Abstract

This paper provides the convex hull description for the basic operation of slow- and quick-start units in power-based unit commitment (UC) problems. The basic operating constraints that are modeled for both types of units are (1) generation limits and (2) minimum up and down times. Apart from this, the startup and shutdown processes are also modeled, using (3) startup and shutdown power trajectories for slow-start units, and (4) startup and shutdown capabilities for quick-start units. In the conventional UC problem, power schedules are used to represent the staircase energy schedule; however, this simplification leads to infeasible energy delivery, as stated in the literature. To overcome this drawback, this paper provides a power-based UC formulation drawing a clear distinction between power and energy. The proposed constraints can be used as the core of any power-based UC formulation, thus tightening the final mixed-integer programming UC problem. We provide evidence that dramatic improvements in computational time are obtained by solving different case studies, for self-UC and network-constrained UC problems.

Highlights

  • The short-term unit commitment (UC) problem is one of the critical tasks that is daily performed by different actors in the electricity sector

  • We provide evidence that dramatic improvements in computational time are obtained by solving different case studies, for self-UC and network-constrained UC problems

  • For the self-UC problems, 1bin and 3bin are modeled only considering (1) generation limits, (2) minimum up and down times, and (3) startup and shutdown capabilities: the same set of constraints presented in Sect

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Summary

Introduction

The short-term unit commitment (UC) problem is one of the critical tasks that is daily performed by different actors in the electricity sector. This paper further improves the work in [17] by including the operation of quick-start units and providing the convex hull description for the following set of constraints: generation limits, minimum up and down times, startup and shutdown power trajectories for slow-start units, and startup and shutdown capabilities for quickstart units. These convex hulls do not consider some crucial constraints such as ramping, the proposed constraints can be used as the core of any power-based UC formulation, tightening the final UC model.

Definitions
Unit’s technical parameters
Continuous decision variables et
Modeling the unit’s operation
Basic operating constraints
Slow-start units
Quick-start units
Total unit operation cost
Convex hull proof
Numerical results
Self-UC
Network-constrained UC
Conclusion
Findings
Objective function
Full Text
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