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Effective modeling and resolution of generation-dependent ramp rates for unit commitment

机译:单位承诺的生成依赖坡度的有效建模与解决

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The ramp rate of a combined cycle (CC) unit varies significantly with its generation level. In current unit commitment (UC) formulations, ramp rates of CC units are usually modeled as constants. Reserve capabilities may thus be significantly overestimated, causing serious consequences when reserves are needed. When generation-dependent ramp rates are considered, the performance of existing approaches decreases drastically and is not stable. This paper is on effective modeling and resolution of generation-dependent ramp rates in look-ahead UC problems. New ramp and reserve capability functions are established, and the UC formulation is further improved based on existing tight single-unit formulations. Testing results by using branch-and-cut (B&C) show that the solution quality and computational efficiency are improved and the performance is stable. These modifications can be directly incorporated in existing solvers. To exploit the tightened single-unit formation, the problem is also solved by the integration of our recent decomposition and coordination approach with B&C. Testing results show that time-consuming branching operations are much reduced as compared with those of B&C and the coordination is effective, demonstrating great potentials for complicated mixed-integer linear programming problems.
机译:组合循环(CC)单元的斜坡率随它的产生水平而变化显着。在当前单位承诺(UC)制剂中,CC单元的斜率通常是常量的。因此,储备能力可能会显着高估,在需要储备时造成严重后果。当考虑到依赖于生成的斜坡速率时,现有方法的性能急剧下降并且不稳定。本文采用了依赖于研究领域的UC问题的生成坡度速率的有效建模和解决。建立了新的斜坡和储备能力功能,基于现有的紧密单位配方进一步改善了UC配方。使用分支和切割(B&C)测试结果表明,提高了解决方案质量和计算效率,性能稳定。这些修改可以直接包含在现有溶剂中。为了利用收紧的单位形成,问题也通过与B&C的近期分解和协调方法的集成来解决。测试结果表明,与B&C的那些相比,耗时的分支操作远大,协调是有效的,展示了复杂的混合整数线性规划问题的巨大潜力。

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