Service Oriented Middleware for Smart Grid Resources Optimization

We propose a new Service Oriented Architecture (SOA) for Smart Grid Resource Optimization (SGROM) based three different decision models: analytical, heuristic approach, and multi-criteria approach which allows Smart Grid Constituencies (SGC) such as Power Generators (PG), Power Transporters (PT), Power Distributors (PD), and Power Consumers (PC) to optimize their pay-offs using the smart grid (see figure 1). The proposed resource optimization management methods aim to support power consumers with sustainable energy from power distributors, transparently at the best price on a real time basis (variable pricing). It will also decide automatically for the power distributors the best power generators and connecting transporter lines based on the current power generation and transportation costs, the demand of the distributor, and the maximum power supply from the generator. Both SGROM smart engines analytical, heuristic and multi-criteria decision making aim at optimizing the profits and resource utilization over the whole smart grid. A comparative evaluation study includes simulation experiments of our new technique, as compared to the traditional grid system. Another comparative study will evaluate the three decision model approaches in terms of problem size, computational speed, and quality of the solution.