Optimal energy management

Harhammer, Peter G.; Schadler, A.

doi:10.1007/bfb0043851

Cited by 3 publications

(7 citation statements)

References 1 publication

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“…Several papers in the selection adapted this type of configuration, e.g., [2,6,17,22,24,27]. ey justify their choice by stating that the DC configuration has more efficiency, less cost, less occupied space, lower lifetime cost, and high reliability [34]. Besides, implementing a DC configuration helps avoiding the frequency violation problem since only voltage stabilization is dealt with.…”

Section: Feed-in-tariff (Fit)mentioning

confidence: 99%

“…Figure 7 shows a general example of such strategies involving three energy supplies: RER as a primary supply, ESS as a second supply, and the utility grid as the backup supply.More complicated strategies can be integrated in the optimal sizing for performing EM. For instance, the authors in [13,26,34] performed a combined sizing and energy scheduling strategy. For a more detailed overview about the optimal sizing/design strategies for μ grids, see [53].…”

Section: Vestment (Roi) From a Customer Perspective Questions Such mentioning

confidence: 99%

“…e tools and algorithms the researchers used to perform the scheduling are detailed in Section 4.2.3. To tackle the problem of RER intermittency, the authors in [23,34] combine a forecasting block with a scheduling strategy. e forecasting block predicts the weather data and the customer demand load.…”

Section: Resource Schedulingmentioning

confidence: 99%

“…More advanced techniques can be incorporated with rule-based approaches for higher efficiency. We cite as examples artificial neural networks (ANN) [33], fuzzy logic [34], and the adoption of multiagent systems (MAS) [35][36][37]44]. e use of the latter technique has garnered much interest lately.…”

Section: Algorithmsmentioning

confidence: 99%

“…e predictions of PV power, wind speed, and load demand are modelled using neural networks in [33]. e authors in [34] applied a heterogeneous ANN composed from an aggregation of MLPNN, radial basis function neural network (RBFNN), and recurrent neural network (RNN) to make an hour-ahead forecasting of load demand and wind power generation and a 24 h ahead forecasting of solar power generation.…”

Section: Forecasting Modelsmentioning

confidence: 99%

See 4 more Smart Citations

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Essayeh

Fenni

Dahmouni

et al. 2021

Journal of Electrical and Computer Engineering

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Having neither precise definition nor a commonly accepted scope, the term “MicroGrid” tends to be used differently across researchers and practitioners alike. The management of energy usage within a microgrid is one of the topics that was handled from numerous perspectives. This study presents systematic literature review (SLR) of research on architectures and energy management techniques for microgrids, providing an aggregated up-to-date catalogue of solutions suggested by the scientific community. The SLR incorporated 45 papers selected according to inclusion/exclusion criteria and defined a priori. The selection process was based on an automated search and covered three known digital libraries. The extraction process covers three main questions. (i) The architectures of microgrids including their components, their bus configuration, and the adopted utility grid policy. (ii) The employed methods to ensure an optimal usage of energy under uncertainty. (iii) The confronted challenges and constraints of the suggested strategies. The findings of this SLR indicate a great diversity of methods and a rich background. Finally, the SLR suggests that future research should take into account the uncertainty aspect relating to energy management rather than the direct use of historical data as it is commonly done in most research papers. A sensitivity analysis should be provided in the latter case.

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Section: Feed-in-tariff (Fit)mentioning

confidence: 99%

Section: Vestment (Roi) From a Customer Perspective Questions Such mentioning

confidence: 99%

Section: Resource Schedulingmentioning

confidence: 99%

Section: Algorithmsmentioning

confidence: 99%

Section: Forecasting Modelsmentioning

confidence: 99%

See 3 more Smart Citations

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Essayeh

Fenni

Dahmouni

et al. 2021

Journal of Electrical and Computer Engineering

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Energy Management System for Microgrids

Prakash

Tomar

Jayalakshmi

et al. 2021

2021 International Conference on Recent Trends on Electronics, Information, Communication &Amp; Technology (RTEICT)

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Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends

et al. 2021

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The topic of microgrids (MGs) is a fast-growing and very promising field of research in terms of energy production quality, pollution reduction and sustainable development. Moreover, MGs are, above all, designed to considerably improve the autonomy, sustainability, and reliability of future electrical distribution grid. At the same time, aspects of MGs energy management, taking into consideration distribution generation systems, energy storage devices, electric vehicles, and consumption components have been widely investigated. Besides, grid architectures including DC, AC, or hybrid power generation systems, energy dispatching problems modelling, operating modes (islanded or grid connected), MGs sizing, simulations and problems solving optimization approaches, and other aspects, have been raised as topics of great interest for both electrical and computer sciences research communities. Furthermore, the United Nations Framework Convention on Climate Change and government policies and incentives have paved the way to massive electric vehicle (EV) deployment. Hence, several research studies have been conducted to investigate the integration of EVs in national power grid and future MGs. Specifically, EV charging stations’ bi-directional power flow control and energy management have been considerably explored. These issues index challenging research topics, which are in most cases still under progress. This paper gives an overview of MGs technology advancement in recent decades, taking into consideration distributed energy generation (DER), energy storage systems (ESS), EVs, and loads. It reviews the main MGs architecture, operating modes, sizing and energy management systems (EMS) and EVs integration.

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Optimal energy management

Cited by 3 publications

References 1 publication

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Energy Management Strategies for Smart Green MicroGrid Systems: A Systematic Literature Review

Energy Management System for Microgrids

Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends

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