MIP formulation improvement for large scale security constrained unit commitment with configuration based combined cycle modeling
MIP formulation improvement for large scale security constrained unit commitment with configuration based combined cycle modeling
复制标题
基于配置的联合循环建模对大规模安全约束单元承诺的 MIP 公式改进
DOI：
10.1016/j.epsr.2017.03.018
复制
发表时间：
2017
影响因子：
3.9
通讯作者：
Fengyu Wang
中科院分区：
文献类型：
--
作者：
Yonghong Chen;Fengyu Wang
作为前一天市场清算流程的一部分，中大陆独立系统运营商(MISO)解决了最大和最具挑战性的安全约束机组组合(SCUC)模型之一。SCUC模型较好的计算性能不仅提高了市场效率，而且有利于未来的市场发展。本文介绍了MISO中基于构型组合循环建模的SCUC公式的最新进展，包括对二元变量约束的改进、分段线性增量能量曲线(PWL)公式的改进以及通过聚集变量(AGG)来减少非零点。进一步的数学证明表明，改进的局部理想PWL模型是PWL代价函数的凸包络。为了说明所提公式的有效性，文中给出了基于MISO系统的数值结果和分析。
As a part of the day-ahead market clearing process, Midcontinent Independent System Operator (MISO) solves one of the largest and most challenging Security Constrained Unit Commitment (SCUC) models. Better computational performance of SCUC models not only improves the market efficiency but also facilitates future market developments. This paper introduces recent developments in SCUC formulation with configuration based combined cycle modeling in MISO, which include the improvement on constraints associated with binary variables, the improvement of formulation on piecewise linear incremental energy curve (PWL) and reduction of non-zeros by aggregating variables (AGG). Furthermore, mathematical proof shows that the proposed enhanced locally ideal PWL model is the convex envelope of the PWL cost function. To illustrate the effectiveness of the proposed formulation, numerical results and analysis based on MISO system are presented.