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Multi-stage robust transmission constrained unit commitment: A decomposition framework with implicit decision rules
DOI:10.1016/j.ijepes.2019.01.020.png)
摘要
En 中文
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 problem. Among all methods, two-stage and multi-stage robust optimization-based methods are the most widely adopted ones. In the two-stage methods, non-anticipativity of economic dispatch (ED) decisions are not considered. While in multi-stage methods, explicit decision rules (like affine decision rules) are adopted to guarantee non-anticipativity of ED decisions, 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 and non-anticipativity of ED decisions is guaranteed. Meanwhile, a computationally efficient time-decoupled solution method for the feasibility check subproblems is also proposed, such that the method is suitable for large-scale TCUC problems with uncertain power injections. Numerical tests are conducted on IEEE 118-bus system and Polish 2383-bus system. The proposed method outperforms the multi-stage robust method with explicit decision rules in solution's economic performances, and is more computationally efficient than the all-scenario-feasible method. The effectiveness of time-decoupled solution method is also verified.
Keyword:
Unit commitment
Multi-stage robust optimization
Decomposition approach
Non-anticipative constraints
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期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
机构
引用论文
Duality-Free Decomposition Based Data-Driven Stochastic Security-Constrained Unit Commitment基于数据驱动的无对偶分解的随机安全约束机组组合
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