2020
DOI: 10.1016/j.ijepes.2020.106134
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A hierarchical energy management system for islanded multi-microgrid clusters considering frequency security constraints

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Cited by 63 publications
(33 citation statements)
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“…A UCP has been considered for spinning and non-spinning reserve scheduling, taking into consideration frequency excursion minimization to acceptable levels [91,92,[165][166][167][168]. The optimal charge and discharge rates for distributed ESS with different types and sizes have been determined [87]; the latter dispatch study has utilized the existence of multiple charging stations for electric vehicles (EV) to handle the intermittent nature of renewable generation in DCIMG.…”
Section: Scheduling and Dispatch Problemmentioning
confidence: 99%
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“…A UCP has been considered for spinning and non-spinning reserve scheduling, taking into consideration frequency excursion minimization to acceptable levels [91,92,[165][166][167][168]. The optimal charge and discharge rates for distributed ESS with different types and sizes have been determined [87]; the latter dispatch study has utilized the existence of multiple charging stations for electric vehicles (EV) to handle the intermittent nature of renewable generation in DCIMG.…”
Section: Scheduling and Dispatch Problemmentioning
confidence: 99%
“…Control problems combined with dispatch and scheduling problems form the bases for optimal EMS problems, which are responsible for implementing the hierarchal control strategy of DCIMG. Therefore, solving an EMS problem acts as a buffer to serve a variety of technical [33,35,54,59,85,91,92,117,134,148,154,[163][164][165][166], economic [28][29][30][75][76][77][78][79][80][81]84,85,91,[124][125][126][127][128][129][130][131][132][133]135,144,145,[148][149][150][151]167,168], and environmental [84,…”
Section: Control and Ems Problemmentioning
confidence: 99%
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“…The data obtained can be utilized for the optimal schedule of operation, taking into consideration objectives such as cost minimization, power quality maximization, etc. In the literature, a great variety of hierarchical control architectures (i.e., including tertiary, secondary and primary control) is observed, including the implementation of economic dispatch algorithms, reduction in CO 2 emissions, model predictive control (MPC) or even deep learning (DL) and deep reinforcement learning (DRL), for both normal operation and treatment of special challenges [70][71][72][73].…”
mentioning
confidence: 99%