| 引用本文: | 李 靖,徐天奇,李 琰,等.基于多市场耦合的新能源综合发电项目的盈利能力研究[J].电力系统保护与控制,2024,52(6):65-76. |
| LI Jing,XU Tianqi,LI Yan,et al.Profitability study of multi-market coupled integrated renewable energy generation projects[J].Power System Protection and Control,2024,52(6):65-76 |
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| 摘要: |
| 为解决我国新能源发电产业扩张引发的弃风弃光问题，引入氢储能系统与风能、太阳能光伏发电配合，构建新能源综合发电项目。为解决预算赤字问题，提出碳减排市场(carbon certified emission reduction, CCER)与综合项目结合，构建市场交易模型。为评估项目平准化度电成本(levelized cost of electricity, LCOE)，基于现有风、光发电基础，引入氢储能系统成本和“氢-电”收益、氢能收益、氧气收益、碳排放收益，建立优化的平准化度电成本(optimizing levelized cost of electricity, OLCOE)模型。以我国西北某省风、光电厂为例，设定3种盈利情景，计算项目的OLCOE。选取符合实际效益的模型，以传统燃煤上网电价为新能源上网电价，在不同氢能和碳排放定价下进行敏感性分析，深入研究综合发电项目的盈利能力。研究表明：多市场辅助对新能源综合发电项目的发展不仅增强其盈利潜力，还能补偿高额的建设成本，从而提高项目的可行性。此外，可持续发展政策的有效实施和技术的进步也将进一步推动项目的未来发展。 |
| 关键词: 新能源发电 氢储能系统 弃电消纳 补贴取消 盈利能力 碳市场 |
| DOI：10.19783/j.cnki.pspc.231210 |
| 分类号: |
| 基金项目:国家自然科学基金项目资助(62062068);云南省中青年学术和技术带头人后备人才项目资助(202305AC160077) |
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| Profitability study of multi-market coupled integrated renewable energy generation projects |
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LI Jing1, XU Tianqi1, 2, LI Yan1, 2, LI Xiaolan1, WU Peizhi1
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1. Yunnan Provincial Key Laboratory of Cyber-Physical Power System in Universities (School of Electrical
and Information Engineering,Yunnan Minzu University), 2. Yunnan Key Laboratory of
Unmanned Autonomous System, Kunming 650504, China
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| Abstract: |
| To address the issue of wind and solar curtailment caused by the expansion of China’s new energy generation industry, this paper introduces a hydrogen energy storage system in conjunction with wind and solar photovoltaic power generation to establish an integrated new energy generation project. To tackle the budget deficit problem, it proposes to combine the carbon certified emission reduction market (CCER) with the integrated project to construct a market trading model. To assess the levelized cost of electricity (LCOE) for the project, based on the existing foundation of wind and solar power generation, it introduces the costs of the hydrogen energy storage system and the benefits from “hydrogen-electricity”, hydrogen, oxygen, and carbon emission, establishing an optimized model for optimizing the levelized cost of electricity (OLCOE). Taking a wind and solar power plant in a northwestern province of China as an example, three profit scenarios are set, and the OLCOE is calculated. A model that aligns with actual benefits is selected, using the traditional coal-fired grid electricity price as the new energy grid electricity price. Sensitivity analyses are conducted with different hydrogen and carbon emission pricing to further investigate the profit potential of the integrated power generation project. The research indicates that multi-market assistance not only enhances the profit potential of the integrated new energy generation project but also compensates for high construction costs, thereby improving project feasibility. Additionally, effective implementation of sustainable development policies and technological advances will further drive the development of the project. |
| Key words: renewable energy generation hydrogen energy storage system power curtailment absorption subsidy cancellation profitability carbon market |
