Multi-Microgrid Architecture: Optimal Operation and Control

Kampezidou, Stella; Vasios, Orestis; Meliopoulos, Sakis

doi:10.1109/naps.2018.8600550

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…The main difference between MMG and single MG is that MMG needs to further consider the coordination strategy in different MGs, because under different control strategies, MMG has different communication network requirement [46][47]. Reasonable strategy design plays a key role in simplifying the control complexity of MMG system and improving the economy of system operation.…”

Section: A Energy Management Strategymentioning

confidence: 99%

A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Zhang

2022

IEEE Access

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Microgrid (MG) is one of the most effective solution to integrate distributed renewable energy into power system. However, modern MG has several technical challenges such as migration to multi vector energy system, increasing renewable energy penetration, and the uncertainties that arise from the large-scale incorporation of renewable energy. Recent development of multi-microgrid (MMG) could potentially mitigate these challenges. MMG has obvious advantages in improving the system stability, reliability, economy, and energy efficiency of power grid operation through autonomous management and coordinated control among networked MGs. In the meantime, uncertainties from many elements and operators in the MMG system also pose huge challenges in modeling. This paper will present and review typical architecture of MMG, including physical layer, information layer and application layer. Moreover, this paper will critically review and analyze challenges in uncertainty modelling and solution in MMGs. Finally, the paper will also discuss future research areas and development trends of MMG.

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Section: A Energy Management Strategymentioning

confidence: 99%

A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Zhang

2022

IEEE Access

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“…The proposed algorithm is intended to run within the MGC architecture, thus enabling a hierarchical/distributed, modular and scalable approach to the problem while complying with the desired plug-and-play characteristic that is intended for this type of system [22]. Under the proposed approach for the scheduling problem, the CAMC does not need to previously hold all the detailed information of the complete MGC network.…”

Section: Sequence Of Events and Communication Flowmentioning

confidence: 99%

“…This stage is intended to compute a feasible solution at the MG level through an OPF-like approach based on Meirinhos et al [23] and similar to those of Sun and Zhang [24], taking into account its internal capabilities for voltage and reactive power support (PV reactive power generation and idle voltage definition at each VSI while also complying with the boundary bus operation point defined at the MV stage. Note that (15) corresponds to the minimisation of active power losses in the MG and it is subjected to the power balance constraints for each node as in (16) and 17, bus voltage constraints in (18) and (19), reactive power constraint in the swing bus (18) and devices technical constraints in (20)- (22). The MG operation state that results from this stage corresponds to the final solution for reactive power and voltage control for the MGC.…”

Section: Mg Stagementioning

confidence: 99%

Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

Castro

Moreira

Carvalho

2019

IET Renewable Power Generation

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This study proposes a hierarchical optimisation strategy for the energy dispatch and volt/var control problem of a photovoltaic-battery microgrid cluster (MGC) operating autonomously. The proposed approach takes advantage of the decentralised control architecture existing in multi-microgrids (MMGs) framework by distributing the management responsibilities between the microgrid central controllers (MGCCs) and the central autonomous management controller (CAMC). In the first stage, the optimisation strategy solves a multi-temporal active power scheduling problem for the MGC based on consumption and generation forecasts. In the second stage, the reactive power and volt/var control are addressed by taking into account the medium-voltage (MV) and low-voltage levels independently. For this purpose, each MGCC computes the V(Q) capability area of operation at the boundary bus with the MV grid. Then, the CAMC performs an optimal power flow at the MV level for each time step, whose results at the boundary bus are considered in the last stage to schedule reactive power at the MGCC level. The effectiveness of the proposed strategy is demonstrated in a cluster of three microgrids. It keeps the modularity, interoperability and scalability characteristics of the MMG concept by clearly defining the roles and the information to be exchanged between the CAMC and the MGCC.

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“…Centralized control and grid management face prohibitively high complexity and inflexibility due to an increasing amount of measurement data and possible control signals, together with their required communication. The microgrid paradigm [4], [5] and more advanced concepts including multi-microgrids [6], web of cells and fractal grids [7] all envision a decentralized and autonomous control of participants, which can then be treated This work was supported by the KIT Future Fields Stage 2 funding program as a single aggregated entity by higher control layers. While these approaches mitigate the control complexity of the future grid, they offer no clear solution on the scalable coordination of available energy supply and flexible demand, together with the management of shared and limited resources, especially line capacities, transformer ratings and energy storage levels.…”

Section: Introductionmentioning

confidence: 99%

Hardware Realization of Participants in an Energy Packet-based Power Grid

Schulz

Schneider

Wesbecher

et al. 2022

2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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The many changes and challenges faced by power grids have generated scientific interest in possible architectures for the next-generation power grid. An emerging approach is the energy packet grid (EP grid), a new paradigm for the power grid that is inspired by selected Internet design principles, in which grid participants exchange energy packets (EPs). We propose a hardware realization of participants in such an EP grid. This realization enables a comprehensive verification of EP concepts and protocols. The present paper discusses the necessary power electronic components together with a signal processing and control architecture. Laboratory measurements show first energy packet transfers and validate the presented concept.

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Multi-Microgrid Architecture: Optimal Operation and Control

Cited by 8 publications

References 13 publications

A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

A Review on Optimal Energy Management of Multimicrogrid System Considering Uncertainties

Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

Hardware Realization of Participants in an Energy Packet-based Power Grid

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