This paper presents the application of information gap decision theory (IGDT) to deal with uncertainties associated with load forecasting in dynamic, environment constrained, coordinated generation and transmission expansion planning. Traditionally, the gaseous emissions are constrained over the whole system. Conventional methods cannot guarantee a practical expansion plan since huge emissions can still occur on some buses in the power system. This paper introduces a per-bus emission limit to avoid extreme emissions in highly populated areas. The effect of nodal emission limits is fully discussed and compared to a conventional method. The model is kept linear using the big M approach to decrease the model computational burden. Reliability is considered by limiting the estimated load not served in each year over the planning horizon. The cost of fuel transportation and fuel limits are considered in order to make the model more realistic and practical. The effectiveness of the proposed model is verified by implementation on Garver 6 bus, IEEE 30 bus, and 118 bus test systems.

中文翻译：

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具有排放约束的发电和输电扩展规划的稳健模型

本文介绍了信息差距决策理论 (IGDT) 在动态、环境约束、协调发电和输电扩展规划中处理与负荷预测相关的不确定性的应用。传统上，气体排放在整个系统中受到限制。由于电力系统中的一些总线仍然会发生巨大的排放，因此常规方法无法保证切实可行的扩展计划。本文介绍了每辆公交车的排放限制，以避免在人口稠密地区出现极端排放。充分讨论了节点排放限制的影响，并与传统方法进行了比较。使用大 M 方法使模型保持线性，以减少模型计算负担。通过限制规划范围内每年未服务的估计负载来考虑可靠性。考虑了燃料运输成本和燃料限制，使模型更加逼真和实用。通过在 Garver 6 总线、IEEE 30 总线和 118 总线测试系统上的实现，验证了所提出模型的有效性。