考虑蓄电池与电制氢的多能源微网灵活性资源配置双层优化模型

Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H

高比例可再生能源的间歇性进一步加剧了电力系统安全稳定运行风险,使得灵活性资源配置愈发关键,因此有必要开展电力系统灵活性资源规划配置研究。文章提出了一种考虑蓄电池与电制氢设备特性的微网灵活性资源配置与运行协同优化双层模型。上层目标为系统年碳排放量最小与年化综合利润最大,下层目标为系统日运营利润最大,开展满足电-氢负荷下的容量规划案例分析,并设置不同灵活性技术成本下降情景,设计经济性、清洁性、灵活性指标对比评判不同情景下两种技术的竞争力。结果表明:所提优化配置方法能够以较小的经济代价实现系统环境效益的大幅提升,目前蓄电池相较电制氢技术更具综合性优势,但后者在未来具有更大的获益空间和市场潜力。

The intermittence of high proportion of renewable energy further aggravates the insecure operation of power system, which makes flexible resources configuration more critical. Therefore, it is necessary to conduct research on flexible resources planning and configuration of power system. For the multi-energy microgrid, a bi-level collaborative optimization method of configuration and operation of flexible resources is proposed in this paper, considering the characteristics of storage battery and power to hydrogen(P2H) equipment. Taking the minimum total annual carbon emissions and the maximum comprehensive annual profit as the objective functions for the outer layer model, and choosing maximum daily operating profit for the inner layer model, a case study under electricity-hydrogen load is carried out. Then cost reduction scenarios of these two flexibility technologies is depicted, and economic, cleanliness and flexibility indices are designed to compare and evaluate the competitiveness of the two technologies in different conditions. The results show that the proposed optimal configuration method can prominently improve the environmental benefits of the microgrid with less economic cost. At present, compared with P2H technology, storage battery technology has overwhelming advantages, but the former will have greater profit margins and market potential in the future.