Optimal Configuration of Regenerative Electric Heating for Improving Distribution Network Carrying Capacity

The large-scale integration of regenerative electric heating poses higher requirements for the carrying capacity of the distribution network. How to improve the carrying capacity of the distribution network through rational planning of regenerative electric heating capacity has become a key issue for the future development of the power grid. Therefore, a regenerative electric heating optimal configuration method for improving the carrying capacity of distribution network is proposed. Firstly, the regenerative electric heating model is established and the thermal comfort elasticity is analyzed in relation to the regenerative electric heating capacity. Secondly, a multi-objective optimal configuration model for regenerative electric heating is established with the objectives of maximum carrying capacity of the distribution network and minimum annualized cost of the system, combined with constraints such as thermal comfort elasticity constraints and equipment operation constraints. Finally, an arithmetic simulation based on a heating project in a region in northern China verifies that the proposed scheme can improve the regenerative electric heating carrying capacity of the distribution network under the premise of ensuring the economic benefits of the distribution network and the comfort of users.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991436
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Configuration of Regenerative Electric Heating for Improving Distribution Network Carrying Capacity

Ning Su, Zhulu Zhang, Jiayu Xu, Fangmin Wang et al.
Energy Load and Power Forecasting
article

Optimal Configuration of Regenerative Electric Heating for Improving Distribution Network Carrying Capacity

Ning Su, Zhulu Zhang, Jiayu Xu, Fangmin Wang, Bing Li, C. Xiang
article en

Abstract

The large-scale integration of regenerative electric heating poses higher requirements for the carrying capacity of the distribution network. How to improve the carrying capacity of the distribution network through rational planning of regenerative electric heating capacity has become a key issue for the future development of the power grid. Therefore, a regenerative electric heating optimal configuration method for improving the carrying capacity of distribution network is proposed. Firstly, the regenerative electric heating model is established and the thermal comfort elasticity is analyzed in relation to the regenerative electric heating capacity. Secondly, a multi-objective optimal configuration model for regenerative electric heating is established with the objectives of maximum carrying capacity of the distribution network and minimum annualized cost of the system, combined with constraints such as thermal comfort elasticity constraints and equipment operation constraints. Finally, an arithmetic simulation based on a heating project in a region in northern China verifies that the proposed scheme can improve the regenerative electric heating carrying capacity of the distribution network under the premise of ensuring the economic benefits of the distribution network and the comfort of users.

State Grid Corporation of China (China) (CN), Sichuan University (CN), China Aluminum International Engineering Corporation Limited (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 72%
Energy Load and Power Forecasting
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Optimal Configuration of Regenerative Electric Heating for Improving Distribution Network Carrying Capacity — Ning Su, Zhulu Zhang, et al. · (2024) | TGRS Research Map | TGRS