireworks algorithm (FWA), harmony search algorithm (HSA), refined genetic algorithm (RGA), and improved sine‐cosine algorithm (ISCA) strategy in view of 33, 69‐bus RDN at three dissimilar load conditions and its supremacy is confirmed.

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A power loss minimization strategy based on optimal placement and sizing of distributed energy resources

Cited by 8 publications

References 24 publications

Blockchain for Distributed Energy Resources Management and Integration

Blockchain for Distributed Energy Resources Management and Integration

Optimal Placement of Distributed Energy Resources to Reduce Losses, Improve Voltage Profile, and Convert it into a Self-healing Smart Grid

Simultaneous network reconfiguration and DG allocation in radial distribution networks using arithmetic optimization algorithm

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