An intelligent load priority list–based integrated energy management system in microgrids

Alahmed, Ahmed S.; Al-Muhaini, Mohammad

doi:10.1016/j.epsr.2020.106404

Cited by 15 publications

(6 citation statements)

References 9 publications

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“… Approach Ref Outline Aspects Secondary authority based on master/slave and peer/peer relationships 139 Deliver optimal functioning of MGs by controlling various elements Smooth transitions across grid-connected as well as standalone configurations, even in the connectivity breakdowns, are made possible by incorporating peer-to-peer control Tertiary adjuster 140 Adjust the current and voltage MG factors to trade power needed at PCC The synchronization of MG current and voltage corresponds with the intended energy sharing at PCC. Nonetheless, enormous imbalanced current passes if the circuit is poorly handled Tertiary control using evolutionary algorithms 141 Global energy integrity is regulated by tertiary control depending on target mechanism and machine limitations Imbalance system modelling and simplification enable economic improvement of energy allocation at an advanced rank Decentralized control 142 The architecture relies on decentralized, every DG regional controllers Phase regulation, optimal functioning of DGs, and enhanced MG behavior as well as reliability …”

Section: Advance Hierarchical Controlmentioning

confidence: 99%

Review on microgrids design and monitoring approaches for sustainable green energy networks

Ahmed,

Rehan,

Basit

et al. 2023

Sci Rep

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Microgrids are power distribution systems that can operate either in a grid-connected configuration or in an islanded manner, depending on the availability of decentralized power resources, such as sustainable or non-sustainable power sources, battery backup systems, and power demands. The extensive adoption of inverter-based systems poses numerous technological challenges, necessitating a centralized management system to assure the system reliability and monitoring of the energy delivery networks. Thus, this research begins by highlighting these significant obstacles and then analyzes the present-day advances in multilevel control architecture for delivering on promised functionality. This article also discusses the development of innovative control technologies, such as introducing collaborative distributed approaches and reducing conventional three-stage patriarchal administration to fewer stages of system integration and functioning.

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Section: Advance Hierarchical Controlmentioning

confidence: 99%

Review on microgrids design and monitoring approaches for sustainable green energy networks

Ahmed,

Rehan,

Basit

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Furthermore, the EMS will utilize the flexible load shaping DSM strategy and DR programs to optimize the DG F I G U R E 2 Generic model of grid-connected microgrid procurement and utility energy exchange costs. The microgrid's total operating cost includes the fuel cost coefficients of DG units, startup/shutdown costs of DG units, and the market price of utility, as represented in Equation (7). The mathematical representation of the MG-EMS problem is given as follows.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The above research investigates the risk‐averse model of electrical and thermal storage in a residential MG to obtain flexibility in its operation. In Reference 7, a neuro‐fuzzy based flexible load priority list is developed to identify different curtailable load categories and reduce the energy import from the utility with high tariffs.…”

Section: Introductionmentioning

confidence: 99%

Optimal day ahead energy consumption management in grid‐connected microgrids

Raghav

Kumar

Raju

et al. 2021

Intl J of Energy Research

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The day-ahead scheduling of microgrids in the presence of nondispatchable distributed generators (DGs) is a challenging task for microgrid operators. The valve point loading problem of distributed generators and its effect on inputoutput characteristics is not extensively covered in the published scientific literature on microgrids. In this research work, the day-ahead scheduling problem of microgrids is formulated in the presence of DGs with a nonconvex cost function. First, the flexible load-shaping based demand-side management strat-

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“…They researched how to conserve electricity during situations of generating intermittent by reducing non-essential loads and maintaining critical loads. The authors of 10 suggested using a combination of neural networks and fuzzy logic to create a system for managing energy demand, considering the significance of different types of loads, like residential, commercial, industrial, and hospital areas in an integrated energy management system (EMS). Additionally, they acknowledged that loads could also play a role in managing energy production in modern electrical systems.…”

Section: Introductionmentioning

confidence: 99%

Practical prototype for energy management system in smart microgrid considering uncertainties and energy theft

Saeed,

Sedhom,

Elbaghdadi

et al. 2023

Sci Rep

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The conventional electrical grid faces significant issues, which this paper aims to address one of most of them using a proposed prototype of a smart microgrid energy management system. In addition to relying too heavily on fossil fuels, electricity theft is another great issue. The proposed energy management system can simultaneously detect electricity theft and implement demand response tactics by employing time-of-use pricing principles and comparing real electricity consumption with grid data. The system uses the Al-Biruni earth radius (BER) optimization algorithm to make smart choices about how to distribute the load, intending to reduce energy consumption and costs without sacrificing comfort. As a bonus, it considers limitations imposed by battery charging/discharging and decentralized power generation. Incorporating sensors and SCADA-based monitoring, the system provides accurate measurement and management of energy usage through load monitoring and control. An intuitive mobile app also helps consumers connect, allowing for more active participation and better control over energy use. Extensive field testing of the prototype shows that by moving loads from peak period to another off-peak period, electricity expenditures can be reduced by up to 48.45%. The energy theft value was calculated to be 1199 W, proving that the system's theft detection model was effective.

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An intelligent load priority list–based integrated energy management system in microgrids

Cited by 15 publications

References 9 publications

Review on microgrids design and monitoring approaches for sustainable green energy networks

Review on microgrids design and monitoring approaches for sustainable green energy networks

Optimal day ahead energy consumption management in grid‐connected microgrids

Practical prototype for energy management system in smart microgrid considering uncertainties and energy theft

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