Open AccessA Qualitative Analysis of an Intelligent Use of Demand and Generation in the Microgrid
Author(s) -
Izhar Us Salam,
Moatasim Billah,
Muhammad Maaz
Publication year - 2020
Publication title -
natural and applied sciences international journal
Language(s) - English
Resource type - Journals
ISSN - 2788-4619
DOI - 10.47264/idea.nasij/1.1.3
Subject(s) - microgrid , computer science , renewable energy , load management , reliability engineering , base load power plant , controller (irrigation) , power (physics) , load balancing (electrical power) , load shifting , demand response , load following power plant , peak demand , matlab , load profile , automotive engineering , control (management) , distributed generation , engineering , electricity , electrical engineering , grid , operating system , agronomy , physics , geometry , mathematics , quantum mechanics , artificial intelligence , biology
There are reliable solutions for overcoming the mismanagements and inefficiencies in the microgrid, which have been discussed, in the following proposed study. It focuses on the utilization of Renewable Energy Sources (RES) for operating the microgrid in a smart way such that the supply demand ratio is balanced profiting both the utility user and the end user. Power sources are scheduled as per requirement based on their availability and per unit cost. Centralized Multi Agent System (MAS) technique is adopted in which a central controller controls the operation of the whole microgrid system. Load agents attached to the system are of two types, i.e., critical load and non-critical load. The power to the critical load is to be maintained as a result of which in case of any emergency situation the power supplied to the non-critical load is shed off in order to make the critical load running. Different techniques are utilized for load management. Demand Side Management (DSM) is one of those techniques in which the load shifts from peak to off-peak hours and vice versa. Further, on the simulation of the proposed study has been performed in MATLAB/Simulink software and its hardware implementation has been done as well. The output results achieved indicates the supply to the load agents depending upon the availability of the power sources.