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文章摘要
含高比例新能源电力系统的低碳电源规划方法
Low-carbon power planning method for power system with high proportion of renewable energy
Received:March 28, 2023  Revised:April 14, 2023
DOI:j.issn1001-1390.2025.07.004
中文关键词: 高比例新能源电力系统  碳捕集  抽样平均近似法  机会约束  低碳电源规划
英文关键词: high proportion of renewable energy power system, carbon capture, sampling average approximation method, chance constrained, low-carbon power planning
基金项目:国家自然科学基金资助项目( U1966206)
Author NameAffiliationE-mail
LI Lingyu* Shanghai University of Electric Power,Shanghai 200093, China 2770802803@qq.com 
CHENG Haozhong Key Laboratory of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China 1@qq.com 
ZHANG Heng Key Laboratory of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China 1@qq.com 
YUAN Zijun Key Laboratory of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China 1@qq.com 
WANG Zheng East China Branch, State Grid Corporation of China, Shanghai 200002,China 1@qq.com 
LU Jianzhong East China Branch, State Grid Corporation of China, Shanghai 200002,China 1@qq.com 
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中文摘要:
      为解决新型电力系统低碳化发展需求与煤电作为支撑性电源存在的必要性难以协调的问题,提出考虑多种降碳减排措施的高比例新能源电力系统低碳电源规划方法。文中基于储液式碳捕集技术特点,建立含碳捕集技术的电厂出力及固碳模型,综合考虑碳捕集、风电、碳交易等低碳化措施,以系统总成本最小为目标,考虑了碳捕集电厂运行特性、碳排放量等约束,建立融合电力及碳排放模拟的电源规划模型,针对模型中存在的风电不确定因素,采用抽样平均近似方法将机会约束进行处理,转化为混合整数线性规划结构,以修改后的IEEE-24节点系统为例验证了此方法的可行性,并量化评估了碳捕集系统、碳交易价格及不同碳排放水平对电源规划的影响。
英文摘要:
      In order to solve the problem that it is difficult to coordinate the low-carbon development demand of the novel power system with the necessity of coal power as a supporting power source, a low-carbon power planning method of high-proportion renewable energy power system considering a variety of carbon reduction and emission reduction measures is proposed. Based on the characteristics of liquid storage carbon capture technology, the output of power plant and carbon sequestration model with carbon capture technology were established, a comprehensive power planning model with the objective of minimizing the total costs considering the constraints of carbon capture power plant operation characteristics and carbon emmissions is proposed. Moreover, aiming at the uncertainties of wind power in the model, the sample average approximation method is employed to transform the proposed model into a mixed-integer linear programming formulation. The modified IEEE-24 bus system is used as an example to verify the effectiveness of the proposed method, and the effects of carbon capture system, carbon trading price and different carbon emission levels on power planning are quantitatively evaluated.
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