Role of renewable energy and storage in low-carbon power systems

Weiru Wang, Xueting Cheng, Jing Li, Huiping Zheng, Mengzan Li
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Abstract

To promote the achievement of low-carbon goals in the power industry, rational and effective power system planning is essential. The participation of demand response in power system planning is an important means to reduce carbon emissions. To this end, a dual-layer low-carbon planning model for power systems considering carbon emission flow and demand response was designed. The upper layer investment planning model minimizes investment and operational costs, using an annual 8760-h operation simulation model and unit clustering linearization of the coal-fired units, coordinating the optimized investment and construction capacity of traditional units, new energy, and storage. The lower layer model forms a demand response model based on carbon emission flow theory and a load-side stepped carbon price mechanism, using the unit output and line flow data calculated by the upper layer model. This model reasonably adjusts the load distribution to reduce both the amount and cost of carbon emissions. Finally, the proposed model was analyzed and verified on the improved IEEERTS-24 node system.
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可再生能源和储能在低碳电力系统中的作用
要推动电力行业实现低碳目标,合理有效的电力系统规划必不可少。需求响应参与电力系统规划是减少碳排放的重要手段。为此,本文设计了一个考虑碳排放流量和需求响应的电力系统双层低碳规划模型。上层投资规划模型利用年 8760 小时运行仿真模型和燃煤机组集群线性化,协调传统机组、新能源和储能的优化投资和建设容量,使投资和运行成本最小化。下层模型利用上层模型计算的机组出力和线流数据,形成基于碳排放流量理论和负荷侧阶梯碳价机制的需求响应模型。该模型合理调整负荷分布,以减少碳排放的数量和成本。最后,在改进的 IEEERTS-24 节点系统上对所提出的模型进行了分析和验证。
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