Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation

TL;DR

This paper proposes a coordinated management strategy for multiple DERs to enhance system stability by jointly providing oscillation damping and inertia support, using an optimization approach with economic incentives.

Contribution

It introduces a convex optimization framework for joint damping and inertia provision in DERs, considering network effects and economic incentives, with theoretical guarantees and practical effectiveness.

Findings

Effective promotion of system stability through joint DER control.

Cost-efficient allocation of damping and inertia resources.

Numerical results demonstrate improved stability and economic benefits.

Abstract

Power systems dominated by converter-interfaced distributed energy resources (DERs) typically exhibit weaker damping capabilities and lower inertia, compromising system stability. Although individual DER controllers are evolving to provide superior oscillation damping capabilities and inertia supports, there is a lack of network-wide coordinated management measures for multiple DERs, potentially leading to unexpected instability and cost-effectiveness problems. To address this gap, this paper introduces a hybrid oscillation damping and inertia management strategy for multiple DERs, considering network coupling effects, and seeks to encourage DERs to provide enhanced damping and inertia with appropriate economic incentives. We first formulate an optimization problem to tune and allocate damping and inertia coefficients for DERs, minimizing associated power and energy costs while ensuring hard constraints for system frequency stability and small-signal stability. The problem is built upon a novel convex parametric formulation that integrates oscillation mode location and frequency trajectory requirements, equipped with a theoretical guarantee, and eliminating the need for iterative tuning and computation burdens. Furthermore, to increase the willingness of DERs to cooperate, we further design appropriate economic incentives to compensate for DERs' costs based on the proposed cost minimization problem, and assess its impact on system cost-efficiency. Numerical tests highlight the effectiveness of the proposed method in promoting system stability and offer insights into potential economic benefits.