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首页> 外文期刊>Clean technologies and environmental policy >A scenario-based mixed integer linear programming model for composite power system expansion planning with greenhouse gas emission controls
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A scenario-based mixed integer linear programming model for composite power system expansion planning with greenhouse gas emission controls

机译：基于场景的混合整数线性规划模型用于温室气体排放控制的复合电力系统扩展规划

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摘要

In this paper, the influence of uncertain factors in the power supply system is considered by applying scenario-based programming techniques. A multi-period network design model for composite power system expansion planning is formulated as a mixed integer programming model. This model aims to identity the allocations of fossil fuel, cleaner energy sources, and nuclear power as well as the corresponding to construct transmission network to account for all scenarios of the uncertain factors of the power system. Electricity demands, a limitation of greenhouse gas emissions, and other operational constraints are deliberated in this model. This model is solved using CPLEX, and the Taiwan electric power system is used to illustrate the proposed model. Feasibility analysis of nuclear power energy policies and a low carbon power policy is also been conducted. Corporately implementing the low carbon energy policy increases the feasibility that Taiwan will gradually become nuclear free and more environmentally friendly. The cost per ton of carbon dioxide is estimated to be about NT$ 470.
机译：在本文中，通过应用基于场景的编程技术来考虑不确定因素在电源系统中的影响。将复合电力系统扩展规划的多周期网络设计模型表述为混合整数规划模型。该模型旨在确定化石燃料，清洁能源和核电的分配，以及相应的构造传输网络，以解决电力系统不确定因素的所有情况。此模型讨论了电力需求，温室气体排放的限制以及其他操作限制。使用CPLEX解决了该模型，并使用台湾电力系统对所提出的模型进行了说明。还进行了核电能源政策和低碳电力政策的可行性分析。企业实施低碳能源政策增加了台湾逐步实现无核和更加环境友好的可能性。每吨二氧化碳的成本估计约为新台币470元。

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