Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design

TL;DR

This paper presents a control affine modeling and supervisory control framework for hybrid power plants combining wind, solar, and battery systems, enabling stable and safe operation under varying conditions.

Contribution

It adapts existing wind, solar, and battery models into a control affine form and develops nonlinear control laws for supervisory control of hybrid power plants.

Findings

Successful tracking of utility demand signals

Stable operation under variable wind and irradiance

Effective supervisory control implementation

Abstract

Hybrid power plants (HPPs) combine multiple power generators (conventional/variable) and energy storage capabilities to support generation inadequacy and grid demands. This paper introduces a modeling and control design framework for hybrid power plants (HPPs) consisting of a wind farm, solar plant, and battery storage. Specifically, this work adapts established modeling paradigms for wind farms, solar plants and battery models into a control affine form suitable for control design at the supervisory level. In the case of wind and battery models, generator torque and cell current control laws are developed using nonlinear control and control barrier function techniques to track a command from a supervisory control law while maintaining safe and stable operation. The utility of this modeling and control framework is illustrated through a test case using a utility demand signal for tracking, time varying wind and irradiance data, and a rule-based supervisory control law.