Model Predictive Control for a Medium-head Hydropower Plant Hybridized with Battery Energy Storage to Reduce Penstock Fatigue

TL;DR

This paper presents an MPC-based control strategy for hybrid hydropower plants with battery storage, aiming to reduce penstock fatigue while maintaining regulation performance, demonstrated through simulation on a 230 MW plant.

Contribution

It introduces a novel MPC framework that explicitly accounts for penstock fatigue in power set-point splitting for hybrid hydropower plants.

Findings

Significant reduction in penstock fatigue damage in simulations.

Maintained regulation performance despite fatigue mitigation.

Effective control of power split between hydropower and battery.

Abstract

A hybrid hydropower power plant is a conventional HydroPower Plant (HPP) augmented with a Battery Energy Storage System (BESS) to decrease the wear and tear of sensitive mechanical components and improve the reliability and regulation performance of the overall plant. A central task of controlling hybrid power plants is determining how the total power set-point should be split between the BESS and the hybridized unit (power set-point splitting) as a function of the operational objectives. This paper describes a Model Predictive Control (MPC) framework for hybrid medium- and high-head plants to determine the power set-point of the hydropower unit and the BESS. The splitting policy relies on an explicit formulation of the mechanical loads incurred by the HPP's penstock, which can be damaged due to fatigue when providing regulation services to the grid. By filtering out from the HPP's power set-point the components conducive to excess penstock fatigue and properly controlling the BESS, the proposed MPC is able to maintain the same level of regulation performance while significantly decreasing damages to the hydraulic conduits. A proof-of-concept by simulations is provided considering a 230 MW medium-head hydropower plant.