基于碳排放流理论的电力系统源-荷协调低碳优化调度

在低碳电力的背景下,需求侧资源逐渐参与电力系统调度,为降低电力系统碳排放提供了新思路.建立了一种考虑碳排放流理论和以碳价为价格信号的需求响应电力系统两阶段低碳优化调度模型.首先,以电力系统经济调度为一阶段优化模型.其次,基于Shapley值碳责任分摊方法,计算出各负荷侧碳责任合理范围并由此提出阶梯碳价定制方法,然后基于...

Low-carbon optimal scheduling of a power system source-load considering coordination based on carbon emission flow theory

In a low-carbon power system, the demand side gradually participates in power system scheduling, providing new approaches for reducing carbon emissions. This paper proposes a two-stage low-carbon optimal scheduling model for power systems considering carbon emission flow theory and demand response based on carbon prices. First, power system economic dispatch is proposed as the first-stage model. Secondly, based on the Shapley value carbon responsibility sharing method, a calculation method for the reasonable range of carbon responsibility of each load bus is proposed. A method of formulating the step-wise carbon prices is proposed, and then the distribution of demand side carbon emissions and the carbon emission cost based on carbon emission flow theory are calculated. The demand response low-carbon scheduling is proposed as the second-stage model, using the demand side adjustment capability to reduce the carbon emissions. Finally, based on the modified PJM-5 bus system, a case study is performed on the scenario of all thermal power plants and the scenario with a wind power plant, and the carbon emissions and their costs in the system in different scenarios through simulation examples are analyzed. At the same time, it is tested in the IEEE-118 bus system, and the results verify that the model proposed reasonably calculates the carbon emission responsibility, effectively reduces the carbon emission of the system, and verifies the rationality and feasibility of the proposed model.This work is supported by the National Key Research and Development Program of China (No. 2017YFB0903402).