Title :
Optimal Allocation of Embedded Generation on Distribution Networks
Author :
Keane, Andrew ; O´Malley, Mark
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. Dublin, Ireland
Abstract :
As a result of the restructuring of electricity markets and the targets laid down for renewable energy, increasing amounts of embedded generation (EG) are being connected to distribution networks. To accommodate this new type of generation, the existing distribution network should be utilized and developed in an optimal manner. This paper explains the background to the technical constraints faced by EG projects, and a new methodology is developed using linear programming to determine the optimal allocation of EG with respect to these constraints. The methodology is implemented and tested on a section of the Irish distribution network. Results are presented, demonstrating that the proper placement and sizing of EG is crucial to the accommodation of increasing levels of EG on distribution networks.
Keywords :
distributed power generation; linear programming; power distribution economics; power markets; Irish distribution network; distribution networks; electricity markets restructuring; embedded generation; linear programming; optimal allocation; renewable energy; Circuits; Distributed power generation; Electricity supply industry; Investments; Linear programming; Power distribution; Power generation; Renewable energy resources; Testing; Voltage; Dispersed storage and generation; linear programming; power distribution planning;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.852115