改进差分进化算法在火力发电厂经济排放调度中的应用

Proceedings of the 3rd International Conference on Machine Learning and Soft Computing Pub Date : 2019-01-25 DOI:10.1145/3310986.3311003

Nguyen Tan Hung, Nguyen Hung, P. Nguyen, Dinh Thanh Viet

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引用次数: 1

摘要

本文采用改进的差分进化(IDE)算法对发电源进行优化，在保持功率平衡和功率限制约束的条件下，使发电成本和气体排放最小。并应用常规DE法对其效率进行了比较和澄清。在标准的ieee30总线测试系统上应用了DE和IDE算法。仿真结果表明，该方法能有效地解决经济和排放调度问题。

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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Application of Improved Differential Evolution Algorithm for Economic and Emission Dispatch of Thermal Power Generation Plants

This paper applies improved differential evolution (IDE) algorithm to optimize electricity genenation sources in order to minimize the cost of generation and gas emission with the condition of keeping constraints of power balance and power limits. The conventional DE method is also applied for comparing and make clarification the efficiency of the IDE. The DE and IDE alogorithms are applied on the standar IEEE 30 bus test system. The simulation results of proposed method are compared with those of the conventional DE approach which showing that is efficient for solving the economic and emission dispatch problems.

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Proceedings of the 3rd International Conference on Machine Learning and Soft Computing

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