Estimation of Domestic Load Profile for Effective Demand-Side Management

Authors: , , ,

Abstract: In this article domestic base and shift based load profile are estimated for effective Demand Side Management (DSM). Domestic electricity consumption in Pakistan accounts for approximately 40% of total electricity sales. Effective DSM can reduce electricity consumption. Power generation companies are increasingly recognising the importance of analysing their customers' consumption patterns. This article proposes an agent-based modelling approach for forecasting household electricity consumption profile. AnyLogic software is used for establishing the model that uses variables and functions to estimate base and shiftable load of three hundred households. This article also estimates the weekly and 24- hour load profile for effective DSM operations by smart grid infrastructure. The results show that the agent-based simulation closely approximates real-time data, with a difference of only 2.4%.

Engineering World, E-ISSN: 2692-5079, Volume 6, 2024, Art. #10

PDF
DOI
XML
Cite
×
Citation Tools
WSEAS AMA
Maryam Jalal, Attique Ur Rehman, Azhar Ul Haq, Ihsan Ullah Khalil, "Estimation of Domestic Load Profile for Effective Demand-Side Management," Engineering World, vol. 6, pp. 100-105, 2024, DOI:10.37394/232025.2024.6.10
Maryam Jalal, Attique Ur Rehman, Azhar Ul Haq, Ihsan Ullah Khalil. Estimation of Domestic Load Profile for Effective Demand-Side Management. Engineering World. 2024;6:100-105. 10.37394/232025.2024.6.10
Copy to Clipboard
Citation copied to Clipboard

Certification

---