集成能源系统的优化调度:使用LSDBO-WOA算法进行多维电,,氨,热协同方法
Naiwei Tu1, Jinda Yang2, Xin Yan1
1Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, Liaoning Province, China.
Scientific reports
|March 12, 2026
概括
本研究介绍了一种使用液态氨作为中心枢纽的新型综合能源系统,提高了可再生能源的灵活性. 新系统实现了超过97.66%的能源效率,并减少了碳排放.
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
- 化学工程是化学工程的重要组成部分.
背景情况:
- 现有的可再生能源系统缺乏建筑整合和运营灵活性.
- 当前的优化算法在能源系统中与复杂,非线性,多目标问题作斗争.
- 基于氨的能源系统显示出潜力,但需要加强整合和优化.
研究的目的:
- 提出一个具有协同作用的综合能源系统,以液态氨为中心枢纽.
- 开发一个强大的双层优化模型,用于容量规划和调度.
- 为复杂的能源系统挑战引入混合优化算法 (LSDBO-WOA).
主要方法:
- 制定一个双层优化模型,将能力规划和随机调度结合起来.
- 开发一个混合优化算法 (LSDBO-WOA),集成LSDBO和WOA.
- 使用氨技术集成多种能源流 (电力,,氨,热).
主要成果:
- 与NSGA-II.II相比,LSDBO-WOA算法表现出优越的收性能 (18.6%的改进).
- 拟议的电--氨-热系统实现了超过97.66%的整体能效.
- 与没有氨集成的系统相比,碳排放量减少了7.3%.
结论:
- 拟议的以氨为中心的综合能源系统增强了适应能力和运营灵活性.
- LSDBO-WOA算法有效地解决了能源系统中复杂的非线性多目标优化问题.
- 液态氨是高效和可持续的多能源系统的可行中心枢纽.
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