A Distributed Stochastic Energy Management Framework Based-Fuzzy-PDMM for Smart Grids Considering Wind Park and Energy Storage Systems

Mohamed, Mohamed A.; Almalaq, Abdulaziz; Abdullah, Heba M.; Alnowibet, Khalid Abdulaziz; Alrasheedi, Adel Fahad; Zaindin, Mazin

doi:10.1109/access.2021.3067501

Cited by 49 publications

(20 citation statements)

References 44 publications

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“…HOMER uses Equation ( 10) in order to measure the cell temperature [85]. It should be noted that, due to the difficulty of calculating the value of τα U L , Equation (11) is utilized to substitute the aforementioned term with the measurable one. Moreover, the software presumes that the value of τα in Equation ( 9) is 0.9 [96].…”

Section: Pv Modelingmentioning

confidence: 99%

“…Fortunately, the concept of hybrid renewable energy (HRE) solutions has solved the problem to a great extent. Besides, HRE systems may impose less costs compared to single-source energy generation systems [11][12][13]. Further, to raise the reliability and also lessen the power outage, they are usually coupled with energy storage units such as a diesel generator (DG), a battery, and a fuel cell (FC) [14].…”

Section: Introductionmentioning

confidence: 99%

“…Figure11. Changes of electricity generation via FC considering the fluctuations of the nominal discount rate and inflation (numbers inside the surface plot refer to the amount of H2 consumed by FC).…”

mentioning

confidence: 99%

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Investigating the Impact of Economic Uncertainty on Optimal Sizing of Grid-Independent Hybrid Renewable Energy Systems

et al. 2021

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One of the many barriers to decarbonization and decentralization of the energy sector in developing countries is the economic uncertainty. As such, this study scrutinizes economics of three grid-independent hybrid renewable-based systems proposed to co-generate electricity and heat for a small-scale load. Accordingly, the under-study systems are simulated and optimized with the aid of HOMER Pro software. Here, a 20-year average value of discount and inflation rates is deemed a benchmark case. The techno-economic-environmental and reliability results suggest a standalone solar/wind/electrolyzer/hydrogen-based fuel cell integrated with a hydrogen-based boiler system is the best alternative. Moreover, to ascertain the impact of economic uncertainty on optimal unit sizing of the nominated model, the fluctuations of the nominal discount rate and inflation, respectively, constitute within the range of 15–20% and 10–26%. The findings of economic uncertainty analysis imply that total net present cost (TNPC) fluctuates around the benchmark value symmetrically between $478,704 and $814,905. Levelized energy cost varies from an amount 69% less than the benchmark value up to two-fold of that. Furthermore, photovoltaic (PV) optimal size starts from a value 23% less than the benchmark case and rises up to 55% more. The corresponding figures for wind turbine (WT) are, respectively, 21% and 29%. Eventually, several practical policies are introduced to cope with economic uncertainty.

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Section: Pv Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigating the Impact of Economic Uncertainty on Optimal Sizing of Grid-Independent Hybrid Renewable Energy Systems

et al. 2021

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“…This document offers a different strong algorithm to assign the value of to the learning method optimization. Different techniques are created and commonly employed to solve optimal problem depending on mathematical modeling or artificial intelligence [44]. But then again, long solving time and inadequate precision are dictated by the use of mathematical modeling and artificial intelligence tools.…”

Section: Intelligent Priority Selection Algorithmmentioning

confidence: 99%

“…With doing this, the power set point of each microgrid j is determined by (45). By focusing on (46), the updating trend of the power exchanging among microgrids would be developed and defined in (44) in which coefficient is calculated using (47).…”

Section: B Rci Based Peer To Peer Energy Trading Frameworkmentioning

confidence: 99%

A Secured Advanced Management Architecture in Peer-to-Peer Energy Trading for Multi-Microgrid in the Stochastic Environment

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Careful consideration of grid developments illustrates the fundamental changes in its structure which its developments have taken place gradually for a long time. One of the most important developments is the expansion of the communication infrastructure that brings many advantages in the cyber layer of the system. The actual execution of the peer-to-peer (P2P) energy trading is one core advantage which also may lead to the systematic risks such as cyber-attacks. Consequently, it is necessary to form a useful way to cover such challenges. This paper focuses on the online detection of false data injection attack (FDIA), which tries to disrupt the trend of optimal peerto-peer energy trading in the stochastic condition. Moreover, this article proposes an effective modified Intelligent Priority Selection based Reinforcement Learning (IPS-RL) method to detect and stop the malicious attacks in the shortest time for effective energy trading based on the peer to peer structure. The presented method is compared with other methods such as support vector machine (SVM), reinforcement learning (RL), particle swarm optimization (PSO)-RL, and genetic algorithm (GA)-RL to validate the functionality of the method. The proposed method is implemented and examined on three interconnected microgrids in the form of peer-to-peer structure wherein each microgrid has various agents such as photovoltaic (PV), wind turbine, fuel cell, tidal system, storage unit, etc. Eventually, the unscented transformation (UT) is applied for uncertainty analysis and making the nearreality simulations., m Value of the average and variance. cThe injected malicious data.Attack time.

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A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid

Behera

Choudhury

2021

Int Trans Electr Energ Syst

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Energy management system (EMS) is a modern methodology in smart households' advancement that build collaboration among end-users with their home appliances to operate automatically, multifunctionally, adaptably, and efficiently. EMS is categorized into several applications; battery energy management is an eminent application on smart grid applications. Such an approach is responsible for cost minimization during peak hour operated loads with various optimization methods and different adaptive controllers, which are described. Applications of EMS based different topologies are recommended with issues on these techniques have also been analyzed. Results obtained on EMS using optimization methods and battery EMS using fuzzy and PI controllers are demonstrated. Finally, based on the review, potential future scopes in this topic have been identified, and future research directions in this context are pointed out.

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A Distributed Stochastic Energy Management Framework Based-Fuzzy-PDMM for Smart Grids Considering Wind Park and Energy Storage Systems

Cited by 49 publications

References 44 publications

Investigating the Impact of Economic Uncertainty on Optimal Sizing of Grid-Independent Hybrid Renewable Energy Systems

Investigating the Impact of Economic Uncertainty on Optimal Sizing of Grid-Independent Hybrid Renewable Energy Systems

A Secured Advanced Management Architecture in Peer-to-Peer Energy Trading for Multi-Microgrid in the Stochastic Environment

A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid

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