P. Priya, N. Kavithamani, N. R. Nagaraj, RVS College of Engineering and Technology, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2015.09.06
International Journal of Advanced Information and Communication Technology
Received On : August 10, 2017
Revised On : September 09, 2017
Accepted On : October 10, 2017
Published On : November 05, 2017
Volume 04, Issue 11
Pages : 757-761
Abstract
In Future Decentralized Power Generation will be the most important one in the Electricity Generation System. Who are prepared to invest in Generation-Battery Systems and Employ Energy Management Systems in order to cut down on their Electricity Bills. The main objective of this paper is to determine the Optimum Capacity of a customer’s Distributed-Generation System and Battery within the Framework of a Smart Grid. The proposed approach involves Developing an Electricity Management System based on Stochastic Variables such as Wind Speed, Electricity Rates, and Load. In a Residential Distribution Grid of so that effects of Electricity Rates as well Wind and Photo Voltaic Generation and Electricity Storage Costs on Optimum Capacities of a Battery for a Smart Home. the Hybrid Genetic Algorithm and Particle Swarm Optimization technique to Develop the Electricity Management System.
Keywords
Genetic Algorithm, Particle Swarm Optimization.
Cite this article
P. Priya, N. Kavithamani, N. R. Nagaraj, “An Hybrid Technology in Distributed Generation for Household Demand with Storage Capacity” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.757-761, November 05, 2017.
Copyright
© 2017 P. Priya, N. Kavithamani, N. R. Nagaraj. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.