TY - JOUR
T1 - Intelligent coordination method of multiple distributed resources for harmonic current compensation in a microgrid
AU - Kang, Hyun Koo
AU - Yoo, Choel Hee
AU - Chung, Il Yop
AU - Won, Dong Jun
AU - Moon, Seung Il
PY - 2012/11
Y1 - 2012/11
N2 - Nonlinear electronic loads draw harmonic currents from the power grids that can cause energy loss, miss-operation of power equipment, and other serious problems in the power grids. This paper proposes a harmonic compensation method using multiple distributed resources (DRs) such as small distributed generators (DGs) and battery energy storage systems (BESSs) that are integrated to the power grids through power inverters. For harmonic compensation, DRs should inject additional apparent power to the grids so that certain DRs, especially operated in proximity to their rated power, may possibly reach their maximum current limits. Therefore, intelligent coordination methods of multiple DRs are required for efficient harmonic current compensation considering the power margins of DRs, energy cost, and the battery state-of-charge. The proposed method is based on fuzzy multiobjective optimization so that DRs can cooperate with other DRs to eliminate harmonic currents with optimizing mutually conflicting multi-objectives.
AB - Nonlinear electronic loads draw harmonic currents from the power grids that can cause energy loss, miss-operation of power equipment, and other serious problems in the power grids. This paper proposes a harmonic compensation method using multiple distributed resources (DRs) such as small distributed generators (DGs) and battery energy storage systems (BESSs) that are integrated to the power grids through power inverters. For harmonic compensation, DRs should inject additional apparent power to the grids so that certain DRs, especially operated in proximity to their rated power, may possibly reach their maximum current limits. Therefore, intelligent coordination methods of multiple DRs are required for efficient harmonic current compensation considering the power margins of DRs, energy cost, and the battery state-of-charge. The proposed method is based on fuzzy multiobjective optimization so that DRs can cooperate with other DRs to eliminate harmonic currents with optimizing mutually conflicting multi-objectives.
KW - Harmonic compensation
KW - Microgrid
KW - Multi-objective optimization
KW - Multiple distributed resources control
UR - http://www.scopus.com/inward/record.url?scp=84868350356&partnerID=8YFLogxK
U2 - 10.5370/JEET.2012.7.6.834
DO - 10.5370/JEET.2012.7.6.834
M3 - Article
AN - SCOPUS:84868350356
SN - 1975-0102
VL - 7
SP - 834
EP - 844
JO - Journal of Electrical Engineering and Technology
JF - Journal of Electrical Engineering and Technology
IS - 6
ER -