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针对不确定市场出清的电池储能投标策略
Bidding Strategies for Battery Energy Storage Addressing Uncertain Market Clearance
| 作者 | Weihang Ren · Yongpei Guan · Buck Feng |
| 期刊 | IEEE Transactions on Power Systems |
| 出版日期 | 2025年6月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 电池储能 批发市场 竞价策略 市场出清 网络流模型 |
语言:
中文摘要
电池储能所有者通过在用电低谷时段充电、高峰时段放电参与电力批发市场,有望实现盈利。同时,这也能促进对电池储能的投资,应对可再生能源发电的间歇性问题,减少化石能源的生产,最终推动全社会实现 100%清洁能源生产。尽管具有整体效益,但不同批发市场的运营实践,特别是不确定的市场出清行为,给电池储能所有者提交电能投标报价带来了潜在的不便和挑战,进而影响了其参与市场活动的总体利润表现。本文首先探索创新的投标策略,以在市场出清存在不确定性的情况下,实现电池储能所有者预期利润的最大化。具体而言,针对电池储能的三种不同市场出清场景,我们研究不同模型以推导最优投标策略。然后,我们提出一种创新的通用网络流模型,该模型能够处理这三种常见的市场出清场景。基于实际数据对所提出的模型进行了案例研究,通过一次性验证和滚动时域验证,结果显示了我们所开发的创新网络流模型在电池储能投标中的优势。
English Abstract
Charging during the off-peak hours and discharging during the peak hours could be profitable for the battery energy storage owners to participate in the wholesale electricity energy markets. Meanwhile, this promotes investment in battery energy storage, accommodating renewable generation intermittency, reducing fossil energy production, and finally achieving 100% clean energy production for the whole society. Albeit the overall benefit, the operational practice at different wholesale markets, in particular, the uncertain market clearance behavior, causes potential inconvenience and challenges for the owners to submit energy bidding offers, which affects the overall performance of market participation activities in terms of total profit. In this paper, we first explore innovative bidding strategies to maximize the expected profit of the battery energy storage owners under market clearance uncertainty. More specifically, We explore different models to derive optimal bidding strategies for three different market clearance settings for battery energy storage. Then, we propose an innovative general network-flow model that is capable of addressing all three different common market clearance settings. The final case studies for the proposed models are implemented based on the real-world data and the results show the advantages of our developed innovative network-flow model for the battery energy storage bidding, through both one-time and rolling-horizon validations.
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SunView 深度解读
该储能投标策略研究对阳光电源PowerTitan大型储能系统及ST系列储能变流器的市场化运营具有重要应用价值。文章提出的随机-鲁棒混合优化方法可直接集成到iSolarCloud云平台的智能调度模块,为储能电站提供考虑市场出清不确定性的投标决策支持。该策略能够优化充放电时序安排,在收益最大化与风险控制间动态平衡,提升储能资产在现货市场的盈利能力。特别适用于阳光电源在美国、澳洲等成熟电力市场的独立储能项目,可结合功率预测与SOC管理算法,增强储能系统的市场竞争力,为客户创造更高投资回报率。