Energy management system, generation and demand predictors: a review

Rafique, Syed Furqan; Zhang, Jianhua

doi:10.1049/iet-gtd.2017.0354

Cited by 77 publications

(39 citation statements)

References 112 publications

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“…To address these challenges, a spinning reserve becomes an essential part of a microgrid as an energy buffer to relieve fluctuations. However, it increases the monetary and related administration costs which lead to less motivation for investing in a microgrid-related infrastructure [250]. Therefore, to obtain precise estimations of the levels of power generation and demand, from a few minutes to a few days, a forecasting method for scheduling a microgrid's devices, as shown in Figure 9, is essential for achieving a cost-effective and reliable operation.…”

Section: Challenges Of Microgridsmentioning

confidence: 99%

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Hossain¹,

Pota²,

Hossain³

et al. 2018

Preprint

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Although microgrids facilitate the increased penetration of distributed generations (DGs) and improve the security of power supplies, they have some issues that need to be better understood and addressed before realising the full potential of microgrids. This paper presents a comprehensive list of challenges and opportunities supported by a literature review on the evolution of converter-based microgrids. The discussion in this paper presented with a view to establishing microgrids as distinct from the existing distribution systems. This is accomplished by, firstly, describing the challenges and benefits of using DG units in a distribution network and then those of microgrid ones. Also, the definitions, classifications and characteristics of microgrids are revised according to their specific roles to provide a sound basis for novice researchers to undertake ongoing research on microgrids.

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Section: Challenges Of Microgridsmentioning

confidence: 99%

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Hossain¹,

Pota²,

Hossain³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…The EMS optimization criterion can be satisfied by using a number of optimization algorithms [5,103,107], which can be carried out in advance and/or in real-time depending on the kind of services to provide [108]. The most important optimization algorithms are summed up in Table 1; each of these presents advantages and drawbacks, thus its employment is strictly related to the specific optimization criterion and inherent features of the system to optimize.…”

Section: Energy Management Systems For Distributed Energy Resourcesmentioning

confidence: 99%

Multidisciplinary Approach for the Development of Smart Distribution Networks

Ghiani¹,

Serpi²,

Pilloni³

et al. 2018

Preprint

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Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such evolution is pushing for a paradigm shift: the management must move from traditional planning and manual intervention to full "smartization" of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system that includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks.

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“…The residential DR programs in HEMS are compared, and applications of artificial intelligence for load scheduling in HEMS are also discussed. Rafique and Jianhua presented review on the EMS, generation, and demand predictors, with critical reviews on primary and secondary control of microgrid including forecasting techniques for wind, solar, and load. Poompavai and Kowsalya presented a review study on energy management strategies applicable for PV and wind‐fed water pumping system, but uncertainties associated with PV and wind generation are not addressed in the paper.…”

Section: Introductionmentioning

confidence: 99%

Energy management system for smart grid: An overview and key issues

2020

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Summary Energy crisis and the global impetus to “go green” have encouraged the integration of renewable energy resources, plug‐in electric vehicles, and energy storage systems to the grid. The presence of more than one energy source in the grid necessitates the need for an efficient energy management system to guide the flow of energy. Moreover, the variability and volatile nature of renewable energy sources, uncertainties associated with plug‐in electric vehicles, the electricity price, and the time‐varying load bring new challenges to the power engineers to achieve demand‐supply balance for stable operation of the power system. The energy management system can effectively coordinate the energy sharing/trading among all available energy resources, and supply loads economically in all the conditions for the reliable, secure, and efficient operation of the power system. This paper reviews the framework, objectives, architecture, benefits, and challenges of the energy management system with a comprehensive analysis of different stakeholders and participants involved in it. The review paper gives a critical analysis of the distributed energy resources behavior and different programs such as demand response, demand‐side management, and power quality management implemented in the energy management system. Different uncertainty quantification methods are also summarized. This review paper also presents a comparative and critical analysis of the main optimization techniques used to achieve different energy management system objectives while satisfying multiple constraints. Thus, the review offers numerous recommendations for research and development of the cutting‐edge optimized energy management system applicable for homes, buildings, industries, electric vehicles, and the whole community.

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Energy management system, generation and demand predictors: a review

Cited by 77 publications

References 112 publications

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Multidisciplinary Approach for the Development of Smart Distribution Networks

Energy management system for smart grid: An overview and key issues

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