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Using semidefinite relaxation to solve the day-ahead hydro unit commitment problem

机译:使用半定松弛解决日前水电机组承诺问题

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In this paper, we present a mixed-integer formulation with nonlinear production functions of the day-ahead hydro unit commitment problem for hydro-dominant power systems. The objective is to minimize unit startup and shutdown costs and maximize water use efficiency in the daily operation of multiple hydro plants. Determination of hourly generation dispatches and unit configurations is subject to reservoir dynamics, power balance, as well as target constraints coupling short-term generation with long-term reservoir operation goals. In addition, ac power flow constraints are considered. An equivalent quadratically-constrained quadratic formulation is approximated by successive convex semidefinite programming relaxations in a branch-and-bound algorithm for optimal solutions. Numerical case studies for several system configurations are presented to illustrate the effectiveness of the relaxation algorithm.
机译:在本文中,我们提出了一种混合整数公式,该公式具有针对水力优势电力系统的日前水电机组承诺问题的非线性生产函数。目的是在多个水力发电厂的日常运行中将机组的启动和关闭成本降至最低,并最大限度地提高用水效率。每小时发电调度和机组配置的确定取决于水库动态,功率平衡以及将短期发电与长期水库运行目标结合起来的目标约束。另外,考虑了交流潮流约束。在最优解的分支定界算法中,通过连续凸半定规划松弛来近似等效的二次约束二次公式。提出了几种系统配置的数值案例研究,以说明松弛算法的有效性。

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