计及碳捕集的含新能源电网低碳调度策略 |
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作者姓名: | 舒征宇 贾可凡 李黄强 杨世勇 姚 钦 王 灿 |
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作者单位: | 三峡大学电气与新能源学院,三峡大学电气与新能源学院,国网湖北省电力公司宜昌供电公司 宜昌,国网湖北省电力公司宜昌供电公司 宜昌,国网湖北省电力公司宜昌供电公司 宜昌,三峡大学电气与新能源学院 |
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基金项目: | 国家自然科学基金(52107108),被动孤岛切换场景下单三相混联微网群低频减载控制策略研究,王灿,三峡大学 |
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摘 要: | 摘 要:在碳达峰、碳中和背景下,碳捕集机组可有效降低电力系统碳排放。但是在含新能源的电网中碳捕集机组频繁参与系统调峰会降低系统的经济性。为此,本文首先在分析灵活运行碳捕集机组运行原理和碳交易工作机制的基础上,提出引入抽水蓄能机组辅助碳捕集机组参与系统调峰,以促进风电消纳,使碳捕集机组更专注捕碳工作并降低系统碳排放量。然后针对风电并网后的不确定性,引入模糊理论,将系统功率约束中风电和负荷用模糊参数表示,使约束转变为基于可信性的模糊机会约束,运用清晰等价类将模糊机会约束清晰化。以系统净收益最高为目标函数,综合考虑机组上网收益、抽蓄收益、碳交易收益、运行成本以及系统安全性约束等因素,构建了碳捕集-抽蓄联合运行模型,最后通过CPLEX求解模型。仿真结果验证了引入抽蓄机组后系统净收益提高了7.62%,碳排放降低了7.01%;兼顾了系统的经济性和环保性。
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关 键 词: | 抽水蓄能 碳捕集机组 碳交易收益 模糊机会约束 清晰等价类 低碳经济调度 |
收稿时间: | 2023/4/18 0:00:00 |
修稿时间: | 2023/8/7 0:00:00 |
Low carbon dispatch strategy for new energy grid considering carbon capture plant |
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Authors: | SHU Zhengyu JIA Kefan LI Huangqiang YANG Shiyong YAO Qin and WANG Can |
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Affiliation: | Collage of Electric EngineeringNew Energy,Three Gorges University,Collage of Electric EngineeringNew Energy,Three Gorges University,State Grid Hubei Electric Power Company Yichang Power Supply Company,State Grid Hubei Electric Power Company Yichang Power Supply Company,State Grid Hubei Electric Power Company Yichang Power Supply Company,Collage of Electric EngineeringNew Energy,Three Gorges University |
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Abstract: | Abstract: Within the context of carbon peaking and neutrality, carbon capture plants are employed to offer a viable solution to minimize power systems'' carbon emissions. Yet, the regular integration of these units for peak shaving in grids harnessing re-newable energy tends to hamper system efficiency. Thus, acknowledging the operation and carbon trading mechanism of adapt-able carbon capture plants, firstly, the incorporation of pumped storage plants is suggested to aid peak shaving, thereby facilitating wind power utilization, optimizing carbon capture plants for carbon sequestration, and reducing overall system carbon emissions. Given the uncertainty following grid-integrated wind power, fuzzy theory is employed to model system power constraints as fuzzy parameters, representing wind power and load. The constraint is transformed into a credibility-based fuzzy chance constraint. This fuzzy chance constraint is clarified by the clear equivalence classes. Prioritizing maximum system net income as the objective function, elements such as unit online revenue, extraction income, carbon trading profits, operational costs, and system security constraints are considered. Finally, the carbon capture-pumped storage joint operation model is developed and solved using the CPLEX. Simulation results validate that the integration of pumped storage plant enhances the system''s net income by 7.62% and reduces carbon emissions by 7.01%, reflecting a balanced consideration of both economic and environmental aspects. |
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Keywords: | pumped storage carbon capture units carbon trading proceeds fuzzy chance constraints Clear equivalence classes Low carbon economic dispatch |
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