Title :
Intelligent distribution planning and control incorporating microgrids
Author :
Wishart, Michael T. ; Dewadasa, Manjula ; Ziari, Iman ; Ledwich, Gerard ; Ghosh, Arindam
Author_Institution :
Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
This paper proposes a comprehensive approach to the planning of distribution networks and the control of microgrids. Firstly, a Modified Discrete Particle Swarm Optimization (MDPSO) method is used to optimally plan a distribution system upgrade over a 20 year planning period. The optimization is conducted at different load levels according to the anticipated load duration curve and integrated over the system lifetime in order to minimize its total lifetime cost. Since the optimal solution contains Distributed Generators (DGs) to maximize reliability, the DG must be able to operate in islanded mode and this leads to the concept of microgrids. Thus the second part of the paper reviews some of the challenges of microgrid control in the presence of both inertial (rotating direct connected) and non-inertial (converter interfaced) DGs. More specifically enhanced control strategies based on frequency droop are proposed for DGs to improve the smooth synchronization and real power sharing minimizing transient oscillations in the microgrid. Simulation studies are presented to show the effectiveness of the control.
Keywords :
distributed power generation; intelligent control; particle swarm optimisation; power distribution control; power distribution planning; power distribution reliability; power grids; DG; MDPSO method; anticipated load duration curve; distributed generators; frequency droop; intelligent distribution control; intelligent distribution network planning; lifetime cost; microgrid control; modified discrete particle swarm optimization method; power sharing; reliability maximization; transient oscillation minimization; Frequency control; Oscillators; Planning; Reliability; Steady-state; Transient analysis; Voltage control; Microgrid; intelligent control; power system planning & control;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039863