Voltage Stability Constrained Unit Commitment in High IBG-Penetrated Power Systems

TL;DR

This paper addresses voltage stability challenges in high inverter-based generator (IBG) power systems by developing an optimization model that ensures stability while minimizing operational costs, using advanced SOC programming techniques.

Contribution

It introduces a novel analytic criterion for voltage stability at IBG buses and formulates a mixed-integer SOC programming model for optimal system scheduling.

Findings

The proposed model effectively maintains voltage stability during normal operation.

SOC reformulation simplifies complex nonlinear constraints.

Case studies demonstrate the model's effectiveness and impact of various factors.

Abstract

With the increasing penetration of renewable energy sources, power system operation has to be adapted to ensure the system stability and security while considering the distinguished feature of the Power Electronics (PE) interfaced generators. The static voltage stability which is mainly compromised by heavy loading conditions in conventional power systems, faces new challenges due to the large scale integration of PE-interfaced devices. This paper investigates the static voltage stability problem in high PE-penetrated system. The analytic criterion that ensures the voltage stability at the Inverter-Based Generator (IBG) buses are derived with the interaction of different IBGs being considered. Based on this, an optimal system scheduling model is proposed to minimize the overall system operation cost while maintaining the voltage stability during normal operation through dynamically optimizing the active and reactive power output from IBGs. The highly nonlinear voltage stability constraints are effectively converted into Second-Order-Cone (SOC) form, leading to an overall Mixed-Integer SOC Programming (MISOCP), together with the SOC reformulation of AC power flow and frequency constraints. The effectiveness of the proposed model and the impact of various factors on voltage stability are demonstrated in thorough case studies.