Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller

Abstract

The large-scale, nonlinear and uncertain factors of hybrid power systems (HPS) have always been difficult problems in dynamic stability control. This research mainly focuses on the dynamic and transient stability performance of large HPS under various operating conditions. In addition to the traditional synchronous power generator, wind-driven generator and ocean wave generator, the hybrid system also adds battery energy storage system and unified power flow controller (UPFC), making the system more diversified and more consistent with the current actual operation mode of the complex power grid. The purpose of this study is to propose an adaptive least squares Petri fuzzy probabilistic neural network (ALTS-PFPNN) for UPFC installed in the power grid to enhance the behavior of HPS operation. The proposed scheme improves the active power adjustment and dynamic performance of the integrated wave power generation and offshore wind system under a large range of operating conditions. Through various case studies, the practicability and robustness of ALTS-PFPNN method are verifying it by comparison and analysis with the damping controller based on the designed proportional integral differential (PID) and the control scheme without UPFC. Time-domain simulations were performed using Matlab-Simulink to validate the optimal damping behavior and efficiency of the suggested scheme under various disturbance conditions.

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

“…However, the operation of the backpropagation algorithm, i.e., error transformation, can have an adverse effect on the performance of the system. The delta learning algorithm is adopted [18] in this paper and the cost function, E, for the delta learning algorithm can be formulated as shown in Equation ( 25):…”

“…There are also many research papers on the power compensation components of renewable energy, such as static var compensators (SVCs) and their related controller design [17], including many stability controls. However, the control performance of a STATCOM in power systems depends on its control strategy [18]. Increasing the compensation capacity of the transmission system and locating the installation correctly may improve the utilization rate of the transmission system and make it more stable during transient events, according to the study in reference [16].…”