Energy management system of microgrid: Control schemes, pricing techniques, and future horizons

Touma, Haider Jouma; Mansor, Muhamad; Rahman, Mahbubur; Kumaran, Vigna; Mokhlis, Hazlie; Yong, Jia Ying; Hannan, M. A.

doi:10.1002/er.6714

Cited by 23 publications

(6 citation statements)

References 67 publications

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“…Touma et al [17] reviewed demand-side management systems, particularly pricing techniques, as a part of a control system of MGs. They identified shortcomings in current researches concerning demand-side management and highlighted future research horizons.…”

Section: Related Workmentioning

confidence: 99%

“…In a classical RTM, the intensity of the stimulus depends on the execution of the task. N act is the number of active individuals, N is the number of individuals in the colony, α is a scale efficiency factor to perform the task, and δ is to increase the intensity of the stimulus per unit of time [17]. Also, the response threshold increases when the corresponding task is not performed and decreases when it is performed [24] according to the next equation:…”

Section: A Response Threshold Model (Rtm)mentioning

confidence: 99%

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A Bioinspired Emergent Control for Smart Grids

Medina

Aguilar²,

R-Moreno³

2023

IEEE Access

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Satisfying energy demand has become a global problem that is on the rise due to population growth, infrastructure deterioration, a decline in fossil fuel sources, and high costs for investment, among others. Smart grids, in addition to those challenges that they have at the level of energy generation, have other management challenges derived from the great diversity of components that make them up, such as energy storage systems (batteries, capacitors, etc.), the different types of consumers (controllable, noncontrollable loads) and prosumers (electric vehicles, self-sustaining buildings, micro-grid, etc.), among others. Consequently, a distributed control problem is presented, mainly oriented to the coordination of its components. A possible solution is to achieve the participation of each component when conditions are more favorable, such as prioritizing production with renewable energy sources, or taking advantage of prosumers so that they can meet local demand, among other things. Therefore, new strategies with a distributed approach such as bio-inspired emergent controls are necessary. The objective of this work is the specification of an emergent control approach to coordinate a smart grid. This approach allows the coordination of the energy supply in various operating scenarios. The results obtained demonstrate a perfect synchronization between the different smart grid components (agents), prioritizing renewable energy sources, regardless of the operational context (for example, in cases of failures, unsuitable environmental conditions, etc.).

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Section: Related Workmentioning

confidence: 99%

Section: A Response Threshold Model (Rtm)mentioning

confidence: 99%

A Bioinspired Emergent Control for Smart Grids

Medina

Aguilar²,

R-Moreno³

2023

IEEE Access

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“…Critical peak pricing is a dynamic way of applying prices via a TOU scheme when shortage conditions are detected in the electrical system. In this case, users have to pay higher prices if there is no generation or if events disconnect grid elements [52]. As indicated above, CPP is a variant of the TOU scheme that expresses the volatility of peak prices in the electricity market.…”

Section: Critical Peak Pricing (Cpp)mentioning

confidence: 99%

A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market

et al. 2022

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The energy transition has shown that fossil generation can be complemented with renewable energy and other resources capable of providing flexibility to the energy system’s operation, in compliance with the wholesale electricity market’s rules. This paper proposes a market-based methodology for introducing flexible demand in the energy dispatch , optimizing the scheduling of electricity system operation in the short-term, and considers the challenge of implementing an incentive scheme for participants in demand-response programs. The scheme includes the criteria of the elasticity of substitution and a renewable energy quota. This methodology is focused on a strategic demand shift to minimize the cost of supply; increase the dispatch of renewable energy; control CO2 emissions; and satisfy the generation, demand, and transmission operating constraints. These conditions encourage the development of a simulation tool that allows a sensitivity analysis to aid decision-making by operators and agents. The proposed methodology optimizes the operational cost of generation supply and specific performance indicators to determine the percentages of demand shift, the amount of CO2 emissions, the ratio of unserved power, the demand benefits obtained from an incentive scheme, and the natural market behavior.

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“…M.A. Hannan from Universiti Tenaga Nasional, Malaysia, developed the following recent manuscripts on EMSs for EV applications: "Techno-Economic Analysis and Environmental Impact of Electric Buses" [188], "Fuzzy Based Charging-Discharging Controller for Lithium-ion Battery" [189], and "Energy Storage Integrated Microgrid Performance Enhancement" [190]. Yonggang Liu from Chongqing University, China, has a primary research interest in Plug-in Hybrid Vehicles, Powertrains, and Energy Management [191][192][193].…”

Section: Document Authorship Analysismentioning

confidence: 99%

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

et al. 2021

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Concerns over growing greenhouse gas (GHG) emissions and fuel prices have prompted researchers to look into alternative energy sources, notably in the transportation sector, accounting for more than 70% of carbon emissions. An increasing amount of research on electric vehicles (EVs) and their energy management schemes (EMSs) has been undertaken extensively in recent years to address these concerns. This article aims to offer a bibliometric analysis and investigation of optimized EMSs for EV applications. Hundreds (100) of the most relevant and highly influential manuscripts on EMSs for EV applications are explored and examined utilizing the Scopus database under predetermined parameters to identify the most impacting articles in this specific field of research. This bibliometric analysis provides a survey on EMSs related to EV applications focusing on the different battery storages, models, algorithms, frameworks, optimizations, converters, controllers, and power transmission systems. According to the findings, more articles were published in 2020, with a total of 22, as compared to other years. The authors with the highest number of manuscripts come from four nations, including China, the United States, France, and the United Kingdom, and five research institutions, with these nations and institutions accounting for the publication of 72 papers. According to the comprehensive review, the current technologies are more or less capable of performing effectively; nevertheless, dependability and intelligent systems are still lacking. Therefore, this study highlights the existing difficulties and challenges related to EMSs for EV applications and some brief ideas, discussions, and potential suggestions for future research. This bibliometric research could be helpful to EV engineers and to automobile industries in terms of the development of cost-effective, longer-lasting, hydrogen-compatible electrical interfaces and well-performing EMSs for sustainable EV operations.

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Energy management system of microgrid: Control schemes, pricing techniques, and future horizons

Cited by 23 publications

References 67 publications

A Bioinspired Emergent Control for Smart Grids

A Bioinspired Emergent Control for Smart Grids

A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends

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