| 王天生,梁俊鹏,刘新刚,李凤婷.计及碳-绿证市场交易的含电解铝负荷的工业园区风光储容量优化配置[J].电力需求侧管理,2026,28(4):122-128 |
| 计及碳-绿证市场交易的含电解铝负荷的工业园区风光储容量优化配置 |
| Optimal capacity allocation of wind-photovoltaic-storage in industrial parks with electrolytic aluminum loads considering carbon-green certificate market trading |
| 投稿时间：2026-03-05 修订日期：2026-05-07 |
| DOI：10.3969/j.issn.1009-1831.2026.04.018 |
| 中文关键词: 电解铝 工业园区 市场交易机制 容量优化配置 |
| 英文关键词: electrolytic aluminum industrial park market trading mechanism capacity optimization configuration |
| 基金项目:新疆维吾尔自治区重点研发专项项目(2022B01016)；国家自然科学基金(52467014) |
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| 中文摘要: |
| 推动碳-绿证市场交易机制的发展是提升能源系统绿色、低碳转型的重要举措。现有的工业园区资源容量优化配置忽略了碳-绿证市场交易机制以及电解铝负荷的柔性响应的影响,难以保证园区风电、光伏、储能配置方案的经济性与适用性。为此,提出了计及碳-绿证市场交易机制和电解铝柔性负荷的工业园区风光储容量优化配置方法。首先,基于电解铝生产用能需求与调节特性,建立电解铝柔性负荷需求响应模型;其次,研究阶梯式碳-绿证交易机制,支撑含电解铝柔性负荷的工业园区节能减碳;然后,以园区年化投资-运行成本为优化目标,考虑设备投资和场地限制、设备运行等约束,建立工业园区资源容量优化配置-调度模型;最后,案例分析结果表明所提出配置方法可有效降低园区年化成本,兼顾园区新能源高效利用的同时降低碳排放。 |
| 英文摘要: |
| The development of carbon-green certificate market trading mechanisms is a critical measure for advancing the green and low-carbon transformation of energy systems. In existing optimal resource capacity allocation studies for industrial parks, the impacts of such trading mechanisms and the flexible response of electrolytic aluminum loads are neglected, which compromises the economic efficiency and applicability of wind-photovoltaic-energy storage configuration schemes. To address this gap, an optimal Wind-PV-ESS capacity allocation method for industrial parks considering the above two factors is proposed. First, a demand response model for flexible electrolytic aluminum loads is established based on their production energy demand and regulation characteristics. Second, a ladder-type carbon-green certificate trading mechanism is investigated to support energy conservation and carbon reduction in these parks. Then, an integrated capacity allocation and scheduling model is constructed, with the park ' s annualized investment-operation cost as the objective and constraints on equipment investment, site availability, and operation fully considered. Finally, it is demonstrated through case studies that the proposed method effectively reduces annualized costs, achieves efficient new energy utilization, and lowers carbon emissions simultaneously. |
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