Artificial Neural Network Controller in Two-Area and Five-Area System with Security Attack and Game-Theory Based Defender Action

S. Khadarvali (), V. Madhusudhan and R. Kiranmayi
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S. Khadarvali: Electrical and Electronics Engineering Department, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Anantapur 515002, Andhra Pradesh, India
V. Madhusudhan: Electrical and Electronics Engineering Department, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad 500090, Telangana, India
R. Kiranmayi: Electrical and Electronics Engineering Department, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Anantapur 515002, Andhra Pradesh, India

Energies, 2022, vol. 15, issue 15, 1-15

Abstract: Smart grids are the latest technology to generate and dispatch an optimal amount of power. Thus, there is a need for stability analysis in smart grid systems. If the smart grid is incorporated into the power system, then the phasor measurement unit (PMU) is used to measure the voltage, current, and frequency. Additionally, the central control unit monitors and controls the power. However, there is a possibility of inserting wrong data into the smart grid as the PMUs are transmitting the data through the Internet and other wireless protocols. There is a need to find solutions to this threat to make the power flow safe and secure in the future. In this paper, two-area load frequency control (LFC) is used for testing the game-theory based security treatment and improving the system’s stability by using an artificial neural network. The two-area system and five-area system are used to test the stability of the power system.

Keywords: artificial neural network; game-theory; load frequency control; multi-area power system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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