Aggregated Energy Management of Multiple Factories that Purchased Green Energy Collectively

Abstract

Conference Title: 2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Conference Start Date: 2024, June 17

Conference End Date: 2024, June 20

Conference Location: Rome, Italy

This paper proposes an aggregated energy management of multiple factories that purchased green energy collectively. These factories purchase green energy collectively to get a better price. The green energy is procured for each time step throughout the consumption day in a day ahead manner. On the consumption day, the green energy provider feeds green energy into the power grid at each time step, following the quantities that were purchased for those specific time intervals. The aggregated energy management system optimally dispatches the electrical power of the factories in an aggregated manner based on the purchased green energy profiles to maximize the consumption of the purchased green energy. A mixed integer linear programming (MILP) formulation is developed to carry out the aggregated energy management. To overcome the high computation time associated with conventional MILP, a linear programming relaxation technique is employed. This technique relaxes the binary variables, allowing them to take any value between 0 and 1, which enables the optimization problem to be solved in a very short time. After solving the optimization problem, the values of the variables are corrected back to binary values using a delicate method to ensure the feasibility of the solution.