• ANMOL KAPILA
• SUKHMIDER SINGH GILL

Major requirement of ELD is to distribute the power among different units so that the load demand of all the units can be fulfilled. In addition to this it is also required to reduce the cost incurred by fuel and power transmission. In this process the load is distributed in such a way that power system utilized in efficient manner and also fulfills the consumer demand in optimum way. Main problem associated with the electric power generation is to schedule the output power units generated in order to fulfill the user’s demand of electric power with minimum cost for operation. In this study the solution of Electric Dispatch problems (EDPs) is obtained by implementing Swarm intelligence approach. In this work several optimization algorithm have discussed such as Genetic Algorithm, Lambda Optimization Algorithm and Particle Swarm Optimization. These optimization algorithms can be used as per the requirement of the system. A new mechanism for ELD is developed in this study by using MFO (Moth Flame Optimization) technique. Different optimization algorithms that can be used to resolve the EDP problem GA-API, SDE, TLBO, QOTLBO, KHA and GWO is compared with proposed MFO in this work to assure that the MFO algorithm outperforms among them. Keywords—Electronic Load Dispatch, Optimization, Moth Flame Optimization, Power Generation, Total Cost.

"Moth Flame Optimization Approach for Resolving Electrical ELD Problems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.890-897, June-2018, Available :http://www.jetir.org/papers/JETIR1806378.pdf

"Moth Flame Optimization Approach for Resolving Electrical ELD Problems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp890-897, June-2018, Available at : http://www.jetir.org/papers/JETIR1806378.pdf