Optimized Load Scheduling Approach for  Residential Consumers Using Metaheuristic  Algorithms Under Time of Use Tariff  Schemes

Jahin, Md. Asib Rahman; Adib, Asif Ur Rahman; Rashid, Wasik Billah Ibn

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dc.contributor.author	Jahin, Md. Asib Rahman
dc.contributor.author	Adib, Asif Ur Rahman
dc.contributor.author	Rashid, Wasik Billah Ibn
dc.date.accessioned	2025-02-28T10:29:27Z
dc.date.available	2025-02-28T10:29:27Z
dc.date.issued	2024-06-27
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dc.identifier.uri	http://hdl.handle.net/123456789/2334
dc.description	Supervised by Mr. Hasan Jamil Apon, Lecturer, Department of Electrical and Electronic Engineering (EEE) Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2024	en_US
dc.description.abstract	This project focuses on developing an advanced load scheduling strategy as part of a demand-side management (DSM) approach tailored for residential consumers in Dhaka City, Bangladesh. The primary objective is to optimize electricity consumption patterns to reduce costs and alleviate peak demand pressures on the grid. The proposed methodology employs sophisticated optimization algorithms, including Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and a Hybrid Grey Wolf and Particle Swarm Optimization (HGWOPSO) algorithm. By strategically rescheduling the operation times of household appliances from peak to off-peak hours, the method aims to lower electricity bills and the peak-to-average ratio (PAR), while maximizing user comfort. Additionally, the integration of renewable energy sources, such as photovoltaic (PV) systems, enhances the overall efficiency and sustainability of the load scheduling approach. This research demonstrates the potential of combining ToU pricing schemes with advanced optimization techniques to create a more balanced and cost-effective power system.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Elecrtonics Engineering(EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.subject	Demand Side Management, Peak-to-Average Ratio, Time of Use, Load Scheduling, Optimization	en_US
dc.title	Optimized Load Scheduling Approach for Residential Consumers Using Metaheuristic Algorithms Under Time of Use Tariff Schemes	en_US
dc.type	Thesis	en_US