Optimization algorithm associated with local and coordinated controls of distributed energy resources to meet technical and economic criteria

de Barros, Thiago Ribeiro; Archetti, João Antônio Guedes; Mattos, Marina; de Oliveira, Leonardo Willer; Oliveira, Janaína G.

doi:10.1016/j.epsr.2023.109880

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…As discussed in Section 4.5, centralized, distributed, hybrid, and decentralized control strategies can be implemented as the communication structure for data flow and control actions among various control levels [218]. In reference [285], the techno-economic constraints were considered in the optimization algorithms for the local and coordinated control schemes of the DERs. Other studies considered various control schemes for acquiring the optimal energy management in references [286,287].…”

Section: Control Strategymentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

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Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.

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Section: Control Strategymentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

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Machine Learning-Based Online MPC for Large-Scale Charging Infrastructure Management

Mejdi,

Kardous,

Grayaa

2024

IEEE Access

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The rapid expansion of Electric Vehicle (EV) charging capacities, driven by the surge in transportation electrification, has a direct impact on the electric power system, particularly the Low Voltage (LV) grid. Consequently, there is a pressing need to redesign energy management systems, placing a greater emphasis on mitigating the effects of EV charging. In this article, we crafted an online grid-level Model Predictive Control (MPC) incorporating Machine Learning (ML) prediction enhanced with Singular Spectrum Analysis (SSA). ML models predicts the future EV charging demands, which are the key factors for the MPC for managing efficiently a large-scale charging infrastructure, aiming to mitigate EV charging impacts, specifically phase unbalance and overloading. The MPC results, especially on phase unbalance metrics, mirrored in a predictive manner those of offline/no forecast optimization from our previous work. A week-long MPC simulation comparison with uncontrolled case showcased a 63% reduction in peak demand duration, a 68% decrease in Phasing Unbalance Index (PUI), and a 45% reduction in Voltage Unbalance Factor (VUF). The minimum voltage unbalance improved from 0.897 pu to 0.913 pu, reducing out-ofstandard drops duration by 21%. Lastly, we observed a 20% cut in lines' losses, equating to a 50 kgCO 2 reduction within a week.

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Optimization algorithm associated with local and coordinated controls of distributed energy resources to meet technical and economic criteria

Cited by 2 publications

References 34 publications

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Machine Learning-Based Online MPC for Large-Scale Charging Infrastructure Management

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