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Mixed-integer nonseparable piecewise linear models for the hydropower production function in the Unit Commitment problem

机译:用于单位承诺问题的水电生产函数的混合整数非分段线性模型

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摘要

The hydro unit commitment (HUC) problem seeks to determine, for a short-term horizon with (semi)hourly discretization, the status (on/off) and generation level of each generating unit (GU) to meet plant and GUs constraints. In the HUC problem, the nonlinearities and non-convexities of the hydro production function (HPF), and the presence of binary variables that identify which GUs must be dispatched at each time step make the search for a solution challenging. Due to the recent developments in commercial mixed-integer linear programming (MILP) solvers, it is possible to approximate the nonlinear and nonconvex HPF through piecewise-linear (PWL) models with reasonable accuracy. Throughout this paper we emphasize the potential advantages of seven MILP formulations that can be categorized as parametric and non-parametric methods. Given the complexities of state-of-the-art solvers, it is hard to predict which formulation performs better. Although some guidelines can be found in literature, the formulation that performs best can be strongly dependent on the specific problem structure or data. In this context, we develop and compare seven multidimensional nonseparable PWL models for representing the HPF in the HUC problem. To assess the performance of each PWL model, we present results using a 6-GU hydro plant of two different types.
机译:水电单位承诺(HUC)问题旨在确定短期地平线(半)小时离散化,每个生成单位(GU)的状态(开/关)和发电水平,以满足工厂和GUS约束。在HUC问题中,水电生产函数(HPF)的非线性和非凸形以及在每次步骤中必须派遣哪个GUS的二进制变量的存在,从而寻找解决方案具有挑战性的。由于近期商业混合整数线性编程(MILP)求解器的开发,可以通过具有合理精度的分段 - 线性(PWL)模型来近似非线性和非渗透HPF。在本文中,我们强调了七种MILP配方的潜在优势,可以作为参数和非参数方法分类。鉴于最先进的求解器的复杂性,很难预测哪种配方更好。虽然有些指导方针可以在文献中找到,但表现最好的制剂可以强烈依赖于具体的问题结构或数据。在这种情况下,我们开发和比较七个多维不可分解的PWL模型,用于代表HUC问题中的HPF。为了评估每个PWL模型的性能,我们使用两种不同类型的6古氏水力发电植物呈现结果。

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