Optimal design and control of multiple boiler systems using fuzzy-evolutionary hybrid algorithm

A. Perera, P. Kumarage, K. Perera
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引用次数: 2

Abstract

Optimal load management of energy system is been widely discussed due to the higher depletion rate of fossil fuel resources and ever increasing energy demands. In such circumstances, optimal design and control of boiler systems play a major role. New algorithm based on fuzzy-evolutionary hybrid techniques is being introduced in this study to carry out this work. Detailed energy flow and lifecycle cost model was introduced in order to support the optimization. Finally, optimization algorithm was tested for two different load curves and obtained results were discussed.
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基于模糊进化混合算法的多锅炉系统优化设计与控制
随着化石燃料资源耗竭率的不断提高和能源需求的不断增加,能源系统的最优负荷管理成为人们广泛讨论的问题。在这种情况下,锅炉系统的优化设计和控制起着重要的作用。本研究引入了基于模糊进化混合技术的新算法来完成这项工作。为了支持优化,引入了详细的能量流和生命周期成本模型。最后,对两种不同负荷曲线下的优化算法进行了测试,并对结果进行了讨论。
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