优化电力热区域综合能源系统的容量配置,考虑到供需不确定性
Tianhe Sun1, Runqi Sun1, Xiaoyi Qian1
1Key Laboratory of Energy Saving and Controlling in Power System of Liaoning Province, Shenyang Institute of Engineering, Shenyang, P R China.
PloS one
|April 24, 2025
概括
本研究通过开发强大的配置模型来优化区域综合能源系统,以应对能源供应和需求的不确定性. 这种方法提高了可靠性和风能集成,同时降低了成本.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 整合可再生能源的整合
背景情况:
- 配置区域综合能源系统 (IES) 对于经济和效率改进至关重要.
- 能源供需的不确定性会影响电力可靠性和可再生能源的使用.
- 现有的模型可能导致过于保守或经济效率低下的系统设计.
研究的目的:
- 为区域IES建立一个最佳的容量配置模型,用于多向量技术.
- 解决供需不确定性对电力可靠性和风能消耗的双重影响.
- 尽量减少综合能源系统的总投资和运营成本.
主要方法:
- 开发了一个min-max-min两阶段的强大的优化配置模型.
- 用一个独立于概率分布的盒式不确定性集来建模不确定性.
- 列和约束生成算法和强二元论被用于问题分解和高效解决.
主要成果:
- 拟议的模型有效地管理风能和需求的不确定性,提高系统可靠性.
- 该模型提高了风力发电在区域能源系统中的整合性能.
- 可调节的参数允许灵活控制配置方案的保守性.
结论:
- 开发的强大的优化模型为不确定的IES的容量配置提供了有效的解决方案.
- 该方法确保了可靠性和经济效率的提高,通过在中国北部的案例研究来验证.
- 不确定性调整参数为平衡稳健性和经济目标提供了一个实用的工具.
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