A Bio-Fuel Power Generation System With Hybrid Energy Storage Under a Dynamic Programming Operation Strategy

A Bio-Fuel Power Generation System With Hybrid Energy Storage Under a Dynamic Programming Operation Strategy
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动态规划运行策略下的混合储能生物燃料发电系统

DOI:
10.1109/access.2019.2911454
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发表时间:
2019
期刊:
影响因子:
3.9
通讯作者:
Wu Qin Mu
Wu Qin Mu
中科院分区:
计算机科学3区
文献类型:
--
作者:
Chen Xiang Ping;Wang Yao Dong;Wu Qin Mu

文献摘要

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提出了一种基于动态规划(DP)的生物燃料混合储能分布式发电系统(BDG-HES)运行策略。该系统由一个生物燃料发动机和一个发电机组,六个电池组,一个超级电容器模块和四个电力电子转换器组成。它主要是为了满足一个典型的英国家庭的电力需求,而能量存储系统可以减少发动机的运行时间,以提高燃油效率。DP,作为一种优化策略,用于确定BDG-HES的操作方案。在本文中,四个案例研究进行了基于真实世界的测量数据。测试结果证实了所提出的方法的有效性。与传统的基于发电机组的电力系统相比,整个系统的效率在操作范围内提高了约19%。
This paper proposes a dynamic programming (DP)-based operational strategy for a biofuel distributed generation system with hybrid energy storage (BDG-HES). The proposed system consists of a biofuel-powered engine and a gen-set, six battery packs, a super-capacitor module, and four power electronic converters. It is primarily designed to meet the electrical demand of a typical UK family while the energy storage system can reduce the operating duration of the engine so as to improve the fuel efficiency. The DP, as an optimization strategy, is used to determine the operational scheme for the BDG-HES. In this paper, four case studies are carried out based on real-world measurement data. The test results have confirmed the effectiveness of the proposed methodology. The overall system efficiency is improved by approximately 19% over the operational range compared to a conventional gen-set based power system.