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Hybrid SFLA-ANN Method for Effective Power Management of Hybrid Power Sources in a Variety of Weather Scenarios

Abstract

An intelligent Hybrid Energy Management Control model (HEMC) is utilized in grid integrates hybrid renewable energy system. This system incorporates a primary source in the form of a solar photovoltaic (PV), followed by wind power, storage element consisting of a Super Capacitor and supporting element of grid. To ensure optimal operation, a perceptive mode-based controller is employed in HEMC model, which utilizes a Shuffled Frog Leaping Algorithm with trained Artificial Neural Network (SFLA-ANN). The objective function is to minimize the transient power oscillations and settling time during static and dynamic load change condition with different environmental climatic conditions. To evaluate its performance, it is compared with existing algorithms such as Sliding Mode Controller (SMC), Shuffled Frog Leaping Algorithm (SFLA) and Sliding Mode Controller - Artificial Neural Network (SMC-ANN), which have been implemented using the Simulink/ MATLAB Platform. The analytical output response of HEMC presented and reflects significant performance improvement of the proposed controller is tested under both static and dynamic load conditions.

article Article

date_range 2024

language English

link Link of the paper

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Suresh A.

Samuel G.

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Sliding Mode Controller

Super Capacitor

Photovoltaic Cell

ANN

Shuffled Frog Leaping Algorithm

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Assessment of reinforced concrete building damages following the Kahramanmaraş earthquakes in Malatya, Turkey (February 6, 2023)

Abstract

Earthquakes of magnitude Mw = 7.7 and Mw = 7.6 hit the city of Kahramanmaraş (Turkey) on 6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey resulting in over 50,000 deaths and huge economic losses with the collapse of thousands of buildings. Two consecutive devastating earthquakes have severely damaged the reinforced concrete building stock located in Malatya. There are many reasons reinforced concrete structures suffer damage under the influence of seismic loads. These reasons can be listed as material and section properties that do not comply with earthquake codes, workmanship defects, ground parameters that are not considered and design errors, as seen in field investigations after earthquakes in Turkey in the past. In this research, a field study was conducted on reinforced concrete buildings damaged after the earthquakes in Malatya province. The causes of structural damages in reinforced concrete buildings between 6–26 years of age were assessed in terms of design and material defects. The structural damages were mainly caused due to insufficient stirrups in structural members, short column, strong beam–weak column, failures of infill walls, soft story type collapse, poor concrete quality, and reinforcement corrosion. In addition to the field investigation, the spectrum relationships created using raw acceleration data obtained from DEMP (Disaster and Emergency Management Presidency) stations in Malatya province were compared with the design response spectra.

article Article

date_range 2024

language English

link Link of the paper

Collapsed buildings

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