考虑阶梯式碳交易机制的负荷侧灵活响应优化模型OA北大核心CSTPCD
Flexible Load-side Response Optimization Model Considering Stepped Carbon Trading Mechanism
碳交易机制有助于实现"双碳"目标.针对负荷侧参与碳市场交易,优化光伏、储能、充电桩等灵活性资源的问题,提出一种包含阶梯式碳交易机制的负荷侧需求响应优化方法.以购电成本、碳交易成本和需求响应补偿成本的最小化目标函数,建立阶梯式碳交易模型;以价格型需求响应为引导,对不同碳交易区间长度进行分析;根据夏季、冬季屋顶光伏出力特性和用户用电习惯的差异分别建模,并利用LINGO软件进行求解.算例结果表明,所提模型能够提升系统经济效益和低碳效益.
Carbon trading mechanisms contribute to the realization of the"Double-carbon"goal. In this paper,a load-side demand response optimization method including a stepped carbon trading mechanism is proposed to optimize flexi-ble resources such as photovoltaic(PV),energy storage and charging piles for load-side participation in carbon market trading. First,with an objective function that minimizes the sum of power purchase cost,carbon trading cost and de-mand response compensation cost,a stepped carbon trading model is established. Then,the price-based demand re-sponse is used as a guide to analyze the lengths of different carbon trading intervals. Different models are established ac-cording to the differences in rooftop PV output characteristics and users' electricity consumption habits in summer and winter,which are further solved using the LINGO software. The results of an example show that the proposed model can improve the economic and low-carbon benefits of the system.
任宇路;程昱舒;王书姝;张雪瑞
国网山西省电力公司营销服务中心,太原 030032
动力与电气工程
阶梯式碳交易需求响应屋顶光伏低碳
stepped carbon tradingdemand responserooftop photovoltaic(PV)low carbon
《电力系统及其自动化学报》 2024 (008)
23-29 / 7
国网山西省电力公司科技项目:基于"双碳"目标实现过程中的"电-碳"计量关键技术研究(520531220003)
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