TY - JOUR
T1 - Optimal allocation of distributed energy resources through simulation-based optimization
AU - Saif, Ahmed
AU - Ravikumar Pandi, V.
AU - Zeineldin, H. H.
AU - Kennedy, Scott
N1 - Funding Information:
This work was supported by the Masdar Institute, Abu Dhabi, UAE with project number 400060.
PY - 2013
Y1 - 2013
N2 - In this study, a new two-layer simulation-based optimization (SBO) approach is proposed to determine the optimal allocation and capacity of distributed energy resources (DER) in a power distribution system with an imperfect grid connection. In the first layer, a dynamic optimal power flow (DOPF) routine is embedded in a simulation algorithm that is run for each system configuration based on a set of operational rules to calculate the cost and reliability level of the system over one year. In the second layer, a particle swarm optimization (PSO) algorithm uses the outputs of the first layer to optimize the location and capacity of wind turbines, PV panels, and grid-scale batteries, in order to minimize cost while meeting reliability requirements. The proposed approach is tested on a 16-bus U.K. generic distribution system (GDS) under different grid availability conditions, and the results are reported. The merits and limitations of the proposed approach are discussed, and the differences between it and rule-free constrained optimization approaches are highlighted.
AB - In this study, a new two-layer simulation-based optimization (SBO) approach is proposed to determine the optimal allocation and capacity of distributed energy resources (DER) in a power distribution system with an imperfect grid connection. In the first layer, a dynamic optimal power flow (DOPF) routine is embedded in a simulation algorithm that is run for each system configuration based on a set of operational rules to calculate the cost and reliability level of the system over one year. In the second layer, a particle swarm optimization (PSO) algorithm uses the outputs of the first layer to optimize the location and capacity of wind turbines, PV panels, and grid-scale batteries, in order to minimize cost while meeting reliability requirements. The proposed approach is tested on a 16-bus U.K. generic distribution system (GDS) under different grid availability conditions, and the results are reported. The merits and limitations of the proposed approach are discussed, and the differences between it and rule-free constrained optimization approaches are highlighted.
KW - Distributed energy resources
KW - Dynamic optimal power flow
KW - Hybrid power systems
KW - Particle swarm optimization
KW - Simulation-based optimization
UR - http://www.scopus.com/inward/record.url?scp=84880017556&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2013.05.019
DO - 10.1016/j.epsr.2013.05.019
M3 - Article
AN - SCOPUS:84880017556
SN - 0378-7796
VL - 104
SP - 1
EP - 8
JO - Electric Power Systems Research
JF - Electric Power Systems Research
ER -