Low-Carbon and Economic Optimal Scheduling of Power System Source-Grid-Load Based on Carbon Flow Tracing Method

doi:10.12204/j.issn.1000-7229.2023.05.011

Abstract

Abstract:

In the traditional low-carbon dispatch of power systems, it is extremely unfair to the power generation side to treat power plants as the sole bearers responsible for carbon emissions. It is of great significance to track the sources of carbon emissions, distribute carbon emissions fairly to the power generation and user sides, and guide users in using electricity sustainably. To address the problem of negative carbon emissions in existing carbon flow tracking methods due to complex power calculations, this study proposes a carbon flow tracking method based on carbon emission flow, which directly tracks the carbon flow of the system based on carbon flow calculations. Based on the tracking results, a carbon emission responsibility-sharing model jointly borne by the power plants and users was developed. Furthermore, a low-carbon economic dispatching method for the power system source-grid-load based on carbon flow tracking is proposed, which optimizes the unit combination in the first stage with the goal of minimizing the power generation cost and carbon emission cost on the power generation side. The second stage optimizes the load distribution with the minimum demand response and user carbon emission costs. The analysis shows that, compared with existing tracking methods, the carbon flow tracking method proposed in this study can avoid the occurrence of negative carbon emissions. The proposed low-carbon economic dispatch method can consider the economy and environmental protection of the system and guide users to actively respond and reduce the carbon emissions of the system.

Key words: carbon flow tracing, carbon obligation allocation, low-carbon and economic dispatch, power system, source-grid-load

CLC Number:

TM73
TM73

YANG Yi, YI Wenfei, WANG Chenqing, WANG Mingshen, WU Zhijun, MU Yunfei, ZHENG Mingzhong. Low-Carbon and Economic Optimal Scheduling of Power System Source-Grid-Load Based on Carbon Flow Tracing Method[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(5): 108-119.

Figures/Tables 15

Fig.1 Conversion process from lossy network to lossless network

Fig.2 Carbon flow flowing into and out of node i

Fig.3 Framework of low-carbon economic dispatching model of power system source-grid-load based on the carbon flow tracing method

Fig.4 IEEE 39-bus system structure

Table 1 Carbon intensity of generators

Fig.5 Load of nodes at 8 am

Fig.6 Power of generators at 8 am

Table 2 Results of the load carbon emissions tracing using the method proposed in this paper and Ref [5] t

Fig.7 Active power and reactive power of load

Table 3 Optimization results under two cases

Fig.8 Power of generators under scenario Ⅰand Ⅱ

Fig.9 Load distribution considering low-carbon demand response

Fig.10 Comparison of load curves of the 20th node

Table A1 Results of the load carbon emissions tracing at 08:00 t

Table A2 Tracing results of the carbon emissions caused by network loss at 08:00t

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