Unit Commitment Considering the Impact of Deep Cycling

TL;DR

This paper introduces a novel unit commitment model that incorporates the economic and environmental costs of deep cycling in power plants, using a piece-wise linear cost approach to address nonconvexities.

Contribution

It proposes a convex linear programming formulation for unit commitment considering ramping impacts, accounting for nonconvex costs due to deep cycling.

Findings

The model effectively captures ramping costs and their impact on unit commitment decisions.

Governmental policies influence ramping strategies and associated costs.

The approach provides a more realistic framework for integrating wind energy and reducing emissions.

Abstract

Wind energy has been integrated into the power system with the hope that it improves the energy efficiency and decreases greenhouse gas emission. However, several studies over the world imply that the result was in the opposite way that was hoped mainly because of the negative correlation between wind availability and load. Under the situation, coal power plants are forced to cycle while they are not designed to do so. To prevent this unwanted result from occurring, a unit commitment decision should include the use of fuel and the emission rate during the ramp up/down process. This paper proposes a new unit commitment decision process to accommodate the economic and the environmental costs associated with the ramping process. The costs are, in general, not convex because there is positive cost if a generator output changes significantly regardless of directions. As a result, the problem might be nonconvex. A piece-wise linear cost curve is introduced to model the impact of ramping processes. With the curve, a convex linear programming is formulated, and the impact of a governmental policy is discussed.