Solar‐wind‐hydro‐thermal scheduling using moth flame optimization

Abstract

Ever increasing concern of environmental safeguard makes renewable energy sources (RES) useful for emission reduction as well as for production cost minimization. In this article, the multiobjective economic emission dispatch (EED) model with security constraints incorporating photovoltaic, nonconvex thermal, and wind units is introduced for hydro‐thermal‐solar‐wind power scheduling arrangement. However, the significant reduction of emission is the foremost perspective for environmental sustainability and penetration of RESs into the electrical grid is being encouraged tremendously. To diminish the power generation expenditure and pollution generated by fossil fuels, renewable solar PV and wind power‐oriented hydro‐thermal scheduling have significant worth. Existing algorithms do not perform satisfactorily for unpredicted solar and wind‐based nonlinear hydro‐thermal‐wind‐solar scheduling problems and it may give local optimal solutions instead of global optimal solution. To overcome the shortcomings of the existing algorithms, an effective, and an intelligent robust algorithm, named moth flame optimization (MFO) has been proposed for solving the said nonlinear optimization problem. This article describes a scientific review on the application of the proposed method to obtain the scheduling of optimal generation for hydrothermal systems by incorporating RESs like solar PV and wind plant. Optimal solutions gained by the employment of different optimization methods for a variety of test instances are demonstrated and the projected methods are compared in terms of attained optimal solutions and convergence speed. The proposed MFO algorithm is competent for potential/hopeful outcomes, and it reduces the electrical power generation cost and emission significantly. The simulation outcomes reveal the usefulness and feasibility of the proposed method.

Chaotic‐quasi‐opposition based whale optimization technique applied to multi‐objective complementary scheduling of grid connected hydro‐thermal–wind–solar‐electric vehicle system

“…20 To reduce the cost of generating and emissions, HTS was used with wind energy sources in this scheduling. In order to find the best option for economic generation of electricity and emission reduction, Hazra and Roy 21 further evaluated the MFO approach on a more nonlinear HTS system integrated with solar and wind energy sources. But MFO technique fails to balance between the exploration and the exploitation phases for complex problems.…”

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

“…Therefore, the hybrid approach with micro‐grid system will enhance the performance of the system. Hazra et al 19 had developed solar wind hydrothermal scheduling with the aid of moth flame optimization approach. Here, the multi‐objective ED issues were considered by incorporating PV and wind plant.…”