Title :
A new method of Evolutionary programming in DG planning
Author_Institution :
Islamic Azad Univ., Tehran, Iran
Abstract :
Smart grid is a relatively new term that refers to the application of information technology to power systems. Due to the complexity of such systems, the possibilities have yet to be clearly defined. Smart Grid will be a new way to the development of the power network. In the development of Smart Grid, how to integrate the Renewable Energy and the Distributed Generation (DG) safely and reliably is a problem urgent to be solved. Siting and sizing of DG planning in Smart Grid construction are researched in this paper. A multi-objective optimal model is established and normalized in the DG number, location and individual capacity of uncertainty. The improved Evolutionary programming is used to solve this optimization problem. Finally, the validity of the method proposed in the paper is proved by an example.
Keywords :
distributed power generation; evolutionary computation; power system planning; smart power grids; DG planning; distributed generation; evolutionary programming; information technology; multiobjective optimal model; optimization problem; power network; power systems; renewable energy; smart grid construction; Distributed power generation; Optimization; Programming; Reactive power; Reliability; Smart grids; Evolutionary programming; distribution generation; siting and sizing; smart grid;
Conference_Titel :
Energy, Automation, and Signal (ICEAS), 2011 International Conference on
Conference_Location :
Bhubaneswar, Odisha
Print_ISBN :
978-1-4673-0137-4
DOI :
10.1109/ICEAS.2011.6147215
