Multi Objective Scheduling of CHP based Microgrid Using Manta Ray Optimization Technique

Abstract

: With the introduction of concept of sustainable development for different applications, combined heat and power system became very important due to reliability, economical aspects, saving in energy and saving of environment. Here a model is taken for economic load scheduling, CHP system with a micro grid fuel cell, wind energy, solar energy, heat boiler (waste heat), and loads which includes thermal and electrical. An optimal model with nonlinearity is taken which deals with the economical operating condition of all the power sources used and formulate the heat demand along with the electrical demand for one day (24 hours) forecasted values of all the types of power generating sources is taken in to consideration. Manta Ray foraging optimization technique is suggested for the optimization and compared with other techniques also. This Model is tested without peak valley pricing for different type of optimization algorithm. After comparing the results of different optimization method, it is clear that the result produced by MRFO are better than other method and the costing of the system is improved. From convergence graph, it can be seen that the MRFO technique demonstrates a faster convergence rate towards reaching the minimum cost of the objective function compared to other optimization techniques. As it iteratively progresses through the optimization process, MRFO efficiently approaches the optimal solution, which is the desired minimum cost. This efficiency translates to the technique requiring fewer iterations to achieve the desired outcome. Since MRFO achieves the desired outcome with fewer iterations, it reduces the overall computational workload and resource requirements compared to slower converging optimization methods.