Optimal Intelligent Energy Management to Integrate a Photovoltaic Park into Electricity Grid Using a Real-Time Objective Function—Application to the Naâma Park

Tadjeddine, Ali Abderrazak; Chaker, Abdelkader; Zekkour, F.; Belaghit, A.; Hamiani, H.

doi:10.1007/978-981-15-5444-5_10

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…In most power systems, the frequency is kept at a constant level, typically 50 or 60 Hz [3], and any deviations can have detrimental effects on the grid and connected devices [4]. Traditional power plants, which have large rotating masses, provide inherent inertia that helps stabilize the frequency of the grid [5].…”

Section: Introductionmentioning

confidence: 99%

“…However, renewable energy sources, such as solar and wind, do not possess the same level of inherent inertia. Their output fluctuates with changing conditions, which can cause frequency variations if not properly managed [5]. If there is an imbalance between generation and consumption, the The Algerian Electrical System Operator (AESO) face challenges related to voltage stability and frequency fluctuations, especially during periods of high electrical demand and the integration of Variable Renewable Energy (VRE) sources [6].…”

Section: Introductionmentioning

confidence: 99%

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VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene

Tadjeddine,

Bendelhoum,

Bendjillali

et al. 2023

EAI Endorsed Trans Energy Web

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The Fluctuations in demand and weather conditions have a significant impact on the frequency and the voltage of Algeria's isolated PIAT power grid. To maintain stability and reliable power supply, it is crucial to keep these quantities close to their expected levels. An automatic (FRR) is employed to regulate real-time frequency deviations caused by integrating variable renewable energy (VRE), specifically wind and solar power in the Kabertene region. In order to mitigate wind power fluctuations, a power system stabilizer is implemented, which helps dampen oscillations. The use of Maximum Power Point Tracking (MPPT) techniques optimizes the extraction of power from solar panels under varying conditions. For efficient scheduling and dispatch of VRE generation, particle swarm optimization (PSO)-based algorithms are used. These algorithms ensure optimal utilization of renewable energy sources by considering their intermittent nature. This study proves the effectiveness of these techniques in enhancing grid stability, reducing frequency deviations, and improving VRE integration. Valuable insights are provided on their practical implementation, playing a crucial role in transitioning to a cleaner and more sustainable energy system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene

Tadjeddine,

Bendelhoum,

Bendjillali

et al. 2023

EAI Endorsed Trans Energy Web

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“…Dispatchers face a problem of voltage stability and frequency fluctuations, especially during high load periods. Models of nonlinear electrical loads under critical transient conditions play a large role in the modeling and operating control equations of an electrical system [1]- [3]. Smart grid management or machine learning inelegance all depend on the consumption load pattern [2], [4], [5], which in turn directly affects the quality of use of the power system.…”

Section: Introductionmentioning

confidence: 99%

Advanced dynamic stability system developed for nonlinear load

Abderrazak,

Ilyas,

Sofiane

et al. 2023

IJPEDS

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<span lang="EN-US">The conventional production of electrical energy gives rise to environmental problems and involves high production costs. To cope with the increasing demand for electrical loads and to optimize power transmission on the grid, it is imperative to shift towards renewable energies and their hybrid utilization. This planning study assesses the impact of fluctuating electric loads on bus voltages and frequency, with the objective of distributing energy in a more efficient and dynamic manner. Moreover, we delve into the implementation of artificial intelligence (IAPS) to curtail operations, minimize losses (GED), optimize production plans (EMSO), and synchronize decentralized multi-machine power systems (MMSA). Our study scrutinizes power dispatching on dynamic models of purely consuming loads, which are subject to dynamic constraints, by utilizing educational software that encompasses 13 cycles for 24 hours of frequency studies for multisource production in a standardized electrical system (EPSS). The control outcomes obtained through validation on an IEEE30 bus network display a resilient model for planned productions.</span>

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Optimal Intelligent Energy Management to Integrate a Photovoltaic Park into Electricity Grid Using a Real-Time Objective Function—Application to the Naâma Park

Cited by 2 publications

References 2 publications

VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene

VRE Integrating in PIAT grid with aFRR using PSS, MPPT, and PSO-based Techniques: A Case Study Kabertene

Advanced dynamic stability system developed for nonlinear load

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