Transmission of Frequency Balance Instructions and Secure Data Sharing Based on Chaos Encryption in Smart Grid-Based Energy Systems Applications

Abstract

Data communication security between power systems, which has become a chronic problem in the classical network, is characterized by the application of information communication technology (ICT) in modern network models. Nowadays, the electricity network is spread over very large areas, and the load taking, and load shedding instructions are transmitted one-way and unsafe in the current structure. However, utilities in the smart grid are developing new methodologies to secure the communication infrastructure. This article presents a design that will make the current grid model more reliable and provide a secure data communication in accordance with the modern grid infrastructure. This design provides auxiliary communication codes such as chaotic codes embedded in the communication instructions between power systems, which are generation balance instructions sent to the power plants by the load dispatch center to achieve frequency balance. Used as a case study, one-day instructions are transmitted and encoded four times a day, which is the amount of capacity that only the receiver and transmitter can understand with two-sided encryption. The necessary reserve capacity, chaotic encryption and suitability for real-time applications were evaluated using experimentally obtained power system data for frequency control, which is very important in terms of sustainability in energy and economy against cyber-attacks, and very accurate results were obtained.

Optimization of Distribution Automation System Based on Artificial Intelligence Wireless Network Technology

“…The action logic of ATS and standby automatic switching system commonly used in the traditional power industry is to start and put the oil engine into operation immediately when the load power supply loses power in two ways. If the power supply structure is multichannel incoming line, the oil engine will still be started when the municipal capacitance is sufficient [8,9]. The distribution automation system will give priority to judge whether the municipal capacitance can meet the requirements of power loss load.…”

Sensing information collection and virtualization construction of smart scenarios of power grid infrastructure

“…The algorithm first finds suitable incentives based on power flow losses, and then uses a novel optimization method to solve the mixed integer nonlinear programming optimization of power generation planning to minimize energy costs. Tur et al proposed a design that will make the current grid model more reliable and provide secure data communication according to modern grid infrastructure [4]; the design embeds chaotic codes and other aids in the communication instructions between power systems The communication code is the power generation balance command sent by the load dispatch center to the power plant to achieve frequency balance. This paper firstly analyzes the definition and characteristics of power grid infrastructure projects, analyzes the key links of five types of management, and summarizes the difficulties they are currently facing; The supply system is the main body of management, and the intelligent management platform of power materials is designed as a management tool; the intelligent process management mode of power materials is designed, and the planning management and feedback management mode of power materials are clarified.…”

An efficient color image encryption scheme based on a matrix scrambling method and a new hybrid chaotic map

“…For instance, chaos is applied in communication systems in An et al (2011), Eisencraft et al (2012), Hu et al (2010), Jiang et al (2011), Kaddoum et al (2010), Kang et al (2014), Ryu and Lee (2013), Türk and Oğraş (2011), Yang et al (2015), Yang and Zhu (2013); used for image cryptosystems in , Z. L. Zhu et al (2011), Murillo-Escobar et al (2015), Oğraş and Türk (2016), Patidar et al (2011), Telem et al (2014), Wang et al (2011), Ye (2011), Ye and Guo (2014), N. Zhou et al (2011), and H. Zhu et al (2013); for power systems in Yibei et al (2011), Ginarsa et al (2013), Yau et al (2015), Ghasemi et al,(2014), ; X. Zhou et al (2012); Tur and Ogras (2021); for Steganographic systems in Ogras (2019), Kar et al (2018), Bilal et al (2014), Battikh et al (2014), and Saeed (2013). There are also some important studies using chaotic systems as secret key or bit generators in cryptography (Addabbo et al, 2009;Alhadawi et al, 2019;Moysis et al, 2020;Oğraş & Mustafa, 2017).…”