Research on the Evolution Process of New Distribution Network Forms Considering Low Carbon and Sustainable Development

Authors

  • Zhengyuan Chen Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China
  • Sheng Zheng Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China
  • Shuping Tan Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China
  • Qingzhou Zhang Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China
  • Wei Jin Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China
  • Jie Ji Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3931

Keywords:

Dual carbon goals, new distribution network, morphological evolution process, evaluation model, renewable energy, structure form

Abstract

To obtain the planning and development status of new distribution networks under the low-carbon and sustainable development goals, research the evolution process of new distribution network forms under the “carbon peak” and “carbon neutrality” goals (dual carbon goals). Firstly, combining the characteristics of high proportion renewable energy, construct a new distribution network morphology evolution system under the “dual carbon target”. Explore the energy pattern and structural form of the current and medium/long-term new distribution network, and obtain the corresponding evolution process. Then, considering the transmission characteristics of the new distribution network under the “dual carbon target”, an evaluation index system is established in three aspects: power supply, distribution, and transmission. And construct an evaluation model for the development form of distribution networks based on SWOT analysis, to evaluate the new development form of distribution networks. Finally, numerical examples were verified and analyzed using MATLAB simulation software. The method proposed in this article not only intuitively describes the evolution process of the new distribution network morphology, but also obtains the evolution of the new distribution network at different time stages under the “dual carbon target”, as well as the evolution results of the distribution network morphology in terms of carbon emissions and cost investment. The final research results of this article can provide theoretical basis for distribution network planning under the “dual carbon goal”.

Downloads

Download data is not yet available.

Author Biographies

Zhengyuan Chen, Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

Zhengyuan Chen was born in September 1978, is a senior engineer. He graduated with a bachelor’s degree from Tongji University in March 2013, mainly focusing on power grid planning.

Sheng Zheng, Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

Sheng Zheng was born in December 1979, is a senior engineer. He graduated with a bachelor’s degree from Zhejiang University in July 2002 and a graduate student from Zhejiang University in March 2005. His main research direction is power grid planning.

Shuping Tan, Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

Shuping Tan was born in April 1981, is a senior engineer. He graduated with a bachelor’s degree from North China University of Water Resources and Hydropower in July 2004 and a master’s degree from North China Electric Power University in April 2007. His main research direction is power grid planning.

Qingzhou Zhang, Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

Qingzhou Zhang was born in August 1985, is a senior engineer. He graduated with a bachelor’s degree from Shandong University of Technology in July 2009 and a master’s degree from Shandong University of Technology in June 2011. His main research direction is development strategy.

Wei Jin, Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

Wei Jin was born in October 1984, is an engineer. He graduated with a bachelor’s degree from Zhejiang University of Technology in July 2007, mainly focusing on power grid planning.

Jie Ji, Wenzhou Electric Power Design Co., Ltd, Wenzhou 325000, China

Jie Ji was born in October 1993, engineer. Graduated from Fuzhou University with a bachelor’s degree in July 2016, her main research direction is power grid planning.

References

Yaohua W, Peng X, Jun L, ‘Research on Green and Low-Carbon Development Path of the Electric Power Industry’, Chinese Journal of Urban and Environmental Studies, pp. 1–15, Singapore, Jun., 2023.

Gangjun G, Ren Q, Jiaxuan Y, et al., ‘A New Power System Source-End Low Carbonization Evaluation System Considering Carbon Control Model’, Energies, pp. 1–25, Switzerland, Jan., 2023.

Bo W, ‘Low-carbon transformation planning of China’s power energy system under the goal of carbon neutrality’, Environmental science and pollution research international, pp. 44367–44377, Germany, Jan., 2023.

IPalmintier, S. B, Webster, et al., ‘Impact of Operational Flexibility on Electricity Generation Planning With Renewable and Carbon Targets’, IEEE transactions on sustainable energy, pp. 672–684, United States, Jan., 2016.

