Differential Game Theory in Multi-Area System Using Nature-Inspired Optimization Algorithms

Authors

  • S. Khadarvali , Dr. V. Madhusudhan , Dr. R. Kiranmayi

Abstract

In latest power system due to the increased necessity of power infiltration of distribution generation increases. These infiltrations causes problem of deviance in tie-line power flows and frequency of each control area. In this paper the multi-area power system with renewable energy is proffered. Here two thermal reheat power plant, two hydro and one renewable energy is considered as area-1, area-2, area-3, area-4 and area-5 correspondingly. Cyber-attacks and false data injections can be done mostly on automatic generation control systems. Because of cyber security attack there will be power change in the entire control area which may prime to system failure or entry of false data. In this paper problem articulation is done based on differential game theory. For quick response and stability enrichment of the system the differential game theory controller which is optimized by using nature motivated algorithms like Antlion Optimizer (ALO) and Flower Pollination Algorithm is analyzed. For building the control areas and programing the algorithms MATLAB 2017b software is used.

Published

2020-11-01

Issue

Section

Articles