Towards Optimal System Scheduling with Synthetic Inertia Provision from Wind Turbines

TL;DR

This paper introduces a control framework for wind turbines to provide synthetic inertia, enhancing frequency stability and optimizing system scheduling in renewable-heavy power systems.

Contribution

It presents a novel control scheme for wind turbines to deliver synthetic inertia and integrates it into a stochastic system scheduling model for improved frequency stability.

Findings

Synthetic inertia provision reduces system costs.

Enhanced control scheme eliminates secondary frequency dips.

System scheduling benefits from dynamic inertia optimization.

Abstract

The undergoing transition from conventional to converter-interfaced renewable generation leads to significant challenges in maintaining frequency stability due to declining system inertia. In this paper, a novel control framework for Synthetic Inertia (SI) provision from Wind Turbines (WTs) is proposed, which eliminates the secondary frequency dip and allows the dynamics of SI from WTs to be analytically integrated into the system frequency dynamics. Furthermore, analytical system frequency constraints with SI provision from WTs are developed and incorporated into a stochastic system scheduling model, which enables the provision of SI from WTs to be dynamically optimized on a system level. Several case studies are carried out on a Great Britain 2030 power system with different penetration levels of wind generation and inclusion of frequency response requirements in order to assess the performance of the proposed model and analyze the influence of the improved SI control scheme on the potential secondary frequency dip. The results demonstrate that the inclusion of SI provision from WTs into UC can drastically impact the overall system costs.