Multi-Stage Robust Transmission Constrained Unit Commitment: A Decomposition Framework with Implicit Decision Rules
Xuan Li, Qiaozhu Zhai, Xiaohong Guan

TL;DR
This paper introduces a multi-stage robust transmission-constrained unit commitment framework using implicit decision rules, offering a computationally efficient solution for large-scale systems with renewable energy uncertainties.
Contribution
It proposes a novel multi-stage robust TCUC model with implicit decision rules and a decomposition method, ensuring nonanticipativity and computational efficiency.
Findings
Method guarantees multi-stage robustness and nonanticipativity.
Efficient solution method suitable for large-scale systems.
Outperforms several state-of-the-art methods in tests.
Abstract
With the integration of large-scale renewable energy sources to power systems, many optimization methods have been applied to solve the stochastic/uncertain transmission-constrained unit commitment (TCUC) problem. Among all methods, two-stage and multi-stage robust optimization-based methods are the most widely adopted ones. In the two-stage methods, nonanticipativity of economic dispatch (ED) decisions are not considered. While in multi-stage methods, explicit decision rules (for example, affine decision rules) are usually adopted to guarantee nonanticipativity of ED decisions. With explicit decision rules, the computational burden can be heavy and the optimality of the solution is affected. In this paper, a multi-stage robust TCUC formulation with implicit decision rules is proposed, as well as a decomposition framework to solve it. The solutions are proved to be multi-stage robust…
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Taxonomy
TopicsElectric Power System Optimization · Optimal Power Flow Distribution · Smart Grid Energy Management
