Demand Side Management Using a Novel NatureInspired Pelican Optimization Algorithm in a Smart Grid Environment

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 7

Year of Publication : 2024

Authors : H. Lakshmi

10.14445/23488379/IJEEE-V11I7P121

How to Cite?

H. Lakshmi, "Demand Side Management Using a Novel NatureInspired Pelican Optimization Algorithm in a Smart Grid Environment," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 7, pp. 238-246, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I7P121

Abstract:

A global trend that creates many uses for the data generated by dynamic networks is the deployment of smart grids. Converting this enormous transformation of data into information that the electrical system can use is the difficult part. Using Demand-Side Management (DSM) strategies to maximize power system management in real-time is one illustration of this. This article presents the Pelican Optimization Algorithm (POA), a unique optimization technique influenced by its chaotic nature. It provides the DSM with many controlled devices with a load-shifting solution. The loading-shifting issue has been managed hourly through the day in order to minimize the Peak to Average load Ratio (PAR), reduce the cost of power, and lower peak demand. It is suggested to use the POA mathematical model to solve optimization issues. POA’s performance is evaluated using twenty-three function objectives from different unimodal and multimodal categories. While the optimization results for multimodal functions provide a great ability using POA exploration to discover the major optimal region of the space for searching, the optimization findings at unimodal functions demonstrate the high exploitation power of POA for seeking the most practicable solution. Additionally, the efficiency of the POA in maximizing real-world applications is determined using four engineering design issues. To evaluate POA’s optimization proficiency, its results are contrasted with those of eight popular metaheuristic algorithms. The Pelican Optimization Algorithm (POA) approach is used for residential loads in Singapore to minimize DSM issues and achieve load-shifting objectives. The results of the simulation show that the demand-side management approach under consideration lowers the highest load demand of the smart grid while producing significant cost savings.

Keywords:

Peak to Average load Ratio (PAR), Pelican Optimization Algorithm (POA), Demand Side Management (DSM), Smart Grid (SG).

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