Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review

With the increasing liberalization of energy markets, the penetration of renewable clean energy sources, such as photovoltaics and wind power, has gradually increased, providing more sustainable energy solutions for energy-intensive industrial sectors or parks, such as iron and steel production. How...

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Main Authors: Lei Zhang, Yuxing Yuan, Su Yan, Hang Cao, Tao Du
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/18/10/2465
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author Lei Zhang
Yuxing Yuan
Su Yan
Hang Cao
Tao Du
author_facet Lei Zhang
Yuxing Yuan
Su Yan
Hang Cao
Tao Du
author_sort Lei Zhang
collection DOAJ
description With the increasing liberalization of energy markets, the penetration of renewable clean energy sources, such as photovoltaics and wind power, has gradually increased, providing more sustainable energy solutions for energy-intensive industrial sectors or parks, such as iron and steel production. However, the issues of the intermittency and volatility of renewable energy have become increasingly evident in practical applications, and the economic performance and operational efficiency of localized microgrid systems also demand thorough consideration, posing significant challenges to the decision and management of power system operation. A smart microgrid can effectively enhance the flexibility, reliability, and resilience of the grid, through the frequent interaction of generation–grid–load. Therefore, this paper will provide a comprehensive summary of existing knowledge and a review of the research progress on the methodologies and strategies of modeling technologies for intelligent power systems integrating renewable energy in industrial production.
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institution Kabale University
issn 1996-1073
language English
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publisher MDPI AG
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series Energies
spelling doaj-art-93e6699e910044aea58d5dbf2d691d412025-08-20T03:47:54ZengMDPI AGEnergies1996-10732025-05-011810246510.3390/en18102465Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective ReviewLei Zhang0Yuxing Yuan1Su Yan2Hang Cao3Tao Du4Key Laboratory of Eco-Industry, Ministry of Ecology and Environment, Northeastern University, Shenyang 110819, ChinaKey Laboratory of Eco-Industry, Ministry of Ecology and Environment, Northeastern University, Shenyang 110819, ChinaKey Laboratory of Eco-Industry, Ministry of Ecology and Environment, Northeastern University, Shenyang 110819, ChinaKey Laboratory of Eco-Industry, Ministry of Ecology and Environment, Northeastern University, Shenyang 110819, ChinaKey Laboratory of Eco-Industry, Ministry of Ecology and Environment, Northeastern University, Shenyang 110819, ChinaWith the increasing liberalization of energy markets, the penetration of renewable clean energy sources, such as photovoltaics and wind power, has gradually increased, providing more sustainable energy solutions for energy-intensive industrial sectors or parks, such as iron and steel production. However, the issues of the intermittency and volatility of renewable energy have become increasingly evident in practical applications, and the economic performance and operational efficiency of localized microgrid systems also demand thorough consideration, posing significant challenges to the decision and management of power system operation. A smart microgrid can effectively enhance the flexibility, reliability, and resilience of the grid, through the frequent interaction of generation–grid–load. Therefore, this paper will provide a comprehensive summary of existing knowledge and a review of the research progress on the methodologies and strategies of modeling technologies for intelligent power systems integrating renewable energy in industrial production.https://www.mdpi.com/1996-1073/18/10/2465smart microgridrenewable energymodeling techniques of predictionmodeling techniques for microgrid scheduling
spellingShingle Lei Zhang
Yuxing Yuan
Su Yan
Hang Cao
Tao Du
Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review
Energies
smart microgrid
renewable energy
modeling techniques of prediction
modeling techniques for microgrid scheduling
title Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review
title_full Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review
title_fullStr Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review
title_full_unstemmed Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review
title_short Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review
title_sort advances in modeling and optimization of intelligent power systems integrating renewable energy in the industrial sector a multi perspective review
topic smart microgrid
renewable energy
modeling techniques of prediction
modeling techniques for microgrid scheduling
url https://www.mdpi.com/1996-1073/18/10/2465
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AT yuxingyuan advancesinmodelingandoptimizationofintelligentpowersystemsintegratingrenewableenergyintheindustrialsectoramultiperspectivereview
AT suyan advancesinmodelingandoptimizationofintelligentpowersystemsintegratingrenewableenergyintheindustrialsectoramultiperspectivereview
AT hangcao advancesinmodelingandoptimizationofintelligentpowersystemsintegratingrenewableenergyintheindustrialsectoramultiperspectivereview
AT taodu advancesinmodelingandoptimizationofintelligentpowersystemsintegratingrenewableenergyintheindustrialsectoramultiperspectivereview