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Implementation of an Energy Management System for Real-Time Power Flow Control in AC Microgrid

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Airin Rahman, Hafte Hayelom Adhena, Ramy Georgious, Pablo Garcia

Systems and Control · Submitted 14 Sep 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The recommended EMS for the MG system has been verified using MATLAB/Simulink.

how it is stated · asserted 1.00 read the record →

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arXiv ID2209.06377 (version 1)
Pith IDDHTVCMYE, Pith's permanent record of this paper and its review
CitationAirin Rahman, Hafte Hayelom Adhena, Pablo Garcia, Ramy Georgious. "Implementation of an Energy Management System for Real-Time Power Flow Control in AC Microgrid." arXiv:2209.06377 (2022). https://pith.science/paper/DHTVCMYE
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,884 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.10 · human participants 0.02 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.38 · compares with prior results 0.06 · mentions code or data availability 0.04.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Microgrid (MG) system, which is composed of renewable resources with the utility grid, energy storage unit, electric vehicles, and loads, acts as a single controllable entity. To get efficient and low-cost energy, need to manage power flow within MG depending on renewable resources and load demand. This paper proposes an energy management system (EMS) for grid-connected photovoltaic (PV) and energy storage system (ESS) based on AC MG. The proposed EMS regulates power flow through the AC bus considering next-day solar irradiance prediction, tariff profile, and day-ahead load demand to minimize the cost of electricity. The recommended EMS for the MG system has been verified using MATLAB/Simulink. Also, the algorithm has been tasted with real time data of a 10kW PV system.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Microgrid (MG) system, which is composed of renewable resources with the utility grid, energy storage unit, electric vehicles, and loads, acts as a single controllable entity. background 1.00 0.07 0.03 asserted 1.00
s1 To get efficient and low-cost energy, need to manage power flow within MG depending on renewable resources and load demand. background 1.00 0.06 0.04 asserted 0.91
s2 This paper proposes an energy management system (EMS) for grid-connected photovoltaic (PV) and energy storage system (ESS) based on AC MG. contribution 1.00 0.83 0.11 asserted 1.00
s3 The proposed EMS regulates power flow through the AC bus considering next-day solar irradiance prediction, tariff profile, and day-ahead load demand to minimize the cost of electricity. method 0.65 0.76 0.31 asserted 1.00
s4 The recommended EMS for the MG system has been verified using MATLAB/Simulink. method 0.95 0.92 0.09 asserted 1.00
s5 Also, the algorithm has been tasted with real time data of a 10kW PV system. method 0.89 0.89 0.08 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.96 · evidence from simulation or computation 0.99.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Microgrid (MG) system, which is composed of renewable resources with the utility grid, energy storage unit, electric vehicles, and loads, acts as a single controllable entity. To get efficient and low-cost energy, need to manage power flow within MG depending on renewable resources and load demand. This paper proposes an energy management system (EMS) for grid-connected photovoltaic (PV) and energy storage system (ESS) based on AC MG. The proposed EMS regulates power flow through the AC bus considering next-day solar irradiance prediction, tariff profile, and day-ahead load demand to minimize the cost of electricity. The recommended EMS for the MG system has been verified using MATLAB/Simulink. Also, the algorithm has been tasted with real time data of a 10kW PV system.

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