A novel predictive optimal control strategy for renewable penetrated interconnected power system

• Published in: Optimal control applications & methods Vol. 45; no. 5; pp. 2190 - 2205
• Main Authors: Kumar, Vineet, Sharma, Veena, Naresh, Ram, Arya, Yogendra
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.09.2024; Wiley Subscription Services, Inc
• Subjects: Control methods; Controllers; Electric potential; Electric vehicles; Frequency deviation; frequency management; integrated power system; Optimal control; Photovoltaic cells; Power flow; Predictive control; random loading; Robust control; stochastic generation; Stochastic models; Voltage; voltage regulation
• ISSN: 0143-2087; 1099-1514
• DOI: 10.1002/oca.3144

The stable and efficient regulation of voltage and frequency is a critical issue associated with the functioning of modern power system network having renewable integration. This manuscript focuses on the concurrent regulation of voltage and frequency in a power network comprising multiple generating sources. Herein, along with conventional thermal and diesel plants, renewable generations from different sources have been considered such as wind and solar photovoltaic (PV) resources. Further, in a fresh attempt, the authors have modeled wind and solar PV generation using two different stochastic modeling methods concerning combined voltage and frequency loops in the regulated power system model. Furthermore, the novel Leader Harris Hawks Optimized Model Predictive Controller (MPC‐LHHO) has been applied to concurrently minimize the voltage and frequency deviations in the given power network. To address the intermittent nature of load and renewable generations, various auxiliary frequency controllers, such as the unified power flow controller (UPFC) and electric vehicle (EV) integration with the grid, have been implemented. The robustness of the proposed control method has been successfully validated through diverse scenarios of random loadings. This manuscript addresses voltage and frequency regulation in modern power systems with renewable integration. It models diverse sources including wind and solar PV with two stochastic methods. The Leader Harris Hawks Optimized Model Predictive Controller (MPC‐LHHO) minimizes voltage and frequency deviations. To manage intermittent load and renewables, it employs auxiliary controllers like UPFC and EV‐grid integration. Validation across random loading scenarios demonstrates the robustness of the proposed control approach.