الفهرس 
The Smart Grid Framework and Vision
Smart Distribution Systems Literature ReviewOnly 14 pages are availabe for public view
 |  | from | 217 |  |  |
| | | from | 217 | | |
Abstract
This dissertation discusses changing the Distribution System (DS) topology and re-planning it under Smart Grid (SG) framework. The purpose of this research work is to resolve some of the problems required to change the topology of the DS aiming towards re-planning the DS from its existing topology to the open loop topology as the foundation of the DS modernization techniques. As part of the SG framework, Contingency re-planning has been considered using redevelopment of the mathematical model including development of a new Contingency Index (CONDEX) in addition to the Cost Index (COSTINDEX). A hierarchical SG framework is presented with emphasis on the building foundation which is the planning aspect of SGs. Multiple topologies are presented with a comparison of the advantage and the disadvantage of each topology.
The mathematical model has been rebuilt with a new combined multi-objective formula, minimizing the system expansion Capital Costs, Operations and Maintenance (OM) costs and achieving the best combined performance measure consisting of a combination of Reliability, Resiliency and Vulnerability. A new practical weighted combined system contingency index is applied and tested to be used by utilities replacing the common simple reliability indices. The new model uses the application of multi-objective optimization utilizing integer design variables, which include a combination of multiple logical and technical constraints to provide the best description of the real existing system constraints.
In addition to the new CONDEX, new iterative algorithms and approaches are proposed to form the constraints of the problem. Several algorithms are presented, discussed and compared aiming to simplify the problem and represent real life systems. Some constraint algorithms are discussed in details covering common techniques and proposing new techniques for the same goal.
To apply the new proposed SG mathematical model, three basic planning problems are being presented and resolved. These problems are: The Distribution System Expansion (DSE) Problem, the Switch Allocation (SA) Problem and the Distribution System Reconfiguration (DSR) Problem. An overview study of common DS protection strategy aspects is also provided with some highlights of new industry trends in the field of open loop high speed protection systems suitable for modern DSs.
The proposed SG model was applied to multiple standard and modified DS test cases including a system from real life applications. Results obtained from the application of the SG model to the three problems on standard DSs, demonstrate improvements in the objectives satisfying all constraints and utilizing the proposed model including the proposed new constraint algorithms.
The solution technique followed in solving the stated three problems is the Genetic Algorithm. This algorithm was chosen due to its readiness with default parameters within the solution software. The dissertation also provides conclusions and recommendations for future work.