A Hierarchical Energy Management Strategy for Interconnected Microgrids Considering Uncertainty

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Resumé

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
OriginalsprogEngelsk
TidsskriftInternational Journal of Electrical Power & Energy Systems
Vol/bind109
Sider (fra-til)597-608
Antal sider12
ISSN0142-0615
DOI
StatusUdgivet - jul. 2019

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Energy management
Energy management systems
Model predictive control
Decision making
Scheduling
Costs
Uncertainty

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title = "A Hierarchical Energy Management Strategy for Interconnected Microgrids Considering Uncertainty",
abstract = "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",
keywords = "Uncertainty management, Monte-Carlo algorithm, Energy management, Multi-microgrid system, Chance-constrained model predictive control",
author = "Najmeh Bazmohammadi and Ahmadreza Tahsiri and Amjad Anvari-Moghaddam and Guerrero, {Josep M.}",
year = "2019",
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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

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JF - International Journal of Electrical Power & Energy Systems

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