Dynamic programming for optimal operation of a biofuel micro CHP-HES system
Dynamic programming for optimal operation of a biofuel micro CHP-HES system
复制标题
生物燃料微型 CHP-HES 系统优化运行的动态规划
DOI：
10.1016/j.apenergy.2017.10.065
复制
发表时间：
2017-12-15
期刊：
影响因子：
11.2
通讯作者：
Roskilly, Tony
中科院分区：
文献类型：
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作者：
Chen, X. P.;Hewitt, N.;Roskilly, Tony
近年来，由于生物燃料和分布式发电（DG）的使用越来越多，热电联产系统（CHP）受到了广泛关注。传统上，它们连接到电网以平衡电力需求和供应。本研究探讨了离网（独立）生物燃料微型热电联产系统与混合储能（HES）（包括电池组和超级电容器）通过开发基于动态规划（DP）的能源管理策略。动态规划是近年来应用于能源系统的一种优化策略。然而，当变量的数量增加时，它们遭受维度问题。本文首次尝试将决策树应用于能源系统的多维动态规划问题。使用柴油-生物燃料的能量效率从45.77%提高到57.97%，该系统具有商业应用的潜力。实验测试结果验证了该方法的可行性和有效性。
Combined heat and power systems (CHPs) have received much attention in recent years due to increasing use of bio-fuels and distributed generation (DG). Conventionally, they are connected to the power grid to balance electrical demands and supplies. This research investigated an off-grid (stand-alone) biofuel micro CHP system with hybrid energy storage (HES) (including battery banks and super-capacitors) by developing an energy management strategy based on dynamic programming (DP). DP is an optimization strategy which has been applied to energy systems in recent years. However, they suffer from dimension problems when the number of variables increases. This work is the first attempt to apply the decision tree (DT) to multi-dimension DP solutions in energy systems. The energy efficiency is improved from 45.77% to 57.97% using diesel-biofuels and the system has a potential for commercial applications. The experimental test results validate its feasibility and effectiveness.