An Efficient Design of Adaptive Model Predictive Controller for Load Frequency Control in Hybrid Power System

Abstract

The technology has proceeded so much that the power system should be substantial and explicit to give optimal results. Ever-increasing complexities of the power system and load disparity cause frequency fluctuations leading to efficiency degradation of the power system. In order to give a suitable real power output, the system entails an extremely perceptive control technique. Consequently, an advanced control method, that is, an adaptive model predictive controller (AMPC), is suggested for load frequency control (LFC) of the series power system which comprises photovoltaic (PV), wind, and thermal power. The suggested method is considered to enhance the power system execution as well as to decrease the oscillations due to a discrepancy in the system parameters and load disturbance under a multi-area power system network. The AMPC design verifies the constant frequency by maintaining a minimum steady state error under varying load conditions. The proposed control approach pledge that the steady-state error of frequencies and interchange of tie line powers is maintained in a given tolerance constraint. The effectiveness of the proposed controller is scrutinized by conventional controllers like genetic algorithm-tuned PI (GA-PI), firefly algorithm-tuned PI (FA-PI), and model predictive controller (MPC) to show the competence of the proposed method.

Cascaded Fractional Model Predictive Controller for Load Frequency Control in Multiarea Hybrid Renewable Energy System with Uncertainties

“…The wind farm includes number of wind turbines where the total capacity of the wind farm is 33 MW. The modelling of the wind farm sys-tem representing pitch control, pitch actuator, and induction generator transfer functions is mentioned in [40] under unbalanced loading [36]. The modelling of the thermal system units is formulated as follows: the power generating capacity of the thermal power plant is 4000 MW operational at 2200 MW at 50 Hz.…”

“…Likewise, variable structure gain scheduling model predictive controller (GSMPC-PI) was introduced to cope up the LFC problem under renewable-based power system in [35]. The adaptive design for MPC was also proposed in [36], for multiarea power system. Similarly, AMPC controller was formulated to counter frequency oscillations that are perturbed due to load disturbance in a hybrid power system [37].…”

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

“…A cascaded fractional MPC controller design has been proposed to counter the frequency oscillations under rapid changes in load [31]. The efficient design of an adaptive MPC has been designed to mitigate frequency fluctuations [32]. Examining the literature overview, this paper presents the following originalities:…”

An Intelligent Model Predictive Control Strategy for Stable Solar-Wind Renewable Power Dispatch Coupled with Hydrogen Electrolyzer and Battery Energy Storage

“…However, because of their cost or capacity [10], many of these devices are not appropriate for wind-solar generation [11,12]. Some of the issues connected with deploying ESS in wind and solar energy systems include ramp rates [13], transmission losses, and limiting the power output of wind-solar farms [4]. The Battery Energy Storage System [11,12] is the energy storage system that works best with wind-solar power generation as it has many advantages, particularly its ease of implementation and modest needed installation space, the BESS is currently the most frequently utilized ESS to alleviate power fluctuation [14].…”