December 14, 2010—" Modeling and Simulation Aspects of Topological Design of Distributed Resource Islands ."

December 14, 2010 —" Modeling and Simulation Aspects of Topological Design of Distributed Resource Islands  ."

During this presentation, Sid Suryanarayanan of the Department of Electrical and Computer Engineering (ECE), Colorado State University; and Sriram Sankaranarayanan of the Department of Computer Science (CS), University of Colorado, gave an overview on modeling distributed generation. As electric power distribution systems evolve under the Smart Grid Initiative, an optimization problem is defined to simultaneously determine optimal locations for distributed generation (DG) and feeder interties. This is done in a legacy radial distribution system to improve reliability in the islanded mode of operation. An evolutionary approach using the Multi Objective Genetic Algorithm (MOGA) is also formulated. The choice of this algorithmic approach is justified due to the intractability of the problem associated with optimal location of DGs and feeder interties for large distribution systems. During this presentation, the speakers discussed a filtering technique using machine learning (ML) for improving performance by avoiding expensive simulations for potentially suboptimal inputs. The algorithm is applied to a test system, which explores two methods of expressing the load. In both cases, similar satisfactory design solutions are obtained.