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减碳中多阶段的煤电机组退役与新能源、储能规划协同
原一方, 尚策
上海交通大学 电气工程系,上海 200240
摘要:
规划现役煤电机组的有序退役是电力系统低碳化转型中的关键问题:煤电机组退役会造成发电量缺额和系统灵活性不足的问题,尤其是在新能源占比逐渐增大的条件下,而储能是平衡电力供需、提升供电灵活性的有效技术途径。故应将电力系统规划与未来较长时间内煤电机组逐步退役一同考虑。为此,采用多阶段模型,在电力系统减碳背景下将煤电机组退役协同于新能源和储能规划。基于IEEE 39节点系统验证所提模型的有效性,从机组退役和电力系统减碳2个角度分析规划结果,结果表明通过合理规划新能源和储能能够辅助煤电机组退役的进程,从而实现电力系统低碳化转型。
关键词:  煤电机组退役  多阶段规划  新能源  储能  灵活性约束
DOI:10.16081/j.epae.202109041
分类号:TM715;TK01
基金项目:国家自然科学基金资助项目(51807115);上海市青年科技英才扬帆计划资助项目(18YF1411400);中国电机工程学会青年人才托举工程项目(CSEE-YESS-2018016)
Coordination of multi-stage renewable energy, energy storage planning and coal-fired unit retirement under carbon reduction goal
YUAN Yifang, SHANG Ce
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:
The key issue in the low-carbon transformation of power system is to plan for the orderly retirement of existing coal-fired units. The retirement of coal-fired units will result in a shortage of power generation and insufficient system flexibility, especially under the condition of the proportion of renewable energy increasing step by step. While energy storage is an effective technological way to balance the power supply and demand, and improve flexibility of power supply. Thus, the power system planning should be considered together with the retirement of coal-fired units for a long time. For that, a multi-stage planning model is adopted to coordinate the planning of renewable energy and energy storage with the coal-fired unit retirement under the background of carbon reduction for power system. The effective of the proposed model is verified based on IEEE 39-bus system, the planning results are analyzed from the perspective of unit retirement and carbon reduction for power system. Results show that the reasonable planning for renewable energy and energy storage can achieve faster coal-fired unit retirement, so as to realize the low-carbon transformation of power system.
Key words:  coal-fired unit retirement  multi-stage planning  renewable energy  energy storage  flexibility cons-traint

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