TY - GEN
T1 - Control strategies for a decentralized, real-time operation of distribution grids
AU - Drayer, Elisabeth
AU - Meyer, Franziska
AU - Hegemann, Jan
AU - Braun, Martin
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/31
Y1 - 2015/8/31
N2 - Compared to a centralized grid operation management for the distribution grid, a decentralized agent-based operation has many advantages. Two methods that are part of such a grid operation management are presented. Firstly, a method based on Particle Swarm Optimization (PSO) is developed. A suitable fitness function is derived to evaluate possible solutions with respect to their multi-dimensional implication for the situation in the grid, i.e. their effect on the voltage and current profile, reactive power flows, power losses, operating costs as well as complexity. Secondly, different local control strategies are evaluated for their potential as a complementary strategy to the above optimization and as an immediate countermeasure to voltage and frequency violations. It can also function as a fall-back option in case of emergency. For both methods, simulation results for artificial and real grid data are presented that show their successful application.
AB - Compared to a centralized grid operation management for the distribution grid, a decentralized agent-based operation has many advantages. Two methods that are part of such a grid operation management are presented. Firstly, a method based on Particle Swarm Optimization (PSO) is developed. A suitable fitness function is derived to evaluate possible solutions with respect to their multi-dimensional implication for the situation in the grid, i.e. their effect on the voltage and current profile, reactive power flows, power losses, operating costs as well as complexity. Secondly, different local control strategies are evaluated for their potential as a complementary strategy to the above optimization and as an immediate countermeasure to voltage and frequency violations. It can also function as a fall-back option in case of emergency. For both methods, simulation results for artificial and real grid data are presented that show their successful application.
KW - Distribution Grids
KW - Multi-Agent System
KW - Operation Management
KW - Particle Swarm Optimization
UR - http://www.scopus.com/inward/record.url?scp=84951335684&partnerID=8YFLogxK
U2 - 10.1109/PTC.2015.7232749
DO - 10.1109/PTC.2015.7232749
M3 - Conference contribution
AN - SCOPUS:84951335684
T3 - 2015 IEEE Eindhoven PowerTech, PowerTech 2015
BT - 2015 IEEE Eindhoven PowerTech, PowerTech 2015
PB - Institute of Electrical and Electronics Engineers
T2 - IEEE Eindhoven PowerTech, PowerTech 2015
Y2 - 29 June 2015 through 2 July 2015
ER -