TY - JOUR
T1 - A Hierarchical Energy Management Strategy for Interconnected Microgrids Considering Uncertainty
AU - Bazmohammadi, Najmeh
AU - Tahsiri, Ahmadreza
AU - Anvari-Moghaddam, Amjad
AU - Guerrero, Josep M.
PY - 2019/7
Y1 - 2019/7
N2 - Coordinating the operation of neighboring microgrids is a promising solution for the problem of growing pe-netration of renewable-based microgrids into the power system. In this paper, a hierarchical stochastic energymanagement system is proposed for operation management of interconnected microgrids. At the upper-level, acentral entity is responsible for coordinating the operation of microgrids. Based on the energy scheduling madeat this level, the power reference values to be exchanged within the microgrids network and between the mi-crogrids and the main grid are calculated and communicated with the local energy management systems. At thelower-level, a decision making approach based on chance-constrained model predictive control is adopted forlocal operation management of each microgrid taking into account different sources of uncertainties. The resultsshow that the proposed strategy provides the microgrids with the opportunity of exploiting maximum availablecapacity in the network. Consequently, the microgrids dependency on the main grid will be reduced and someimportant performance indices such as multi-microgrid system cost and real-time power deviations will beimproved
AB - Coordinating the operation of neighboring microgrids is a promising solution for the problem of growing pe-netration of renewable-based microgrids into the power system. In this paper, a hierarchical stochastic energymanagement system is proposed for operation management of interconnected microgrids. At the upper-level, acentral entity is responsible for coordinating the operation of microgrids. Based on the energy scheduling madeat this level, the power reference values to be exchanged within the microgrids network and between the mi-crogrids and the main grid are calculated and communicated with the local energy management systems. At thelower-level, a decision making approach based on chance-constrained model predictive control is adopted forlocal operation management of each microgrid taking into account different sources of uncertainties. The resultsshow that the proposed strategy provides the microgrids with the opportunity of exploiting maximum availablecapacity in the network. Consequently, the microgrids dependency on the main grid will be reduced and someimportant performance indices such as multi-microgrid system cost and real-time power deviations will beimproved
KW - Uncertainty management
KW - Monte-Carlo algorithm
KW - Energy management
KW - Multi-microgrid system
KW - Chance-constrained model predictive control
UR - http://www.scopus.com/inward/record.url?scp=85062056169&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2019.02.033
DO - 10.1016/j.ijepes.2019.02.033
M3 - Journal article
SN - 0142-0615
VL - 109
SP - 597
EP - 608
JO - International Journal of Electrical Power & Energy Systems
JF - International Journal of Electrical Power & Energy Systems
ER -