Stochastic demand side management in smart grid system
by Manish Kumar; Cherian Samuel
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 20, No. 4, 2019

Abstract: Two-way communication of smart grid allows customer to see their energy consumption in demand side, and makes the energy supplier informed to manage economic dispatch based on load demand variability. Statistical analysis of demand-side management gives us the fitness of hourly load demand with proposed probability density functions. We proposed Lognormal, Gamma and Weibull probability density function for estimating the load demand variability at Banaras Hindu University (BHU) campus. We have collected the hourly load demand data of BHU campus for a year from the Electricity & Water Supply Service Center, BHU. The fitness of data with theoretical probability density function has been analysed with three goodness-of-fit tests named Kolmogorov-Smirnov, Anderson-Darling, and Cramer-von Mises tests. Modern R programming language software has been used for the computational work and graphical analysis. With this, we can manage optimal power flow between demand and supply to increase the system reliability.

Online publication date: Fri, 28-Jun-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Networking and Virtual Organisations (IJNVO):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com