A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications

Jamal, Saif; Tan, Nadia M. L.; Pasupuleti, Jagadeesh

doi:10.3390/su131810331

Cited by 34 publications

(23 citation statements)

References 109 publications

(108 reference statements)

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“…In particular, the smart grid is expected to implement more distributed generators to solve large transmission loss due to long transmission distances. They will be downscaled into microgrids and nanogrids, which have more connections with multiple voltage levels [ 125 ]. More electrical devices will participate in energy management through the energy market.…”

Section: Further Developments Of Smart Grids and Challenges Of Smart ...mentioning

confidence: 99%

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Chen

Amani

et al. 2023

Sensors

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This paper provides a comprehensive review of the applications of smart meters in the control and optimisation of power grids to support a smooth energy transition towards the renewable energy future. The smart grids become more complicated due to the presence of small-scale low inertia generators and the implementation of electric vehicles (EVs), which are mainly based on intermittent and variable renewable energy resources. Optimal and reliable operation of this environment using conventional model-based approaches is very difficult. Advancements in measurement and communication technologies have brought the opportunity of collecting temporal or real-time data from prosumers through Advanced Metering Infrastructure (AMI). Smart metering brings the potential of applying data-driven algorithms for different power system operations and planning services, such as infrastructure sizing and upgrade and generation forecasting. It can also be used for demand-side management, especially in the presence of new technologies such as EVs, 5G/6G networks and cloud computing. These algorithms face privacy-preserving and cybersecurity challenges that need to be well addressed. This article surveys the state-of-the-art of each of these topics, reviewing applications, challenges and opportunities of using smart meters to address them. It also stipulates the challenges that smart grids present to smart meters and the benefits that smart meters can bring to smart grids. Furthermore, the paper is concluded with some expected future directions and potential research questions for smart meters, smart grids and their interplay.

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Section: Further Developments Of Smart Grids and Challenges Of Smart ...mentioning

confidence: 99%

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Chen

Amani

et al. 2023

Sensors

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show abstract

“…Several approaches are being developed for energy management systems [6][7][8][9]27,28]. The latest one, based on deep reinforced learning, while producing results and being developed in open-sourced frameworks [29][30][31][32] is considered a black-box model [33] and the results are hard to explain, analyze and validate for domain experts.…”

Section: Contributions To Noveltymentioning

confidence: 99%

Usage of GAMS-based Digital Twins and Clustering to Improve Energetic Systems Control

Gronier¹,

Maréchal²,

Geissler³

et al. 2022

Preprint

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With increasing constraints on energy and resource markets and the non-decreasing trend in energy demand, the need for relevant clean energy generation and storage solutions is growing and is gradually reaching the individual home. But small-scale energy storage is still an expensive investment in 2022 and the risk/reward ratio is not yet attractive enough for individual homeowners. One solution is for homeowners not to store excess clean energy individually but to produce hydrogen for mutual use. In this paper a collective production of hydrogen for a daily filling of a bus is considered. Following our previous work on the subject, the investigation consists of finding an optimal buy/sell rule to the grid, and the use of the energy with an additional objective: mobility. The dominant technique in the energy community is reinforcement learning, which is however difficult to use when the learning data is limited as in our study. We chose a less data-intensive and yet technically well-documented approach. Our results show that rulebooks, different but more interesting than the usual robust rule, exist and can be cost-effective. But they require fine-tuning as to not deteriorate system performance. In some cases, it is worth missing the H2 production requirement in exchange for higher economic performance.

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“…Several approaches are being developed for energy management systems [8][9][10][11]30,31]. The latest one, based on deep reinforced learning, while producing results and being developed in open-sourced frameworks [32][33][34][35], is considered a black-box model [36] and the results are hard to explain, analyze, and validate for domain experts.…”

Section: Contributions To Noveltymentioning

confidence: 99%

Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control

Gronier

Maréchal²,

Geissler³

et al. 2022

Energies

View full text Add to dashboard Cite

With the increasing constraints on energy and resource markets and the non-decreasing trend in energy demand, the need for relevant clean energy generation and storage solutions is growing and is gradually reaching the individual home. However, small-scale energy storage is still an expensive investment in 2022 and the risk/reward ratio is not yet attractive enough for individual homeowners. One solution is for homeowners not to store excess clean energy individually but to produce hydrogen for mutual use. In this paper, a collective production of hydrogen for a daily filling of a bus is considered. Following our previous work on the subject, the investigation consists of finding an optimal buy/sell rule to the grid, and the use of the energy with an additional objective: mobility. The dominant technique in the energy community is reinforcement learning, which however is difficult to use when the learning data is limited, as in our study. We chose a less data-intensive and yet technically well-documented approach. Our results show that rulebooks, different but more interesting than the usual robust rule, exist and can be cost-effective. In some cases, they even show that it is worth punctually missing the H2 production requirement in exchange for higher economic performance. However, they require fine-tuning as to not deteriorate the system performance.

show abstract

A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications

Cited by 34 publications

References 109 publications

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Control and Optimisation of Power Grids Using Smart Meter Data: A Review

Usage of GAMS-based Digital Twins and Clustering to Improve Energetic Systems Control

Usage of GAMS-Based Digital Twins and Clustering to Improve Energetic Systems Control

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