Three-level hierarchical microgrid control—model development and laboratory implementation

Beus, Mateo; Banis, Frederik; Pandžić, Hrvoje; Poulsen, Niels Kjølstad

doi:10.1016/j.epsr.2020.106758

Cited by 15 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Micro-grid can meet the challenge of renewable energy efficiency, user information security and grid operation cost reduction which are difficult to solve in traditional power grid. In recent years, the literature on MG mainly focuses on intelligent control [1], optimal dispatching [2,3] and Alternating Current/Direct Current hybrid [4]. Thereinto, the optimal schedule problem as the basis of power grid operation has attracted the attention of researchers.…”

Section: Introductionmentioning

confidence: 99%

ADMM‐Based Distributed Algorithm for Energy Management in Multi‐Microgrid System

Lou,

Fujimura

2023

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

This article focuses on Energy Management Problem (EMP) in Muti‐microgrid systems. Each microgrid (MG) has four basic equipments including Renewable Generator (RG), Fuel Generator (FG), Storage Device (SD) and Smart Load (SL). In consideration of equipment capacity, confidence interval for forecasts of RG output, supply–demand balance and other factors, an optimization model with the objective of minimizing operation cost was established. Through Lagrange dual problem and variable substitution, we transform the centralized problem into an equivalent distributed form. Then, a completely distributed algorithm based on Alternating Direction Method of Multipliers (ADMM) and Average Consensus (AC) is proposed to attain a global optimal schedule plan. The algorithm overcomes the defect that each microgrid needs to know the total must‐run load in advance. At the same time, the electricity clearing price is related to the objective function through Lagrange dual variables, which can be obtained while the optimal plan is determined. Finally, the simulation verifies the convergence of the algorithm, and the calculated optimal cost is the same as that of the centralized method, ensuring its effectiveness. Besides, the algorithm also has good performance in plug‐and‐play scenarios. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

show abstract

Section: Introductionmentioning

confidence: 99%

ADMM‐Based Distributed Algorithm for Energy Management in Multi‐Microgrid System

Lou,

Fujimura

2023

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

“…The fault control strategy for IIDGs has a decisive impact on the fault characteristics [22]- [24]. Due to the small inertia and fast response of IIDGs [25]- [27], some scholars begin to focus on RMG protection schemes which adjust the IIDG control strategy when a fault occurs in the RMG [28], [29]. Reference [30] proposes a protection scheme in which the IIDG injects the fifth harmonic into the short-circuit current under RMG fault conditions.…”

Section: Introductionmentioning

confidence: 99%

Renewable Microgrid Protection Strategy Coordinating with Current-based Fault Control

Wang

Mu²,

Fang³

2022

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

The renewable microgrid (RMG) is a critical way to organize and utilize new energy. Its control and protection strategies during the fault are the core technologies to ensure the safe operation and stability of the system. The traditional protection principles are unsuitable for RMGs due to the flexibility of RMG operation, the complexity of RMG topology, and the variety of fault control strategies of inverter-interfaced distributed generators (IIDGs). The traditional fault component protection principle is affected by the low voltage ride-through (LVRT) control strategy and will fail in some scenarios. In order to make the fault component protection principle available in every scenario, a current-based fault control strategy is proposed. Specific fault characteristics are generated by the gridfeeding IIDGs during the fault so they can be equivalent to the open circuits, and the fault models in additional network can be simplified. By analyzing the fault characteristics, an RMG protection strategy based on the current-based fault control of IIDGs is presented. The fault directions of feeders can be distinguished and the fault feeder can be located accurately in both grid-connected and islanded RMGs. Then, the grid-feeding IIDGs can transit to LVRT mode smoothly. Thus, IIDGs are considered comprehensively in terms of coordinating with fault control and fault characteristic generation. Finally, the experimental results of the hardware platform prove the effectiveness of the proposed current-based fault control strategy, and the simulation results based on PSCAD/EMTDC verify the correctness of the protection strategy.

show abstract

“…Typically, an aggregator server is required centrally, to co-ordinate the operation of multiple residential devices, as well as interface with the market and other entities [28]. Experimental implementations often rely on SCADA systems and communication protocols such as Modbus and OPC UA, which can sometimes be found in real microgrids, but rarely in residential premises [29]. Real smart grid communications often involve more agile platforms, such as ZigBee and Home Area Networks (HAN), which are used in commercial smart meters [30].…”

Section: Introductionmentioning

confidence: 99%

Experimental testing of a real aggregator system performing rigorous optimal control of electrical and thermal storage

Challen

Jensen

Skarvelis‐Kazakos

2021

Journal of Energy Storage

View full text Add to dashboard Cite

Three-level hierarchical microgrid control—model development and laboratory implementation

Cited by 15 publications

References 17 publications

ADMM‐Based Distributed Algorithm for Energy Management in Multi‐Microgrid System

ADMM‐Based Distributed Algorithm for Energy Management in Multi‐Microgrid System

Renewable Microgrid Protection Strategy Coordinating with Current-based Fault Control

Experimental testing of a real aggregator system performing rigorous optimal control of electrical and thermal storage

Contact Info

Product

Resources

About