Economic and Environmental Energy Scheduling of Smart Hybrid Micro Grid Based on Demand Response

Micro grids have gained significant recognition as crucial components of distribution networks, responsible for generating electrical energy at a local level.These self-contained systems are capable of operating independently or in conjunction with the main power grid, providing numerous advantages for both consumers and utilities.One of the key advantages of microgrids is their effortless management.Unlike traditional centralized power grids, microgrids can be easily controlled and monitored due to their smaller size and localized nature.This allows for more efficient energy management, as operators can closely monitor and adjust the generation, distribution, and consumption of electricity within the microgrid.By having a clear understanding of the energy demand and supply within the system, operators can optimize the use of resources and ensure a more reliable and stable power supply.The proposed model in this research focuses on optimizing economic and emission factors in relation to the main grid mode, utilizing a short-term operational approach with optimal units and real-time pricing (RTP) strategy.The study incorporates a multiobjective function for operating costs and emissions using the augmented -constraint method, along with fuzzy decision-making techniques to achieve the best solution.Furthermore, the microgrid includes interruptible and shiftable loads that can engage in demand response initiatives, leading to an evaluation of the results based on various demand response programs.