Impact of Wind Generation on Risk-based Security Assessment of Power System

TL;DR

This study investigates how varying levels of wind power generation influence the risk-based security assessment of power transmission systems, using simulation and optimization techniques to identify critical components and thresholds.

Contribution

It introduces a novel security indicator based on cost deviation and analyzes the impact of wind variability on system security using Monte Carlo simulations.

Findings

Identified critical lines and buses under different wind scenarios.

Determined the worst-case wind-generation threshold levels.

Demonstrated the effect of wind levels on system risk and security.

Abstract

The electric power system is one of the largest and most intricate infrastructures. Therefore, it is critical to assess and maintain its security. A power system security assessment is indispensable for identifying post-contingency issues, taking corrective measures, and protecting the system from blackouts. This paper examined the impact of wind generation on the risk-based security assessment of a power transmission network in the context of planning. DIgSILENT PowerFactory software was used to conduct the analysis using a combination of the brute force technique and the nonsequential Monte Carlo (MC) simulation method on the IEEE 39-bus transmission test system. Optimal power flow (OPF) was used to quantify security, considering (N-1), (N-2), and (N-3) line outages and an (N-1) bus outage. Moreover, the average cost deviation from the mean optimal system operating cost was proposed as a novel security indicator. The results obtianed accurately depicted the effects of changing wind generation levels on system security in terms of risk. The most and least critical line(s) and bus in the system, for different wind generation levels, were also determined. Moreover, the worst-case wind-generation threshold level using two different cost functions for wind was identified.