| 引用本文: | 陈厚合,茅文玲,张儒峰,于温方.基于碳排放流理论的电力系统源-荷协调低碳优化调度[J].电力系统保护与控制,2021,49(10):1-11.[点击复制] |
| CHEN Houhe,MAO Wenling,ZHANG Rufeng,YU Wenfang.Low-carbon optimal scheduling of a power system source-load considering coordination based on carbon emission flow theory[J].Power System Protection and Control,2021,49(10):1-11[点击复制] |
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| 摘要: |
| 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，然后基于碳排放流理论计算出负荷侧碳排放责任情况及碳排放成本。再次，构建以碳价为信号的需求响应低碳优化调度为二阶段优化模型，利用负荷侧调节能力降低总碳排放量，从而降低负荷侧碳排放成本。最后，基于改进的PJM-5节点系统分别对全火电机组场景和含风电机组场景进行算例分析，通过仿真算例对不同场景下系统的碳排放量以及碳排放成本进行了分析。同时，在IEEE-118节点系统中进行验证，结果表明所提出模型合理计算了碳排放责任，有效降低了系统碳排放量，验证了所提模型的合理性和可行性。 |
| 关键词: 碳排放 低碳调度 需求响应 碳责任分摊 |
| DOI：DOI: 10.19783/j.cnki.pspc.200932 |
| 投稿时间：2020-08-04修订日期：2020-09-17 |
| 基金项目:国家重点研发计划项目资助(2017YFB0903402) |
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| Low-carbon optimal scheduling of a power system source-load considering coordination based on carbon emission flow theory |
| CHEN Houhe1,MAO Wenling1,ZHANG Rufeng1,YU Wenfang2 |
| (1. Department of Electrical Engineering, Northeast Electric Power University, Jilin 132000, China;
2. Songyuan Power Supply Company, State Grid Jilin Electric Power Co., Ltd., Songyuan 138000, China) |
| Abstract: |
| 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). |
| Key words: carbon emissions low carbon scheduling demand response carbon responsibility allocation |
