<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the continuous development of China’s economy, the process of urbanisation and industrialisation has been accelerating, and coupled with the emergence of new energy, China’s urban energy consumption has undergone huge transformation. The urban energy Internet (UEI) is an important part of the country’s ‘carbon peak and carbon neutrality’, and it is also one of the key tasks in the planning, construction and operation of the power grid transformation. The traditional grid-side planning model relies on a single deterministic planning method, and there is less consideration for new influencing factors, which has been difficult to meet the energy demand in the context of the energy Internet. In this paper, research on UEI planning based on the fuzzy synthesis method is proposed. First, the basic architectural model of UEI is constructed. At the same time, the impact of distributed generation, energy storage, demand response, communication and other key technologies on the planning of active distribution networks in the distribution network planning under the UEI is analysed. Then, a fuzzy comprehensive method is proposed to calculate the weight of UEI planning. Finally, the planning and research of UEI prospects from the aspects of equipment form, system planning, operation control, business model and collaborative development are discussed.</p>
</abstract>

With the continuous development of China’s economy, the process of urbanisation and industrialisation has been accelerating, and coupled with the emergence of new energy, China’s urban energy consumption has undergone huge transformation. The urban energy Internet (UEI) is an important part of the country’s ‘carbon peak and carbon neutrality’, and it is also one of the key tasks in the planning, construction and operation of the power grid transformation. The traditional grid-side planning model relies on a single deterministic planning method, and there is less consideration for new influencing factors, which has been difficult to meet the energy demand in the context of the energy Internet. In this paper, research on UEI planning based on the fuzzy synthesis method is proposed. First, the basic architectural model of UEI is constructed. At the same time, the impact of distributed generation, energy storage, demand response, communication and other key technologies on the planning of active distribution networks in the distribution network planning under the UEI is analysed. Then, a fuzzy comprehensive method is proposed to calculate the weight of UEI planning. Finally, the planning and research of UEI prospects from the aspects of equipment form, system planning, operation control, business model and collaborative development are discussed.

Research on urban energy Internet planning based on fuzzy comprehensive method

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on urban energy Internet planning based on fuzzy comprehensive method"}

With the continuous development of China’s economy, the process of urbanisation and industrialisation has been accelerating, and coupled with the emergence of...

Research on urban energy Internet planning based on fuzzy comprehensive method

Publié en ligne: 10 avr. 2023

Pages: 1277 - 1288

Reçu: 30 juin 2022

Accepté: 16 août 2022

DOI: https://doi.org/10.2478/amns.2021.2.00282

Mots clés
Urban energy Internet, fuzzy synthesis, planning strategies, energy transition, smart energy systems

© 2023 Rong Liang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on urban energy Internet planning based on fuzzy comprehensive method

Publié en ligne: 10 avr. 2023

Pages: 1277 - 1288

Reçu: 30 juin 2022

Accepté: 16 août 2022

DOI: https://doi.org/10.2478/amns.2021.2.00282

Mots clésUrban energy Internet, fuzzy synthesis, planning strategies, energy transition, smart energy systems

© 2023 Rong Liang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Urban energy Internet, fuzzy synthesis, planning strategies, energy transition, smart energy systems