考虑电–碳–绿证市场协同的电能受端区域调度优化

The Electricity Receiver Region Scheduling Optimization Considering Electricity-Carbon-Green Certificate Market Synergy

摘要: 针对广域级城市群电能受端区域的调度优化问题，建立了考虑电–碳–绿证市场协同的优化模型。通过双层非线性的两级电力市场模型优化区域的电源配置，该模型的上、下层问题分别为区域内电力市场和区域间电力交易的出清。利用常规电源与抽水蓄能、电动汽车集群充电联合，在辅助服务市场提供备用容量，应对新能源出力的不确定性，进一步优化电源主体出力。同时在考虑碳排权与绿证交互联动及区域内碳排权供不应求的前提下，利用碳排权的约束，从区域内新能源与电动汽车集群处获得碳排权补充，从而降低区域调度的碳排放成本。最后通过设置算例，得到不同情景下的仿真数据，对比验证本文模型的有效性。

Abstract: Aiming at the scheduling optimization problem of Wide-area urban agglomeration electric energy receiving end area, an optimization model considering electricity-carbon-green certificate market coordination is established. The power supply allocation of a region is optimized by a two-layer nonlinear two-level electricity market model. The upper and lower problems of this model are the clearing of intra-region electricity market and inter-region electricity transaction, respectively. The conventional power supply is combined with pumped storage and electric vehicle cluster charging to provide backup capacity in the auxiliary service market, cope with the uncertainty of new energy output, and further optimize the main power supply output. At the same time, under the premise of considering the interaction between carbon emission rights and green certificates and the short supply of carbon emission rights within the region, the carbon emission rights are supplemented from new energy within the region and electric vehicle clusters by using the constraints of carbon emission rights, so as to reduce the carbon emission cost of regional dispatch. Finally, by setting examples, the simulation data under different scenarios are obtained, and the effectiveness of the proposed model is verified by comparison.