Pokharel, Keshav, Mokhtar, Maizura and Howe, Joe
A Multi-Objective Planning Framework for Optimal Integration of Distributed Generations.
In: Third IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference, 14 - 17 October 2012, Berlin University of Technology (TU Berlin), Berlin, Germany.
This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions, and maximizing the benefits from the DG over a 20 years planning horizon. The method assesses the fault current constraint imposed on the distribution network by the existing and new DG in order not to violate the short circuit capacity of existing switchgear. The analysis utilizes one of the highly regarded evolutionary algorithm, the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for multi-objective optimization and MATPOWER for solving the optimal power flow problems.
Conference or Workshop Item (Paper)
Uncontrolled Keywords (separate with ;):
multi-objective evolutionary algorithm; strength pareto evolutionary algorithm 2; distributed generation; distribution generation planning; three phase symmetrical fault