Wind‐driven water wave optimized economic load dispatch for the integration of renewable energy sources in micro‐grid system.

The complication of economic load dispatch (ELD) of an electrical power system can be considered as an optimization problem with constraints to minimize the cost and emission concurrently. The optimization problems with various objectives gain significant momentum and priority with the advancements in renewable energy sources (RESs). Many techniques have been put forward to dispense this issue, but it still remains a challenging one. The existing optimization approaches are accompanied by a slow gathering rate with inferior computational complexity. To augment the ELD performance with renewable resources, in this research, the hybrid wind‐driven water wave optimization (WDWWO) strategy is presented. The effectiveness of the proposed method is validated by the consideration of the IEEE 30‐bus system. The proposed hybrid method is capable of solving convex and non‐convex economic and emission dispatch issues. From the simulation results, it can be seen that, in the case of both PV and wind, the cost analysis of the developed WDWWO model effectuate 21% reduction when compared with wind‐driven optimization (WDO), 23% reduction when compared with water wave optimization (WWO), 40% reduction when compared with modified shuffle leaf algorithm (MSFLA), and 42% reduction when compared with constrained multi‐objective population external optimization technique (COMPEO) under 200 MW. [ABSTRACT FROM AUTHOR]