风能热相互连接的低碳电力系统的调度优化,与储存集成
Haifeng Wang1, Xiaoran Ma2, Xingyu Zhao3
1Department of Economics and Management, North China Electric Power University, No. 689, Huadian Road, Baoding, 071003, China.
Environmental science and pollution research international
|November 4, 2023
概括
将储能集成到风能热电系统中可以提高风能消耗,降低碳排放. 虽然初始成本可能会增加,但这种方法显著减少了环境影响和运营费用.
科学领域:
- 可再生能源系统可再生能源系统
- 动力系统优化 动力系统优化
- 环境工程 环境工程
背景情况:
- 增加风能整合对于减少碳排放至关重要.
- 互连的电力系统需要高效的能源管理策略.
- 储存气为管理可再生能源间歇性提供了一个潜在的解决方案.
研究的目的:
- 提出和分析一个风能热联网的低碳电力系统与储存.
- 开发一种能源调度优化模型,以最大限度地降低日常运营成本.
- 评估利用和碳捕获和储存 (CCS) 对系统性能的影响.
主要方法:
- 构建了一个包含环境成本的能源调度优化模型.
- 利用鱼优化算法来优化系统变量.
- 模拟了各种场景,包括不同的应用和CCS的存在/不存在.
主要成果:
- 与S1.1.相比,生产气 (S2) 和燃料电池 (S3) 的系统显示了更高的经济成本,但降低了环境成本.
- 随着气储存,风力抑制率显著下降,从11.0% (S1) 降至3.8% (S2/S3) 没有CCS,从9.0% (S1) 降至2.1% (S2/S3) 有CCS.
- 碳捕获和储存 (CCS) 减少了热能输出,改善了风能消耗,但增加了总体成本.
结论:
- 储存能有效地促进风能消耗,并降低风热互联系统的系统运行成本.
- 虽然CCS增强了环境效益,但其当前的经济可行性有限.
- 储能集成是低碳电力系统的一个有前途的战略.
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