| 引用本文: | 张 琳,谢洪途,赵路路,等.混合能源直流微电网能源优化管控策略研究[J].电力系统保护与控制,2024,52(3):141-151.[点击复制] |
| ZHANG Lin,XIE Hongtu,ZHAO Lulu,et al.Energy optimization and control strategy for a hybrid energy DC microgrid[J].Power System Protection and Control,2024,52(3):141-151[点击复制] |
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| 摘要: |
| 混合能源直流微电网在快速跟踪负载方面具有较大优势，弥补了固体氧化物燃料电池(solid oxide fuel cell, SOFC)直流微电网功率跟踪缓慢的问题。现有能源管控策略重点关注能源分配，对系统效率、运行安全性和燃料亏空方面缺乏相关研究和成熟策略。为此，提出了一种混合能源直流微型电网能源优化管控策略。首先，搭建了混合SOFC直流微电网模型。其次，采用最优操作点(optimal operating points, OOPs)实现最大效率，然后采用平均电流控制模式保证稳定的电力供应。最后，设计了基于SOFC电流的时滞控制算法来避免燃料亏空。实验结果表明，所提出的能源优化管控策略具有时间响应迅速、输出效率高和热特性良好等优势。 |
| 关键词: 混合能源直流微电网 能源优化管控 最优操作点 最大效率 稳态热安全 时滞控制 避免燃料亏空 |
| DOI：10.19783/j.cnki.pspc.230531 |
| 投稿时间：2023-05-10修订日期：2023-08-08 |
| 基金项目:广东省基础与应用基础研究基金项目资助(2023A1515011588，2021A1515010768)；深圳市科技计划项目资助(202206193000001，20220815171723002)；国家自然科学基金项目资助(62203465，62001523，62201614和6210593) |
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| Energy optimization and control strategy for a hybrid energy DC microgrid |
| ZHANG Lin1,XIE Hongtu2,ZHAO Lulu3,CHEN Yong4,WANG Yizhou4,LI Shifei1 |
| (1. Department of Early Warning Technology, Air Force Early Warning Academy, Wuhan 430019, China; 2. School of
Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China;
3. Unit 95369, the PLA, Foshan 528000, China; 4. Unit 95894, the PLA, Beijing 102211, China) |
| Abstract: |
| A hybrid energy DC microgrid has the great advantage of fast load tracking, which makes up for the slow power tracking problem of the solid oxide fuel cell (SOFC) DC microgrid. The existing energy management and control strategies focus on energy allocation but lack the relevant research and mature strategies in terms of system efficiency, operational safety, and fuel starvation. Therefore, an energy optimization and control strategy for hybrid energy DC microgrid is proposed. First, a hybrid SOFC DC microgrid model is constructed. Then, optimal operating points (OOPs) are used to achieve maximum efficiency. An average current control mode is adopted to ensure a stable power supply. Finally, a time-delay control algorithm based on the SOFC current is designed to avoid fuel starvation. The experimental results indicate that the proposed energy optimization and control strategy has advantages such as fast response, high output efficiency, and good thermal characteristics. |
| Key words: hybrid energy DC microgrid energy optimization and control optimal operating points (OOPs) maximum efficiency steady state thermal safety time delay control avoiding fuel starvation |
