• Rahul Gupta
• Aparna N. Mahajan

The main focal point of this paper is to solve the economic optimization problem of micro grids using advanced algorithm called RRA (Runner Root Algorithm) which is based on intelligence behavior of strawberry plants. Further, this heuristic technique (RRA) is able to solve the complexity of various constraint parameters involve like emission coefficients, decision variables and controlling parameters of micro grids. In this paper, proposed method is applied on standard data of power system and the results obtained in RRA (Runner Root Algorithm) method are being compared with other optimization techniques. By comparing the results of optimization, RRA method is able to achieve the optimal economic value of hybrid power system.

Biological Optimization, Runner Root Algorithm, Micro grid, Economic Load Dispatch

"ECONOMIC OPTIMIZATION OF MICRO GRID BY RUNNER ROOT ALGORITHM (RRA) ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d411-d419, July-2021, Available :http://www.jetir.org/papers/JETIR2107444.pdf

"ECONOMIC OPTIMIZATION OF MICRO GRID BY RUNNER ROOT ALGORITHM (RRA) ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd411-d419, July-2021, Available at : http://www.jetir.org/papers/JETIR2107444.pdf