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Chance-Constrained Generation Expansion Planning Based on Iterative Risk Allocation

机译:基于迭代风险分配的机会约束发电规划

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This paper deals with the development of an efficient iterative method to solve the chance-constrained generation expansion planning (GEP) problem. Reliability in an economic manner is the main criterion when addressing GEP. The algorithm proposed here minimizes the cost of achieving the required reliability. Computational results based on the IEEE 30- and 118-bus test systems are presented. The proposed method decreases the cost in comparison to existing methods for the same reliability level.
机译:本文涉及开发有效的迭代方法来解决机会约束的发电扩展规划(GEP)问题。以经济方式的可靠性是解决GEP时的主要标准。所提出的算法可以最大限度地减少实现所需可靠性的成本。提出了基于IEEE 30和118总线测试系统的计算结果。与现有方法相比,所提出的方法降低了相同可靠性水平的方法。

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