Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
139 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Unit Commitment Considering the Impact of Deep Cycling (2006.00284v1)

Published 30 May 2020 in eess.SY and cs.SY

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.

Citations (4)

Summary

We haven't generated a summary for this paper yet.