Profit-based optimal generation scheduling of a microgrid

• Main Authors: Muhamad Razali N.M., Hashim A.H.
• Other Authors: 36440450000
• Format: Conference paper
• Published: 2023
• Subjects: Generation scheduling; Genetic algorithm; Microgrid; Optimization; Decision making; Genetic algorithms; Profitability; Scheduling algorithms; Turbines; Wind power; Autonomous decision; Distributed Generation; Grid-connected; Islanded operation; Micro grid; Micro turbine; Objective functions; Optimal dispatch; Optimal generation; Optimization problems; Photovoltaic arrays; System constraints; Tropical conditions; Mesh generation

The paper proposes a formulation for profit-based optimal generation scheduling by a microgrid (?grid). Current methods normally assume either islanded operation, or utilitygrid connected ?grid but lacking in market participation elements. The paper addresses this gap whereby the formulated objective function allows for autonomous decision-making to determine the hour by hour optimal dispatch of generators subject to system constraints including market parameters. The distributed generations in the modelled ?grid consist of wind turbines, microturbines and photovoltaic arrays while the system inputs are based on tropical conditions. A case study on the difference between grid-connected and islanded operation is presented. The results demonstrate the efficiency of using genetic algorithm to solve the optimization problem. �2010 IEEE.