基于雷暴算法的可再生能源经济电力优化

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI:10.1109/EECSI.2017.8239141

A. Afandi, Yunis Sulistyorini, G. Fujita, Nguyen Le Phuc Khai, N. Tutkun

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引用次数: 21

摘要

本文提出了一种考虑可再生能源的经济运行，并利用雷暴算法进行优化。该问题受到排放标准和62总线系统模型实施的各种技术限制的约束。仿真结果表明，可再生能源包涵渗透到发电机组的机组承诺中，对计算解具有很强的逼近性。这也影响到根据燃料成本和污染物排放的个人电力生产。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Renewable energy inclusion on economic power optimization using thunderstorm algorithm

This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge.

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来源期刊

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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