| 引用本文: | 杨 胜,樊艳芳,侯俊杰,等.可再生能源ALK-PEM联合制氢系统多时间尺度优化运行策略[J].电力系统保护与控制,2025,53(03):68-80.[点击复制] |
| YANG Sheng,FAN Yanfang,HOU Junjie,et al.Multi-time scale optimization strategy of a renewable energy ALK-PEM combined hydrogen production system[J].Power System Protection and Control,2025,53(03):68-80[点击复制] |
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| 摘要: |
| 随着用氢需求的逐渐增加，可再生能源制氢系统优化运行的研究已成为一个热门话题。然而，由于风光可再生能源出力的不确定性使得可再生能源制氢系统的优化运行变得复杂。针对风光出力不确定性对系统优化运行的影响，以系统日运行成本最低为目标，提出了可再生能源碱性-质子交换膜联合制氢系统多时间尺度优化策略。该策略依据系统中不同设备动态响应能力差异及其在系统中的具体功能，实行多时间尺度的运行调控策略。在日前阶段，构建了可再生能源碱性-质子交换膜联合制氢系统日前分布鲁棒优化模型。在日内阶段，采用滚动优化策略。在实时阶段，先通过超级电容平抑风光功率的剧烈波动，进而以最小化各设备出力调整变化量为目标，提出实时优化运行策略。算例结果表明，通过日前-日内-实时多时间尺度优化运行策略，可以提升系统的运行经济性。 |
| 关键词: 碱性-质子交换膜联合制氢 多时间尺度 分布鲁棒 滚动优化 |
| DOI：10.19783/j.cnki.pspc.240512 |
| 投稿时间：2024-04-27修订日期：2024-08-04 |
| 基金项目:新疆维吾尔自治区自然科学基金项目资助 (2022D01C365)；天山英才培养计划项目资助(2022TSYCLJ 0019) |
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| Multi-time scale optimization strategy of a renewable energy ALK-PEM combined hydrogen production system |
| YANG Sheng,FAN Yanfang,HOU Junjie,BAI Xueyan,XIE Ziyun |
| (School of Electrical Engineering, Xinjiang University, Urumqi 830047, China) |
| Abstract: |
| With the gradual increase in the demand for hydrogen, research on the optimal operation of a renewable energy hydrogen production system has become a hot topic. However, the uncertainty of wind and solar renewable energy output makes the optimal operation of these systems complex. To address the impact of wind and solar output uncertainty on system optimization, a multi-time scale optimization strategy for a renewable energy alkaline-proton exchange membrane combined hydrogen production system is proposed, aiming to minimize the system’s daily operating cost. The strategy implements a multi-time scale operational control based on the differences in dynamic response capabilities of different equipment in the system and their specific functions. In the day-ahead stage, a day-ahead distributed robust optimization model of the renewable energy alkaline-proton exchange membrane combined hydrogen production system is constructed. In the intra-day stage, a rolling optimization strategy is adopted. In the real-time stage, supercapacitors are used to smooth out the severe fluctuations in wind and solar power, and then the real-time optimal operation strategy is proposed to minimize the output adjustment variation of each device. The case study results show that the operational economy of the system can be improved by the multi-time scale optimization operation strategy from day-ahead to intra-day and to real-time. |
| Key words: alkaline-proton exchange membrane combined hydrogen production multiple-time-scale distributed robust rolling optimization |
