A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system

TL;DR

This paper introduces a novel load frequency control method using an optimized coefficient diagram approach combined with a water cycle algorithm, effectively handling nonlinearities and uncertainties in interconnected power systems.

Contribution

It presents a new hybrid control technique that integrates CDM with metaheuristic optimization for improved power system stability.

Findings

Robust control performance under system uncertainties

Faster and more stable dynamic responses

Outperforms classical controllers in tests

Abstract

This paper proposes a novel load frequency control (LFC) approach formulated on an optimal structure of the coefficient diagram method (CDM) in a two-area thermal power system. As part of a realistic analysis, nonlinearities related to governor dead band (GDB) and generation rate constraint (GRC) have been considered. In this article, a hybrid CDM method is combined with the optimization of its mathematical equations to achieve an innovative controller. Furthermore, a new metaheuristic optimization technique called the water cycle algorithm (WCA) is used to determine the optimal coefficients of the CDM controller. For the purpose of demonstrating the validity of the proposed scheme, a wide range of uncertainties in the dynamic parameters of a nonlinear power system were tested. In addition, a comparative study is presented between the results obtained from a classical integral, CDM alone, optimized Fuzzy, optimized PID, and the suggested controller. In this new approach to improved control, algebraic support provides a robust and responsive controller that can provide fast and stable dynamic responses and effectively overcome the detrimental effects of nonlinearities and uncertainties in the parameters of the power system.