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Generation Expansion Planning by MILP considering mid-term scheduling decisions

机译：MILP考虑中期调度决策的发电扩展计划

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摘要

This paper presents a mixed-integer linear programming model for the solution of the centralized Generation Expansion Planning (GEP) problem. The GEP objective is the minimization of the total present value of investment, operating and unserved energy costs net the remaining value of the new units at the end of the planning horizon. Environmental considerations are modeled through the incorporation of the cost of purchasing emission allowances in the units' operating costs and the inclusion of annual renewable quota constraints and penalties. A monthly time-step is employed, allowing mid-term scheduling decisions, such as unit maintenance scheduling and reservoir management, to be taken along with investment decisions within the framework of a single long-term optimization problem. The proposed model is evaluated using a real (Greek) power system. Sensitivity analysis is performed for the illustration of the effect of demand, fuel prices and CO_2 prices uncertainties on the planning decisions.
机译：本文提出了一种混合整数线性规划模型，用于解决集中式发电扩展计划（GEP）问题。 GEP的目标是在计划期末将投资，运营和未提供的能源成本的总现值减至新单位的剩余价值。通过将购买排放配额的成本纳入单位的运营成本中，并纳入年度可再生配额限制和罚款来模拟环境因素。采用每月时间步长，允许在单个长期优化问题的框架内将中期调度决策（如机组维护调度和油库管理）与投资决策一起进行。使用实际（希腊）电源系统评估提出的模型。进行敏感性分析以说明需求，燃料价格和CO_2价格不确定性对计划决策的影响。

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