Decentralized and discretized control for storage systems offering primary frequency control

Ziras, Charalampos; Prostejovsky, Alexander; Bindner, Henrik W.; Marinelli, Mattia

doi:10.1016/j.epsr.2019.106000

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…A host usually encrypts data before it is stored, so it can only be decrypted by the rightful owner and any parties he or she has agreed to share it with. The process makes these services more resistant to censorship and manipulation, as well as rendering any data compromised in a breach useless to an attacker [36].…”

Section: E Why Decentralized Storage Data?mentioning

confidence: 99%

A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks

et al. 2023

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Blockchains are a new approach to creating distributed networks that were first introduced in 2008. It allows the formation of peer-to-peer networks based on consensus, forming chains from accepted blocks without requiring a central authority or centralized controller. A prominent application of this technology is its use in decentralized storage systems. Individuals in decentralized storage networks rent unused hardware storage space to other individuals. A decentralized network utilizing end-to-end encryption eliminates the risk of data loss associated with centralized data control by enabling clients to transmit their files securely. The storage providers must prove that they have kept unaltered files in this network for this time. Many studies have been conducted in this specific domain, most targeting storage capacity and efficiency, but a security, integrity and privacy loophole need to be addressed. This paper presents an overview of blockchain-based storage systems and how they work, followed by a comparison with cloud-based storage networks and a survey of various decentralized storage networks like SIA, File coin, and Storj available on the market. Next, we discuss the advantages and disadvantages of blockchain-based storage. In our final discussion, we examine the security problems of decentralized storage networks and explore potential solutions and research directions for the future.

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Section: E Why Decentralized Storage Data?mentioning

confidence: 99%

A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks

et al. 2023

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“…The centralized architecture has a heavy operation in terms of communication and computation when it is scaled-up. On the contrary, the decentralized architecture requires less communication and computation capabilities [15], [16] and diverts data privacy challenges. Moreover, the one-way communication has the potential of implementing plug & play protocols and simplify user interaction [17].…”

Section: A Control Architecture State-of-the-artmentioning

confidence: 99%

Autonomously Distributed Control of Electric Vehicle Chargers for Grid Services

Sevdari¹,

Calearo²,

Striani³

et al. 2021

2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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As part of a sustainable power system, a synergy between electric mobility and renewable energy sources (RESs) can play a crucial role on mitigating the nature of RESs and defer costly grid upgrades via smart-charging. This paper presents a distributed autonomous control architecture for electric vehicle (EV) chargers and a clustering method for charging coordination. The architecture framework is detailed depending on the number of chargers and specific location properties. Moreover, the framework unveils the communication, measurement and power flow. The aforementioned approach aims at simplifying the overall charging experience for the EV owners while coupling it with a healthy grid behavior. The proposed control architecture is simulated on a prosumer case with two EVs. The performance of the controller is considerably affected by observability capabilities of current smart-meters. Faster measurement cycles of smartmeters can reduce the overshoot time span but not prevent it.

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“…Most of μG consists of diesel generators, RESs, ESTs, and other apparatus, and there is a power connection among these sources, which can greatly increase the μG's security and resilience [7][8][9]. Nonetheless, because of the more complicated topology of the μG, there are more difficulties in the system's synthesis, energy management of sources, and the structure's control and design [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation

et al. 2023

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The operation of the system’s frequency can be strongly impacted by load change, solar irradiation, wind disturbance, and system parametric uncertainty. In this paper, the application of an adaptive controller based on a hybrid Jaya-Balloon optimizer (JBO) for frequency oscillation mitigation in a single area smart μG system is studied. The proposed adaptive control approach is applied to control the flexible loads such as HPs and EVs by using the JBO which efficiently controls the system frequency. The suggested technique uses the power balance equation to provide a dynamic output feedback controller. The main target is to regulate the frequency and power of an islanded single area μG powered by a PV and a diesel generator with integrations of smart bidirectional loads (HPs and EVs) that are controlled by the proposed adaptive controller in presence of electrical random loads. Moreover, the JBO is designed to minimize the effect of the system load disturbance and parameter variations. For a better assessment, the proposed controller using JBO technique is compared with two other methods which are the coefficient diagram method (CDM) and adaptive one using classical the Jaya technique. In the obtained results, the frequency deviation is found as 0.0015 Hz, which is fully acceptable and in the range of the IEEE standards. The MATLAB simulation results reveal that the suggested technique has a substantial advantage over other techniques in terms of frequency stability in the face of concurrent disturbances and parameter uncertainties. The real-time simulation tests are presented using a dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card and confirmed the MATLAB simulation results.

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Decentralized and discretized control for storage systems offering primary frequency control

Cited by 14 publications

References 19 publications

A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks

A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks

Autonomously Distributed Control of Electric Vehicle Chargers for Grid Services

Adaptive frequency control in smart microgrid using controlled loads supported by real-time implementation

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