MODWT-XGBoost based smart energy solution for fault detection and classification in a smart microgrid

Patnaik, Bhaskar; Mishra, Manohar; Bansal, Ramesh C.; Jena, Ranjan Kumar

doi:10.1016/j.apenergy.2021.116457

Cited by 71 publications

(26 citation statements)

References 35 publications

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“…However, traditional regression models are generally for linear data, which is difficult in dealing with nonlinear data or regression missions with complex correlations between features. For nonlinear problems, random forest(RF), support Vector Regression(SVR) [30], XGBoost [31] etc. are widely used in energy prediction and evaluation projects, such as predictive control for building energy optimization [32] and solar photo-voltaic technical potential estimation [33].…”

Section: Literature Reviewmentioning

confidence: 99%

A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework

et al. 2021

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Section: Literature Reviewmentioning

confidence: 99%

A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework

et al. 2021

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“…On Off Fig. 1 The utility integrated microgrid for reliable and eco-friendly power supply [1][2][3]. Microgrids can be defined as an interconnection of distributed power sources, loads, and storage devices with considered electric restrictions that act as an isolated controllable unit with reference to the main distribution grid as shown in Fig.…”

Section: Point Of Common Couplingmentioning

confidence: 99%

A Brief Analysis on Microgrid Control

Chandak

Sahoo

Rout

et al. 2021

Lecture Notes in Electrical Engineering

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Microgrids have been an innovative enhancement in the power sector to integrate distributed power sources. Having the capability to operate in two modes, the control of microgrid is an important aspect to be studied. The paper discusses the operational concept and challenges faced by microgrids in different modes of operation to achieve optimum stability. The study on microgrid's control hierarchy has been analyzed in this paper. A brief analysis of several challenges faced by microgrid control strategy till-date has been discussed. Several power sharing strategies, energy management, and load balancing strategies have been studied. Along with the challenges faced, the paper explores future aspects of research in the field of microgrid control. IntroductionThe shifting power demand and environmental combat have been a constant source of change and development in the growth of power sector. Integration of distributed power sources earlier was restricted to medium and high voltage levels of power systems. However, the innovations, developments, and improvements in the miniaturized scale of power generation and distribution have promoted the use of distributed power sources at low voltage levels. This idea of integrating distributed sources in distribution networks has prompted the setup of microgrids addressing the demand

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“…Additionally, the long distances between the generation and consumption centers, the obsolescence of EPS elements, and the growth of electricity demand have increased energy quality problems [2,3]. As a solution to these problems, EPS have recently been divided into a small distributed network, known as a microgrid (MG) [4].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis of Microgrids Configurations and Topologies

Candelo-Becerra

Santos

2022

Sustainability

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Microgrids have been proposed as a solution to the growing deterioration of traditional electrical power systems and the energy transition towards renewable sources. One of the most important aspects of the efficient operation of a microgrid is its topology, that is, how the components are connected. Some papers have studied microgrid topologies; however, these studies do not perform an exhaustive analysis of the types of topologies, their applications, characteristics, or technical advantages and disadvantages. The contribution of this paper is the integration of the most important functional properties of microgrid topologies in terms of reliability, efficiency, structure, costs, and control methods. The study analyzes 21 topologies divided into six classifications with their respective sub-classifications. The analysis was based on the characteristics of the current (AC or DC), the control mechanisms, the transition between the operating modes, and the operating costs. As a result of the evaluation, it was evidenced that SST-based completely isolated coupled AC topologies, completely isolated two-stage AC decoupled, and multiple microgrids show the best performances. In contrast, the use of two-stage and three-stage partially isolated AC decoupled topologies is not recommended because of their high operating cost and low efficiency and reliability.

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MODWT-XGBoost based smart energy solution for fault detection and classification in a smart microgrid

Cited by 71 publications

References 35 publications

A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework

A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework

A Brief Analysis on Microgrid Control

Comprehensive Analysis of Microgrids Configurations and Topologies

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