Cellular automata-based simulation of cross-space transmission of Energy Local Area Network risks: A case study of a power supply station in Beijing

Li, Xiaopeng; Ji, Liyan; Zhu, Hanyu; Xuefeng, Jia; Li, Cunbin

doi:10.1016/j.segan.2021.100521

Cited by 5 publications

(5 citation statements)

References 37 publications

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“…The classic approach considers such impacts (or attacks) as an accidental (unintentional) occurrence. The corresponding models are the error tolerance model [7]; "forest fire"-based models [8], including the one with immune trees [9]; demon model [10]; cellular automata-based model [11,12]; and random attack percolation models [13,14]. The latter ones, including the targeted attack percolation models [15][16][17][18], localized attack percolation models [19], and k-core percolation [20][21][22][23], are also used to simulate the intentional attacks on a network's nodes and edges, assuming that the Attacker tries to disrupt the network connectivity as quickly as possible.…”

Section: Introductionmentioning

confidence: 99%

“…Cellular automata-based model [11,12] (2) Attacker-Defender, Defender-Attacker, Defender-Attacker-Defender models [24,25] Targeted attack percolation models [15][16][17][18] Localized attack percolation models [19] k-core percolation [20][21][22][23] Interdependent networks robustness under targeted attacks [34] Intentional (3) Cascading failure propagation models [26,27] Regular allocation strategy of bidirectional interconnections [28] (4) Cascading failure propagation model for networks of networks [29][30][31] The structure of the study is as follows. Section 2 describes the general statement of the problem of managing the risks of the complex system under attack with a known structure.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Shiroky

Kalashnikov

2021

Mathematics

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This paper deals with the problem of managing the risks of complex systems under targeted attacks. It is usually solved by using Defender–Attacker models or similar ones. However, such models do not consider the influence of the defending system structure on the expected attack outcome. Our goal was to study how the structure of an abstract system affects its integral risk. To achieve this, we considered a situation where the Defender knows the structure of the expected attack and can arrange the elements to achieve a minimum of integral risk. In this paper, we consider a particular case of a simple chain attack structure. We generalized the concept of a local risk function to account for structural effects and found an ordering criterion that ensures the optimal placement of the defending system’s elements inside a given simple chain structure. The obtained result is the first step to formulate the principles of optimally placing system elements within an arbitrarily complex network. Knowledge of these principles, in turn, will allow solving the problems of optimal allocation of resources to minimize the risks of a complex system, considering its structure.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Shiroky

Kalashnikov

2021

Mathematics

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“…Penggunaan VLAN akan membuat pengaturan jaringan menjadi sangat fleksibel, sehingga dapat dibuat segmen yang bergantung pada organisasi atau departemen, tanpa bergantung pada lokasi workstation (Nourildean et al, 2021;Tulloh et al, 2015). Perbedaan yang sangat jelas dari model jaringan Local Area Network dengan Virtual Local Area Network adalah bahwa bentuk jaringan dengan model Local Area Network sangat bergantung pada letak/fisik dari workstation, serta penggunaan hub dan repeater sebagai perangkat jaringan yang memiliki beberapa kelemahan (Li et al, 2021;Qiang, 2021). Sedangkan yang menjadi salah satu kelebihan dari model jaringan dengan VLAN adalah tiap-tiap workstation/user yang tergabung dalam satu VLAN/ bagian (organisasi atau kelompok) dapat tetap saling berhubungan walaupun terpisah secara fisik.…”

Section: Pendahuluanunclassified

Quality of Service pada Virtual Local Area Network

Bura

Effendi

2021

j. edutech.

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VLAN adalah bagian jaringan yang independen secara logika. Paket menghabiskan banyak waktu berpindah ke tujuan dan sering berubah. Kualitas jaringan yang tidak baik dan alamat yang akan dituju memiliki delay yang tinggi. Oleh karena itu, jaringan ini dapat dikatakan tidak stabil. Tujuan penelitian ini yaitu untuk merancang sebuah sistem jaringan. Layanan internet di sekolah ini menggunakan Internet Service Provider (ISP). Jenis penelitian ini yaitu pengembangan. Metode perancangan yang dilakukan dalam penelitian menggunakan metode PPDIOO. Fase-fase yang ada dalam metode PPDIOO ini adalah Plan, Prepare, Design, Implement, Operate, Optimize. Metode yang digunakan untuk mengumpulkan data yaitu kuesioner, observasi, dan wawancara. Instrumen yang digunakan dalam penelitian ini yaitu kuesioner. Teknik yang digunakan untuk menganalisis data yaitu analisis deskriptif kualitatif dan kuantitatif. Hasil penelitian menunjukkan bahwa perancangan jaringan virtual local area network (VLAN) didapatkan mean round-trip time tertinggi sebesar 19,16 ms. Jadi, rata-rata packet loss rate adalah 2,64%, hasil packet loss 2,64% termasuk dalam kategori (sangat baik). Selain itu, median survival time adalah 126,5 ms, sehingga dari hasil pengujian ini, perancangan virtual local area network (VLAN) layak untuk diimplementasikan.

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“…Therefore, under the high penetration ratio of new energy, promoting the stable operation of electricity spot market transactions is the main research topic. [1] . Some researchers put forward a quantitative analysis method to analyze the influence of new energy on the spot market of electricity.…”

Section: Introductionmentioning

confidence: 99%

Trading Method of Electricity Spot Market Under High Penetration Ratio of New Energy

Ling,

Cai,

Zhou

et al. 2023

Advances in Economics, Business and Management Research

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In this paper, the spot trading of electric power with high penetration ratio of new energy is taken as the research object, and all parties involved in the spot trading of electric power are investigated to form an electric energy trading chain. The decentralized blockchain technology is adopted to establish a trading model of the spot market of electric power, store the trading information of all parties involved, solve the model by using the strategy learning method, and analyze the market electric energy trading volume and the benefits of all parties. The research results show that the spot market transactions of electricity include energy suppliers, energy sellers and buyers, energy reserves and load aggregators. The spot trading chain of electric energy is built by using the platform of Ethereum blockchain, and the spot market of electric energy is simulated by strategy learning method. It is concluded that the installed capacity and clearing capacity of wind power suppliers are the largest, the maintenance cost is lower, the market income is the highest, but the maintenance cost far exceeds that of all energy suppliers; Using the spot trading method of electric energy trading chain to improve the income of each trading subject, the quotation of market subjects is more flexible and more in line with the relationship between supply and demand, and the clearing price of the market is basically positively correlated with the relationship between supply and demand; The credit value of each power trading entity is quantified as the default coefficient. When the default coefficient of each trading entity is larger, its income will gradually decrease, and the default of energy suppliers has the greatest impact on its income.

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Cellular automata-based simulation of cross-space transmission of Energy Local Area Network risks: A case study of a power supply station in Beijing

Cited by 5 publications

References 37 publications

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Mathematical Problems of Managing the Risks of Complex Systems under Targeted Attacks with Known Structures

Quality of Service pada Virtual Local Area Network

Trading Method of Electricity Spot Market Under High Penetration Ratio of New Energy

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