计及风电不确定信息间隙的火电-储能-需求响应多源低碳调峰交易优化模型

将碳排放权交易融入调峰交易中,核算火电调峰产生的碳变动效应,提出多源低碳调峰成本核算方式,构造确定性多源低碳调峰交易优化模型。针对风电不确定性,利用信息间隙决策理论(information gap decision theory,IGDT)反映风电预测值与实际值的信息差距,构造不确定性多源低碳调峰交易优化模型。最后,选取中国西北某局域电网作为仿真系统验证所提模型的有效性和适用性。结果表明,所提多源低碳调峰交易模型可以促进风电并网,实现各参与方共享合作效益,确立不同风险态度决策者的调峰交易方案。

Multi-Source Low-Carbon Peak-Shaving Transaction Optimization Model for Thermal Power-Energy Storage-Demand Response Considering the Uncertainty Information Gap of Wind Power

This paper proposes to integrate carbon emission trading into peak-shaving trading, to account for the carbon variation effects produced by thermal power peak-shaving, and proposes a multi-source low-carbon peak-shaving cost accounting method. Aiming at the uncertainty of wind power, this paper uses the information gap decision theory (IGDT) to reflect the information gap between the predicted value and the actual value of wind power, and constructs an uncertainty multi-source low-carbon peak-shaving transaction optimization model. Finally, a local power grid in northwest China is selected as the simulation system to verify the correctness and validity of the proposed model. Results show that the proposed multi-source low-carbon peak-shaving transaction model can promote the integration of wind power generation, ensure all participants obtain the cooperation incremental benefits, and establish a peak-shaving transaction plan for decision makers with different risk attitudes.