Power and Energy Management in Microgrid

Joglekar, Jayesh

doi:10.1002/9781119710905.ch2

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…This mode is called CPM. At each mode, the DC-link voltage, PV current, and PV voltage are shown in Figures 14,15,and 16. According to the MPPT, the PV voltage is 800 V, and the PV current is practically stretched to 250 A at 1000 w/m 2 , which is the rated current.…”

Section: Testmentioning

confidence: 99%

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A Modified Global Management Controller for a Grid-connected PV System with Battery under Various Power Balance Modes

Obaid¹,

Mahdi²,

Alkafaji³

2022

ETJ

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 A microgrid control system that depends on two stages was proposed.  The battery current and DC-link voltage control systems perform admirably, particularly during mode transitions.  Positive results with seamless transitions between modes were obtained from simulations conducted for various solar panels, battery status, and grid power.This work presents an Energy Management System (EMS) constructed on dissimilar power balance modes and dynamic grid power to activate a DC-link microgrid with a solar (PV-array) generator and battery storage. In addition, the option of requesting adjustable power from the grid to encounter load demand is also presented. Based on the availability of solar sources, battery state, and grid power, energy management offers the appropriate references for all modes. Six power balance options are defined based on power supply, storage system, and grid mobility to match the load requirement. The aims are to reduce energy usage and upsurge the life of the storage device. The microgrid is controlled to maintain a consistent DC-link voltage and manage the battery current depending on the mode of operation. Using MATLAB\SIMULINK software, the anticipated energy management system, which is based on power balancing modes, is tested under various scenarios. The simulation results demonstrated that the microgrid operated admirably, with seamless switching between power balance modes.

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Section: Testmentioning

confidence: 99%

“…Several pieces of research have been published in the microgrid control field and EMS [8][9][10][11][12][13][14][15][16][17][18][19]. As a result, the EMS can be implemented with certain improvements with real-time simulation for efficient management, enhanced microgrid-based…”

Section: Introductionmentioning

confidence: 99%

A Modified Global Management Controller for a Grid-connected PV System with Battery under Various Power Balance Modes

Obaid¹,

Mahdi²,

Alkafaji³

2022

ETJ

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“…It may comprise several or one single linked component that relies on alternating current (AC), hybrid, or direct current (DC) links as the common connection point (CCP) [4]. Multiple studies have examined energy management (EM) systems, as well as numerous control methods and controllers to create energy units [5][6][7][8][9]. The EM system is considered a top-level control system for supervisory control and data acquisition [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Kozłowski,

Jasik,

Łaszcz

et al. 2024

Opto-Electronics Review

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Growing energy demands are expected to render existing energy resources insufficient. Solar energy faces challenges in terms of providing continuous and reliable power supply to consumers. However, it has become increasingly important to implement renewable energy (RE) and energy management (EM) systems to increase the supply of power, improve efficiency, and maintain the stability of energy systems. As such, this present study integrated energy storage (ES) devices; namely, batteries and direct current (DC) to DC converters; into energy systems that support battery operation and effectively manage power flow, especially during peak load demands. The proposed system also addresses low solar irradiation and sudden load change scenarios by enabling the battery to operate in a discharge state to supply power to the load. Conversely, when the demand matches or exceeds the available solar energy, the battery is charged using solar power. The proposed system highlights the significance of RE systems and EM strategies in meeting growing energy demands and ensuring a reliable supply of power during solar variability and fluctuating loads. A MATLAB® Simulink model was used to evaluate the integration of a 200 kW photovoltaic (PV) array with a 380 V grid and 150 kW battery. The loads, consisting of a 100 kW and a 150 kW unit, were parallel connected. The results indicated that boost and three-phase (3Ph) inverters can be used to successfully integrate PV systems to the power grid to supply alternating current (AC) power. The inclusion of a battery also addressed power shortages during periods of insufficient power generation and to store surplus power.

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Sareenet: saree texture classification via region-based patch generation with an optimized efficient Aquila network

Ashok,

Priya,

Ahilan

et al. 2024

Opto-Electronics Review

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Online saree shopping has become a popular way for adolescents to shop for fashion. Purchasing from e-commerce is a huge time-saver in this situation. Female apparel has many difficult-to-describe qualities, such as texture, form, colour, print, and length. Research involving online shopping often involves studying consumer behaviour and preferences. Fashion image analysis for product search still faces difficulties in detecting textures based on query images. To solve the above problem, a novel deep learning-based SareeNet is presented to quickly classify the tactile sensation of a saree according to the user’s query. The proposed work consists of three phases: i) saree image pre-processing phase, ii) patch generation phase, and iii) texture detection and optimization for efficient classification. The input image is first denoised using a contrast stretching adaptive bilateral (CSAB) filter. The deep learning-based mask region-based convolutional neural network (Mask R-CNN) divides the region of interest into saree patches. A deep learning-based improved EfficientNet-B3 has been introduced which includes an optimized squeeze and excitation block to categorise 25 textures of saree images. The Aquila optimizer is applied within the squeeze and excitation block of the improved EfficientNet to normalise the parameters for improving the accuracy in saree texture classification. The experimental results show that SareeNet is effective in categorising texture in saree images with 98.1% accuracy. From the experimental results, the proposed improved EfficientNet-B3 improves overall accuracy by 2.54%, 0.17%, 2.06%, 1.78%, and 0.63%, for MobileNet, DenseNet201, ResNet152, and InspectionV3, respectively.

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Power and Energy Management in Microgrid

Cited by 4 publications

References 10 publications

A Modified Global Management Controller for a Grid-connected PV System with Battery under Various Power Balance Modes

A Modified Global Management Controller for a Grid-connected PV System with Battery under Various Power Balance Modes

Intermetallic compound layer formation in indium-based micro-bump array fabrication technology for IR detectors

Sareenet: saree texture classification via region-based patch generation with an optimized efficient Aquila network

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