• R. DHANAVIJAYAN

In this work, we introduce the grasshopper optimisation technique for solving the cubic function-based combined economic emission dispatch (CEED) issue while accounting for power flow restrictions. The electrical grid aims to meet customers’ load requirements at the lowest possible cost and emission level. The fuel price and its emissions are directly proportional to that of electricity. To get the best outcomes, the cost penalty plays a pivotal part in the CEED issue. We compare and contrast the many price penalty factors proposed in the literature to find the most effective one for our use cases. This CEED issue uses a 3-unit system taking transmission loss into account and a 13-unit system taking valve point effects into account. Total cost, fuel cost, and emission optimisation are prioritised in both test situations. Compared to other algorithms used to solve CEED issues, the numerical and statistical results confirm the excellent quality of the solution created by GIA.

Combined Economic Emission Dispatch, Emission, Fuel cost, Optimization Algorithm.

"Optimisation of combined economic emission dispatch problem with the cubic cost function", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.272-276, April-2019, Available :http://www.jetir.org/papers/JETIR1904W36.pdf

"Optimisation of combined economic emission dispatch problem with the cubic cost function", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp272-276, April-2019, Available at : http://www.jetir.org/papers/JETIR1904W36.pdf