Optimal Scheduling of Frequency Services Considering a Variable Largest-Power-Infeed-Loss

Abstract

Low levels of inertia due to increasing renewable penetration bring several challenges, such as the higher need for Primary Frequency Response (PFR). A potential solution to mitigate this problem consists on reducing the largest possible power loss in the grid. This paper develops a novel modelling framework to analyse the benefits of such approach. A new frequency-constrained Stochastic Unit Commitment (SUC) is proposed here, which allows to dynamically reduce the largest possible loss in the optimisation problem. Furthermore, the effect of load damping is included by means of an approximation, while its effect is typically neglected in previous frequency-secured-UC studies. Through several case studies, we demonstrate that reducing the largest loss could significantly decrease operational cost and carbon emissions in the future Great Britain's grid.

2018 IEEE Power & Energy Society General Meeting

References in corpus (1)

• Economic Value of Inertia in Low-Carbon Power Systems

Cited by in corpus (3)

• Optimal Portfolio of Distinct Frequency-Response Services in Low-Inertia Systems
• Pricing inertia and Frequency Response with diverse dynamics in a Mixed-Integer Second-Order Cone Programming formulation
• Ancillary services in Great Britain during the COVID-19 lockdown: a glimpse of the carbon-free future