Low-Carbon Dispatch of Distribution Networks Considering Demand Response and Photovoltaic Integration

In the context of low-carbon electricity, the low-carbon operation of the distribution network significantly impacts the reduction of carbon emissions in the power system. Addressing how to achieve coordinated low-carbon economic operation at the distribution network level is an urgent issue that requires resolution. This paper proposes a low-carbon scheduling model that considers carbon emissions and demand response within the distribution network. First, we introduce an improved dynamic carbon emission factor for the distribution network, which serves as a guiding signal to provide reference for users' low-carbon electricity consumption. Next, we develop two distinct demand response models: one for industrial users aimed at minimizing scheduling costs while reducing carbon emissions, and another for residential users focused on electricity satisfaction and low-carbon satisfaction. Finally, simulations are conducted using an improved IEEE-33 node distribution system. The results indicate that the proposed scheduling model effectively reduces carbon emissions in the distribution network and enhances the integration of photovoltaic resources.

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Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990845
Citations
1
Primary Topic
Smart Grid Energy Management
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article
Field-Weighted Citation Impact
0.21
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Low-Carbon Dispatch of Distribution Networks Considering Demand Response and Photovoltaic Integration

M. H. Ye, Xiaolong Jiang, Xiaonan Zhu, Biao Cong et al.
1 citations
Smart Grid Energy Management
0.21
article

Low-Carbon Dispatch of Distribution Networks Considering Demand Response and Photovoltaic Integration

M. H. Ye, Xiaolong Jiang, Xiaonan Zhu, Biao Cong, Zifa Liu
article en
1 citations

Abstract

In the context of low-carbon electricity, the low-carbon operation of the distribution network significantly impacts the reduction of carbon emissions in the power system. Addressing how to achieve coordinated low-carbon economic operation at the distribution network level is an urgent issue that requires resolution. This paper proposes a low-carbon scheduling model that considers carbon emissions and demand response within the distribution network. First, we introduce an improved dynamic carbon emission factor for the distribution network, which serves as a guiding signal to provide reference for users' low-carbon electricity consumption. Next, we develop two distinct demand response models: one for industrial users aimed at minimizing scheduling costs while reducing carbon emissions, and another for residential users focused on electricity satisfaction and low-carbon satisfaction. Finally, simulations are conducted using an improved IEEE-33 node distribution system. The results indicate that the proposed scheduling model effectively reduces carbon emissions in the distribution network and enhances the integration of photovoltaic resources.

North China Electric Power University (CN), NARI Group (China) (CN)
Openalex Percentile: Top 43%
Smart Grid Energy Management
0.21
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Low-Carbon Dispatch of Distribution Networks Considering Demand Response and Photovoltaic Integration — M. H. Ye, Xiaolong Jiang, et al. · (2024) | TGRS Research Map | TGRS