Optimal dispatch using moth‐flame optimization for hydro‐thermal‐wind scheduling problem
Sunanda Hazra, Provas Kumar Roy
Abstract
A proficient algorithm, based on the moth-flame optimization (MFO), is founded for solving economic and emission dispatch for hydro-thermal-wind (HTW) scheduling problem. The renewable wind power associated with hydropower-integrated thermal power plant is a non-linear, non-convex optimization problem due to water discharge rate, hydraulic continuity constraint, reservoir storage limits, variable wind speed, scheduling time linkage, water transport delay, power balance constraints, as well as operation limits of renewable wind units. A renewable wind power-oriented multi-objective hydro-thermal scheduling has significant value to trim down the power generation cost and emission. The usefulness of the projected method is verified on two case studies. In the most recent literature, the statistical outcomes of the applied MFO algorithm are compared with others evolutionary optimization. It is also observed that the proposed MFO method is skillful for developing hopeful outcomes and for significantly reducing the computation time.