Open AccessOptimizing Electricity Load and Cost for Demand Side Management in Smart Grid
Author(s) -
Ayesha Afzaal,
Mohsin Nazir
Publication year - 2018
Publication title -
mehran university research journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2413-7219
pISSN - 0254-7821
DOI - 10.22581/muet1982.1804.15
Subject(s) - electricity , smart grid , computer science , renewable energy , load shifting , environmental economics , grid , demand response , load management , electricity demand , electricity generation , operations research , power (physics) , engineering , economics , electrical engineering , geometry , mathematics , physics , quantum mechanics
This paper proposes a mechanism for OELC (Optimizing Electricity Load and Cost) for smart grid. The load of every smart home is predicted one-hour prior to their actual usage. To fulfill PL (Predicted Load) of each consumer, multiple resources of electricity are considered, including RE (Renewable Energy) resources. Furthermore, cost to get PL from multiple resources is calculated. In proposed model 3-4 smart homes are grouped in the form of clusters. To reduce the amount of electricity bills, system also allows privileges to share electricity between adjacent smart homes within a cluster. To validate the OELC mechanism, extensive numerical simulations are conducted which shows a significant reduction in electricity load and cost for electricity consumers. In future, to enhance the functionality of OELC, security from cyber-attacks can be considered