Stability Constrained Optimization in High IBR-Penetrated Power Systems-Part II: Constraint Validation and Applications

TL;DR

This paper validates stability constraints for high IBR-penetrated power systems, demonstrating their effectiveness through simulations and applying them to optimize system scheduling and pricing for stability services.

Contribution

It introduces a unified SOC-based formulation of stability constraints, validates them against simulations, and develops a stability-aware economic scheduling and pricing scheme.

Findings

Constraints accurately predict system stability in simulations

Optimized scheduling improves economic operation while maintaining stability

Proposed pricing scheme incentivizes stability services

Abstract

Multiple operational constraints of power system stability are derived analytically and reformulated into Second-Order Cone (SOC) form through a unification method in Part I of this paper. The accuracy and conservativeness of the proposed methods are illustrated in the second part. The validity of the developed constraints is tested against dynamic simulations carried out based on the modified IEEE 39-bus system. Furthermore, the developed power system stability constraints are applied to the optimal system scheduling model. The resulting stability-constrained system scheduling problem aims to achieve most economic system operation while ensuring different stability in power systems with high Inverter-Based Resources (IBR) penetration. Moreover, based on the stability-constrained optimization model, a novel marginal unit pricing scheme is proposed to quantify the stability services of different units appropriately according to their economic value in maintaining system stability, thus providing rational incentives to the stability service provider and insightful information for the stability market development.