Multiple contingency analysis of power systems

Salami, Younes (2017) Multiple contingency analysis of power systems. Masters thesis, Memorial University of Newfoundland.

[English] PDF - Accepted Version Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. Download (2MB)

Abstract

Power system security and reliability has a higher priority in power system operations. Power systems are exposed to any failures due to their structures. Preventing any unscheduled outage from happening within the power system is impossible, but analyzing possible outages in order to predict their consequences is essential. Contingency analysis is an important tool in evaluating power system security. It models any single or multiple outages to predict power system state variables after them. By analyzing and preparing for outages, their consequences can be contained. The N-1 contingency which models any single outages of a power system is studied. A DC power flow is used to identify critical single line outages, and the selected critical contingencies are evaluated in detail by an AC power flow. A DC power flow performance in estimating line active power flow is evaluated by an appropriate index. It is shown that a DC power flow has an acceptable performance in contingency analysis. The main goal of this study is to identify critical double line outages whose outage will lead to line flow violations in a power system. This is defined as N-2 contingency analysis. Evaluating all possible N-2 contingencies is a huge burden computationally. Identifying important double line outages without evaluating all N-2 contingencies by either an AC power flow or DC power flow is possible. Screening algorithms are used to identify critical outages based on line outage distribution factors and N-1 contingency analysis. The results are compared to the ones obtained from full AC power flow. It is shown that these algorithms are able to identify a very high percentage of the double line outages that result in line flow violations.

Actions (login required)

View Item