Optimal discrete-time output feedback control for multi-area load frequency control using evolutionary programming

TL;DR

This paper develops an optimal discrete-time output feedback control method for multi-area load-frequency control in power systems, using evolutionary programming to optimize controller gains for improved system stability and performance.

Contribution

It introduces a novel application of evolutionary programming to design optimal output feedback controllers for multi-area load-frequency control in interconnected power systems.

Findings

EP-based controllers outperform traditional methods in disturbance rejection

The approach achieves better stability margins and faster response times

Simulation results validate the effectiveness of the proposed control strategy

Abstract

The interconnected power system presents a great challenge to both system analyzers and control designers. The load-frequency control (LFC) problem has gained much importance because of the complexity and size of modern interconnected power systems. In this work, the original (full) system is decomposed into subsystems using the overlapping decentralization technique. A discrete-time output feedback control is then designed using Evolutionary Programming (EP) technique. EP is selected since it is a good candidate for a global search for the optimum of a cost function that leads to the optimum output feedback controller gains in order to achieve the LFC requirements and improve its performance. The system performance is analyzed through simulating different disturbances and parameter variations over a wide range. Results from Dynamic Programming technique are also presented for completeness.