Abhatoo - Centre Nationale de Documentation

The current electricity grids will experience a profound change in the coming years. The new generation is the SG which is characterized by information and communication layer enabling the communication between the different components of the grid. It needs to consider all sides of power grid, making it more intelligent and flexible. This notion is presented as an answer to changes in the electricity market, aiming to manage the increased demand while ensuring a better quality of service and more safety.
First, we present a MILP formulation to optimize the energy production and consumption systems in a smart home with an effective deployment of several DER. Then through the design of experiments with the Taguchi method, diverse scenarios are introduced by varying significant factors. Afterward, a heuristic technique is proposed to solve the problem of residential energy management by finding the global optimum solution for many consecutive days with significant reduction of execution time.
Second, an energy management model is proposed thanks to mathematical models to optimize the grid, renewable energy resources, battery and EVs are presented as well as for different type of thermal and electrical appliances. An exact solution method is implemented to reduce the electricity cost in a smart home and find out operation modes of different loads. Then a math-heuristic optimization algorithm is proposed to solve the problem with extended simulation time horizon.
Finally, we study a microgrid energy management problem which comprises multiple smart homes. Each of them owns renewable energy resources, one EV and smart appliances. The renewable energy resources inject the excess energy in the shared ESS. An optimized energy
management model using MILP is proposed to reduce the total electricity cost in the microgrid. Comparisons with conventional scenarios where each smart home has its individual small ESS without sharing energy with their neighbors are done to ensure that the proposed formulation is well efficient.