Energy Exchange Management in Smart Grids Using a Knapsack Problem Inspired Approach

In the context of energy management in distributed energy systems, different studies with various approaches have been carried out. This paper proposes a new and simple method to set rational energy trading preferences among microgrids inside an electrical network. To achieve this objective, a framework inspired from the famous optimization Knapsack problem is developed to model the multiobjective function of energy buyers, then a Greedy algorithm is used in the solving process. The efficiency of the suggested method has been tested through simulations.