Control of Power Converters in AC Microgrids

Castilla, Miguel; Vicuña, Luis García de; Miret, Jaume

doi:10.1007/978-3-319-98687-6_5

Cited by 22 publications

(22 citation statements)

References 26 publications

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“…In residential energy generation systems, electronic power converters have been widely adopted to manage rooftop solar and small wind power systems, which can be combined to maximize power extraction under all conditions (i.e., maximum power point tracking) [16]. These power converters need to be calibrated with reference to their intended use context (e.g., building type, RES, and ESS integration) to achieve an optimal configuration [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid

2020

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Home energy management systems (HEMSs) help manage electricity demand to optimize energy consumption and distributed renewable energy generation without compromising consumers' comfort. HEMSs operate according to multiple criteria, including energy cost, weather conditions, load profiles, and consumer comfort. They play an increasingly ubiquitous role in energy efficiency through the reduction of electricity consumption within residential and commercial smart grids. This paper presents a comprehensive review of the HEMS literature with reference to main concepts, configurations, and enabling technologies. In doing so, it also provides a summary of HEMS computing trends and popular communication technologies for demand response applications. The ensuing survey offers the reader with an overall overview of current and future trends in HEMS solutions and technologies. INDEX TERMS Home energy management system, demand response, smart technologies, integrated wireless technology, intelligent scheduling controller. I.

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Section: Introductionmentioning

confidence: 99%

Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid

2020

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“…The isolated MGs-cluster requires a robust frequency regulation that depends on the three-level hierarchical energy management system, i.e., primary, secondary, and tertiary control level (Pinzón et al, 2018). The primary control level is focused on the automatic voltage and frequency control of the inverter-interfaced DERs (IIDERs) (Castilla et al, 2019). For secondary control, researchers have implemented the droop-based control method to model the frequency security in energy management (EM) problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Isolated Micro-Grids-cluster Via Coalitional Energy Scheduling and Reserve Sharing

et al. 2021

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Microgrids (MG) cluster are isolated from the utility grid but they have the potential to achieve better techno-economic performance by using joint energy and reserve sharing among MGs. This paper proposes a techno-economic framework for the optimal operation of isolated MGs-cluster by scheduling cooperative energy sharing and real-time reserve sharing for ancillary services based on the cooperative game theory. In the day-ahead scheduling, a coalitional sharing scheme is formulated as an adjustable robust optimization (ARO) problem to optimally schedule the energy and reserves of distributed generators (DGs) and energy storage systems (ESSs), thereby responding to the uncertainties of photovoltaic systems, wind turbines, and loads. These uncertainties are the main reason for power system imbalance which is mitigated by regulating the frequency in real-time and a dynamic droop control process is used to realize the reserves in a distributed manner. This control process is embedded into the ARO problem, which is formulated as an affine ARO problem and then transformed into a deterministic optimization problem that is solved by off-shore solvers Apart from the reduction in the operation cost, the frequency restoration can be improved jointly, resulting in the coupled techno-economic contribution of the MGs in the coalition. The contribution of each MG is quantified using shapely value, a cooperative game approach. Simulations are conducted for a case study with 4 MGs and the results demonstrate the merits of the proposed cooperative scheduling scheme.

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“…Distributed Generation (DG) utilized in MGs is pretty common nowadays. DGs like solar, wind, and Combined Heat Power (CHP), that are attached to Grid Connected Mode (GCM) or Islanded Mode (IM) protocols with connecting loads have many advantages over the traditional grid [1][2]. Although the MGs provide an alternative with bidirectional communication, there are some control issues, particularly regarding power, voltage, and frequency deviations that may occur when the MG changes its operational mode from GCM to IM [3][4].…”

Section: Introductionmentioning

confidence: 99%

Seamless Transition between Islanded and Grid Connected Three-Phase VSI-based Microgrids

Khan

Pathan

Asad

et al. 2021

Eng. Technol. Appl. Sci. Res.

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Microgrids (MGs) are the emergent solution to overcome the current electricity demand. The MGs provide the facility to operate in both isolated and grid-connected modes. For both operating modes, Distributed Generation (DG) inverters are operating under grid forming or grid following control modes. During mode switching, the MG experiences enormous fluctuations, which occur due to the unidirectional islanding event. This paper presents a control strategy by using the modified power control scheme, current controller, and DC linked voltage controller scheme to ensure the operational mode transfer smoothly from the grid-connected to the islanded mode and vice versa. The proposed control scheme is applied to a three-phase distributed energy resource-based MG system with fixed loads. The simulation results validate the effectiveness of the control technique while tested at the point of common coupling and also at the time of mode transfer.

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Control of Power Converters in AC Microgrids

Cited by 22 publications

References 26 publications

Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid

Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid

Optimal Operation of Isolated Micro-Grids-cluster Via Coalitional Energy Scheduling and Reserve Sharing

Seamless Transition between Islanded and Grid Connected Three-Phase VSI-based Microgrids

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