Abstract
This article forecasts the performance of smart-grid electrical transmission systems and integrated battery/FC/Wind/PV storage system renewable power sources in the context of unpredictable solar and wind power supplies. The research provided a hybrid renewable energy sources smart grid power system electrical frequency control solution using adaptive control techniques and model predictive control (MPC) based on the Multi-Objective Practical Swarm Optimization Algorithm MOPSO. To solve the problems of parameter tuning in Load Frequency Control, the suggested adaptive control approach is utilized to accomplish on-line adjustment of the Load Frequency Control parameters. During the electrical grid's integration, the system under investigation is a hybrid Wind/PV/FC/Battery smart grid with variable demand load. To achieve optimal outcomes, all of the controller settings for various units in power grids are determined by means of a customized objective function and a particle swarm optimization method rather than a regular objective function with fluctuating restrictions. To suppress the consumption and generation balance, MPCs were designed for each of the Storage Battery, Wind Turbine Generation, and the model Photovoltaic Generation. In addition, demand response (real-time pricing) was used in this scheme to reduce the load frequency by adjusting the controlled loads. The suggested control strategy is evaluated in the Simulink /MATLAB environment in order to analyse the suggested approach's working in the power system, as well as its effectiveness, reliability, robustness, and stability. The simulation findings show that the proposed control method generally converges to an optimal operating point that minimises total user disutility, restores normal frequency and planned tie-line power flows, and maintains transmission line thermal restrictions. The simulation results further indicate that the convergence holds even when the control algorithm uses inaccurate system parameters. Finally, numerical simulations are used to illustrate the proposed algorithm's robustness, optimality, and effectiveness. In compared to previous methodologies, the system frequency recovers effectively and efficiently in the event of a power demand disturbance, as demonstrated. A sensitivity test is also performed to assess the suggested technique's effectiveness.
Highlights
This article forecasts the performance of smartgrid electrical transmission systems and integrated battery/FC/Wind/PV storage system renewable power sources in the context of unpredictable solar and wind power supplies
To determine the efficacy and robustness of the work, the performance of controllers adjusted by objective functions produced based on MOPSO and MOGA is compared to examine the influence of various criteria used to construct objective functions on the best solutions to the LFC issue
The frequency fluctuation MOPSO control strategy has high performance, even if there are still some disturbances induced by solar radiation, but it demonstrates the efficacy and durability of a renewable power system frequency control strategy
Summary
Power systems are facing new issues in balancing supply and demand and sustaining normal frequency as the use of renewable energy supplies grows [1]. Existing load frequency control system settings are often set based on trial and errors approaches, traditional methodologies and past experiences, and are unable to provide acceptable dynamic performance across a wide variety of load situations and operating circumstances. Existing load frequency control system settings are often set based on trial and errors approaches, traditional methodologies, and past experiences, and are unable to provide high dynamical performance across a wide range of operating circumstances and load scenarios. A continuous droop is offered as a representation of virtual inertia of rotating masses in the suggested dynamic WTG model (RWT) This droop can play a pivotal role in improving frequency deviation and compelling generating units to inject active power while some critical events occur. Because there is frequently a common MPC controller between the load control loop and the frequency control loop, these two loops are referred to as the load-frequency control loop
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
