Unit Commitment with N-1 Security and Wind Uncertainty

TL;DR

This paper introduces a new stochastic unit commitment model that ensures N-1 security and accounts for wind power uncertainty, optimizing grid reliability and cost-efficiency.

Contribution

It presents a novel SCCUC model reformulated as a mixed-integer second-order cone problem, with three algorithms for optimal solutions under wind uncertainty and contingencies.

Findings

The model effectively manages wind variability and system contingencies.

Algorithms achieve optimal solutions efficiently.

Case study demonstrates economic benefits and reliability improvements.

Abstract

As renewable wind energy penetration rates continue to increase, one of the major challenges facing grid operators is the question of how to control transmission grids in a reliable and a cost-efficient manner. The stochastic nature of wind forces an alteration of traditional methods for solving day-ahead and look-ahead unit commitment and dispatch. In particular, uncontrollable wind generation increases the risk of random component failures. To address these questions, we present an N-1 Security and Chance-Constrained Unit Commitment (SCCUC) that includes the modeling of generation reserves that respond to wind fluctuations and tertiary reserves to account for single component outages. The basic formulation is reformulated as a mixed-integer second-order cone problem to limit the probability of failure. We develop three different algorithms to solve the problem to optimality and present a detailed case study on the IEEE RTS-96 single area system. The case study assesses the economic impacts due to contingencies and various degrees of wind power penetration into the system and also corroborates the effectiveness of the algorithms.