This invention relates generally to the field of decision, uncertainty, and optimization analysis, and more particularly, to a system and method for optimizing decisions regarding a system of assets in the presence of uncertainty.

The MicroGrid structure assumes an aggregation of loads and microsources operating as a single system providing both power and heat. The majority of the microsources must be power electronic based to provide the required flexibility to insure controlled operation as a single aggregated system.

The paper is focused on the development of a novel Energy Management System (EMS) based on the application of Neural Networks (NN). The EMS is able to autonomously make decisions and determine hour by hour the correct dispatch of generators with the final goal of minimizing the global energy costs.

The purpose of the Energy Management System is to make decisions regarding the best use of the generators for producing electric power and heat. These decisions will be based upon the heat requirements of the local equipment, the weather, the price of electric power, the cost of fuel and many other considerations. The EMS will dispatch the generators and provide an overview of the Combined Heat and Power system.

The present invention is directed to a power-grid infrastructure for energy as well as methods for efficiently distributing the energy with in the infrastructure that rely on a decentralized approach and hte use of intelligent agents to faciliate the communication between different levels of the infrastructure as well as the distribution of the energy across the actual electrical couplings within the infrastructure.