Energy Management Micro Grid using Hybrid De Algorithm with Genetic Algorithm
Anil Kumar P. G.1, P. Aruna Jeyanthy2, D. Devaraj3
1Anil Kumar P. G., Assistant Professor, Department of Electrical & Electronics Engineering, Kalasalingam University, (Tamil Nadu) India.
2Prof. P. Aruna Jeyanthy, Department of Electrical & Electronics Engineering, Kalasalingam University, (Tamil Nadu) India.
3Prof. D. Devaraj, Department of Electrical & Electronics Engineering, Kalasalingam University, (Tamil Nadu) India.
Manuscript received on 13 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 30 December 2019 | PP: 1107-1111 | Volume-9 Issue-2S2 December 2019 | Retrieval Number: B10931292S219/2019©BEIESP | DOI: 10.35940/ijitee.B1093.1292S219
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: This paper evaluates hybrid differential evolution algorithm and genetic algorithm of LAMG is used to solving the medium scale mixed integer programming problems. Hybrid GA and DE algorithm is implemented in Local place Micro grids. LPMG and the required need of power and choose more power plants with power production with the help of Genetic algorithm. Genetic algorithm can be introduced with local place micro grid and select any one of the power plant. In this DEA implemented the local place MG, then survey period is one day. Last calculation shows which time or hour produce more power and sold out power in nearest city area electricity board. DE algorithm determine the one day power survey and Genetic algorithm choose more hour and select any one of the hour for better power production. The hybrid DEA and GA is to maintain choosing and selecting of better power production. So our project aim is choose more hour and select any one of the hour for better power production. This hybrid is use DE and GA is to maintain the real and reactive power of any power plant.
Keywords: Local Place Micro Grid (LPMG), Local Place Energy Resources (LPERs), Differential Evolution Algorithm (DEA), Genetic Algorithm (GA) and Electricity (EB).
Scope of the Article: Economics of Energy Harvesting Communications