Optimal Scheduling and Management of a Smart City Within the Safe Framework

Duan, Qunlong; Quynh, Nguyen Vu; Abdullah, Heba M.; Almalaq, Abdulaziz; Duc, Ton; Abdelkader, Sobhy M.; Mohamed, Mohamed A.

doi:10.1109/access.2020.3021196

Cited by 38 publications

(22 citation statements)

References 34 publications

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“…Extensions for these platforms have been created to allow for the simulation of a microgrid cyber layer. In this paper, a blockchain based structure is developed to secure the data transaction among the microgrids in an integrated framework [31]. Blockchain is fundamentally constructed in a distributed topology, in which every microgrid can share its data with the other neighboring connecting microgrids, while no one can control [32].…”

Section: Secured Framework Based On Blockchainmentioning

confidence: 99%

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

Yin¹,

Hajjiah

Jermsittiparsert³

et al. 2021

IEEE Access

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Optimal scheduling of reconfigurable interconnected microgrids is a precious and critical task for the residential consumers especially with the integration of renewable energy sources, dispatchable units and energy storage systems. In this regard, not only the optimal scheduling of the microgrids in a realistic and correlated environment is a necessity, but also the guarantied security and the prevention of cyber-attacks are mandatory tasks for the operators. This article first addresses these issues by developing a novel framework based on blockchain for secured data transaction from the individual microgrids' components to the central control unit and then tries to find the optimal scheduling plan using stochastic programming based on point estimate method (PEM). Through such a hybrid PEM-blockchain based framework, the interconnected microgrids can supply the residential loads in a fully reliable, economic and secured structure. We also consider a social-economic framework to not only minimize the total operating cost of the microgrids, but also benefit the customers by enhancing the social factors through the optimal switching. Considering the complex and nonlinear nature of the problem, an effective corrected crow search (CCS) algorithm is deployed to find the most optimal operating point for the microgrids. The quality and capabilities of the proposed model are investigated using a practical residential interconnected microgrid. The results show that the optimal switching could reduce the total operation cost from $22,716 to $21,935 (3.56% reduction). Also, the average energy not supplied (AENS) has reduced from 1.4115 to 1.352 kWh/customer.yr (4.40% reduction), which are notable values. The results advocate the quality and functionality of the proposed framework.

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Section: Secured Framework Based On Blockchainmentioning

confidence: 99%

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

Yin¹,

Hajjiah

Jermsittiparsert³

et al. 2021

IEEE Access

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“…Then, the best objective function (F1 Best ) among the members of ψ r is opted for, and the relevant component is saved in matrix ψ Best , as demonstrated by Equations ( 42) and (43). Finally, Equation (44) shows that matrix K needs to be updated, becoming compatible with ψ Best for each iteration j.…”

Section: The Intelligent Priority Selection Algorithm Frameworkmentioning

confidence: 99%

A Cost-Efficient-Based Cooperative Allocation of Mining Devices and Renewable Resources Enhancing Blockchain Architecture

et al. 2021

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The impressive furtherance of communication technologies has exhorted industrial companies to link-up these developments with their own abilities with the target of efficiency enhancement through smart supervision and control. With this in mind, the blockchain platform is a prospective solution for merging communication technologies and industrial infrastructures, but there are several challenges. Such obstacles should be addressed to effectively adopt this technology. One of the most recent challenges relative to adopting blockchain technology is the energy consumption of miners. Thus, providing an accurate approach that addresses the underlying cause of the problem will carry weight in the future. This work addresses managing the energy consumption of miners by using the advantage of distributed generation resources (DGRs). Along the same vein, it appears that achieving the optimal solution requires executing the modified reconfirmation of DGRs and miners (indeed, mining pool systems) in the smart grid. In order to perform this task, this article utilizes the Intelligent Priority Selection (IPS) method since this method is up to snuff for corporative allocation. In order to find practical solutions for this problem, the uncertainty is also modeled as a credible index highly correlated with the load and generation. All in all, it can be said that the outcome of this research study can help researchers in the field of enhancement of social welfare by using the proposed technology.

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“…As one of the key national facilities, the power system has always been one of the important targets subject to cyberattacks. Security protection of the power system is of great significance to ensure safe and stable operation of the power grid [52][53][54][55]. However, with the rise and development of edge intelligence and power chip technology, a large number of user data are processed in the edge intelligent terminal.…”

Section: Security Protection Technology Of Power Chipmentioning

confidence: 99%

Thinking and Prospect of Power Chip Specificity

Xiang

et al. 2021

International Journal of Photoenergy

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The contradiction between the demand of massive intelligent scene caused by the interconnection of things in power system and the bottleneck of the chip itself is becoming more and more serious. How to realize the self-controllable and domestic substitution of power chips has been widely concerned in the power field. Therefore, this paper analyzes the demand for power chips in power system and discusses the scene specificity of power chips. Then, it combs the design architecture of power chips and discusses the application scenarios and research focuses of power chips. Finally, the key scientific problems and major technical bottlenecks of power chips are prospected.

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Optimal Scheduling and Management of a Smart City Within the Safe Framework

Abstract: His research interests include modeling smart buildings, smart grids, smart cities, and smart energy systems using artificial intelligence, machine learning, deep learning, and quantum computing.

Cited by 38 publications

References 34 publications

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

A Secured Social-Economic Framework Based on PEM-Blockchain for Optimal Scheduling of Reconfigurable Interconnected Microgrids

A Cost-Efficient-Based Cooperative Allocation of Mining Devices and Renewable Resources Enhancing Blockchain Architecture

Thinking and Prospect of Power Chip Specificity

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