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Optimizing Power Usage in Wearable and Edible Devices for Railroad Operations Study on Renewable Power Integration and Storage

Optimizing Power Usage in Wearable and Edible Devices for Railroad Operations Study on Renewable Power Integration and Storage

S. Angalaeswari, Kaliappan Seeniappan
Copyright: © 2024 |Pages: 11
ISBN13: 9798369315866|ISBN13 Softcover: 9798369344729|EISBN13: 9798369315873
DOI: 10.4018/979-8-3693-1586-6.ch019
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MLA

Angalaeswari, S., and Kaliappan Seeniappan. "Optimizing Power Usage in Wearable and Edible Devices for Railroad Operations Study on Renewable Power Integration and Storage." AI Approaches to Smart and Sustainable Power Systems, edited by L. Ashok Kumar, et al., IGI Global, 2024, pp. 371-381. https://doi.org/10.4018/979-8-3693-1586-6.ch019

APA

Angalaeswari, S. & Seeniappan, K. (2024). Optimizing Power Usage in Wearable and Edible Devices for Railroad Operations Study on Renewable Power Integration and Storage. In L. Ashok Kumar, S. Angalaeswari, K. Mohana Sundaram, R. Bansal, & A. Patil (Eds.), AI Approaches to Smart and Sustainable Power Systems (pp. 371-381). IGI Global. https://doi.org/10.4018/979-8-3693-1586-6.ch019

Chicago

Angalaeswari, S., and Kaliappan Seeniappan. "Optimizing Power Usage in Wearable and Edible Devices for Railroad Operations Study on Renewable Power Integration and Storage." In AI Approaches to Smart and Sustainable Power Systems, edited by L. Ashok Kumar, et al., 371-381. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1586-6.ch019

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Abstract

This study introduces an innovative approach to optimizing power usage in wearable and edible devices designed for railroad operations, focusing on the integration and storage of renewable power sources. The primary objective of this research is to minimize the total fuel costs associated with an electrified rail network, which includes various sources of power generation and storage. Specifically, this includes the costs of electricity production from the common power framework, the cost of power acquired from renewable energy resources (RERs) like offshore wind and solar PV power generation, and the expenses associated with obtaining strength from microgrids, such as battery banks and ultracapacitors. Additionally, the revenue generated from selling excess energy back to the electricity network is considered. The problem is formulated as an electric enhanced power channel flow with linear constraints. Probability density functions (PDFs) are utilized to model the variability associated with renewable and PV generation.

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