虚拟发电厂的协同低碳经济调度与微封装碳捕获和需求响应的虚拟发电厂
Huachen Liu1, Hao Lu1,2
1Laboratory of Energy Carbon Neutrality, School of Electrical Engineering, Xinjiang University, Urumqi, 830047, China.
ACS omega
|February 16, 2026
概括
集成到虚拟发电厂 (VPP) 模型中的微封装碳捕获 (MECC) 和需求响应 (DR) 优化了电网灵活性. 这种方法提高了可再生能源的利用率,并减少了能源消耗,以实现低碳未来.
科学领域:
- 电力系统工程 电力系统工程
- 化学工程是化学工程的重要组成部分.
- 环境科学 环境科学
背景情况:
- 可再生能源的整合挑战了电网的稳定性和灵活性.
- 传统的碳捕获 (CC) 和热电厂的灵活性对于低碳电网来说是不够的.
- 微封装碳捕获 (MECC) 与传统方法相比,提供更高的性能.
研究的目的:
- 提出和评估一个虚拟发电厂 (VPP) 模型,集成MECC和需求响应 (DR).
- 评估调度性能和优化灵活的资源.
- 为电力系统中MECC应用提供参考资料.
主要方法:
- 开发一个包含MECC和DR的VPP模型.
- 使用自主开发的微囊材料.
- 在碳交易机制下使用MATLAB/YALMIP与GUROBI进行模拟.
- 充分利用电热互补性和综合DR以优化资源.
主要成果:
- MECC减少了20.45%的能源消耗,并提高了发电效率.
- 风能发电增加了风能和光伏的利用,分别增加了2.17%和1.60%.
- 削减成本减少了3.45%. 削减成本减少了3.45%.
结论:
- 集成的MECC-DR VPP模型有效地解决了可再生能源整合的挑战.
- 这种方法在能源效率和可再生能源利用方面提供了显著的改进.
- 该研究为在电力系统中实施MECC提供了有价值的见解.
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