对相互连接的异质多微电网进行最佳的电热碳调度策略,考虑燃料电池车辆
Dahu Li1,2, Zirui Shao1, Wentao Huang1
1Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, China.
PloS one
|April 1, 2024
概括
本研究介绍了与燃料电池汽车 (HFCV) 集成的多微电网 (MMG) 的最佳调度策略. 该战略增强了低碳,经济的运营,减少了排放和成本.
科学领域:
- 能源系统工程 能源系统工程
- 整合可再生能源的整合
- 智能电网是一种智能电网.
背景情况:
- 新能源的透越来越多,需要先进的电网管理.
- 多微电网 (MMG) 和燃料电池车辆 (HFCV) 的兴起给电网带来了运营挑战.
- 将HFCV集成到MMG中需要复杂的调度,以实现高效和可持续的运行.
研究的目的:
- 为HFCVs提出一个最佳的相互连接的异质多微电网电力-热-碳排放策略.
- 解决多个微电网集成能源系统中低碳和经济运行的挑战.
- 在多微电网系统中促进电力,热量和碳的合作交易.
主要方法:
- 开发一个燃料电池车辆 (HFCV) 模型.
- 在多微电网环境中为合作电热碳交易构建最佳调度模型.
- 在不同HFCV透率下对多微电网相互作用的分析.
主要成果:
- 拟议的调度策略将碳排放量减少约7.12%.
- 与独立微电网运营相比,该战略使成本减少了约3.41%.
- 分析提供了对不同HFCV透水平的微电网之间的相互作用动态的见解.
结论:
- 开发的调度策略有效地实现了HFCV集成多微电网的低碳和经济运行.
- 合作电热碳交易是优化MMG性能的一种可行的方法.
- 这些发现支持将高碳汽车和可再生能源有效地整合到未来的电网中.
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