Home Energy Management System for Dynamic Loads using Mamdani Fuzzy Logic Approach
Nishi Singh1, M.P.S. Chawla2, Sandeep Bhongade3
1Nishi Singh*, Department of Electrical Engineering, Shri G.S. Institute of Technology & Science, Indore (M.P) India.
2M.P.S. Chawla, Associate Professor, Department of Electrical Engineering, Shri G.S. Institute of Technology & Science, Indore (M.P) India.
3Sandeep Bhongade, Department of Electrical Engineering, Shri G.S. Institute of Technology & Science, Indore (M.P) India.
Manuscript received on December 28, 2021. | Revised Manuscript received on January 03, 2022. | Manuscript published on January 30, 2022. | PP: 1-13 | Volume-10 Issue-3, January, 2022. | Retrieval Number: 100.1/ijese.C25210110322 | DOI: 10.35940/ijese.C2521.0110322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: HEMS (home energy management systems) are controllers that manage and coordinate a home’s generation, storage, and loads. These controllers are becoming increasingly important. To ensure that distributed energy penetration continues to grow resources are appropriately utilized and the process is not disrupted within the grid. An approach to hems design based on behavioural control approaches is discussed in this paper which do not require accurate models or forecasts and are particularly responsive to changing situations, in this study. In this study, the role of the customer as well as the micro grid in intelligent demand management is demonstrated using MATLAB 2018 Fuzzy tool..
Keywords: Home Energy Management System, Fuzzy Logic, Microgrid, Membership Function.
Scope of the Article: High performance computing.