Panhao Q, Jingwen Y, Qinran H, et al., ‘Deep reinforcement learning based power system optimal carbon emission flow’, Frontiers in Energy Research, pp. 1–16, Switzerland, Sep., 2022.

YuanJ L, Hao Z, ‘Regional Allocation for Carbon Emissions in Power System Based on Carbon Emission Efficiency and Energy Structure’, Advanced Materials Research., Switzerland, 2014.

Wei W, Tao Y, Yupeng H, et al., ‘The situation and suggestions of the new energy power system under the background of carbon reduction in China’, Energy Reports, pp. 1477–1484, United Kingdom, Nov., 2021.

Yixin H, Lei Z, Weiqiang Q, et al., ‘Evaluation of Acceptance Capacity of Distributed Generation in Distribution Network Considering Carbon Emission’, Energies, pp. 1–15, Switzerland, Jun., 2022.

Liang R, Yaling M, Tiejiang Y, et al., ‘Low-Carbon Transition Pathway Planning of Regional Power Systems with Electricity-Hydrogen Synergy’, Energies, pp. 1–17, Switzerland, Nov., 2022.

Guerra. K, et al., ‘Data for the modelling of the future power system with a high share of variable renewable energy’, Data in brief, pp. 1–18, United States, Apr., 2022.

Fei Y, Xiaodong C, Donglei S, et al., ‘Low-carbon economic dispatch strategy for renewable integrated power system incorporating carbon capture and storage technology’, Energy Reports, pp. 251–258, United Kingdom, Aug., 2022.

Juan L, Minwei L, Zhimin W, et al., ‘Multi-Flexibility Resources Planning for Power System Considering Carbon Trading’, Sustainability, pp. 1–18, Switzerland, Oct., 2022.

Junxiao Z, Chong G, Tianlin W, et al., ‘A Dynamic Evaluation Method for High-Permeability New Energy Distribution Network Planning Considering Multistage Development Trends’, Frontiers in Energy Research, pp. 1–10, Switzerland, Aug., 2022.

Weiming X, Linda Q, ‘Economic Evaluation Method of Incremental Distribution Network Project Based on Value Theory’, Security and Communication Networks, pp. 1–11, England, Jan., 2022.

Zhou B, Deng SP, Hu JZ, et al. ‘Research on Differentiated Classification System of Distribution Network Based on Grading and Zoning’, IEEE ACCESS, pp. 144067–144079, United States, NOV., 2021.

Sha YH, Li WL, Yan J et al. ‘Research on Investment Scale Calculation and Accurate Management of Power Grid Projects Based on Three-Level Strategy’, IEEE ACCESS, pp. 67176–67185, United States, FEB., 2021.

Sheng Y, Minqiang H, ‘A Multi-Stage Planning Method for Distribution Networks Based on ARIMA with Error Gradient Sampling for Source–Load Prediction’, Sensors, pp. 1–28, Switzerland, Nov., 2022.

Wei W, Yanbo W, Dawei W, et al., ‘A review of key issues in planning AC/DC distribution systems for renewable energy’, Journal of Physics: Conference Series., England, 2023.

He L, Zixia S, Jiaqi H, et al., ‘Economic analysis of distribution network planning considering decentralized energy storage system’, IOP Conference Series: Earth and Environmental Science., England, 2021.

Aanchit N, Avirup M, Debapriya D, ‘An integrated optimal operating strategy for a grid-connected AC microgrid under load and renewable generation uncertainty considering demand response’, Sustainable Energy Technologies and Assessments, pp. 1–20, United Kingdom, May., 2021.

Defu C, Zuowei W, Shihong M, et al., ‘Wind-Photovoltaic-Energy Storage System Collaborative Planning Strategy Considering the Morphological Evolution of the Transmission and Distribution Network’, Energies, pp. 1–17, Switzerland, Feb., 2022.

Mohamed. E, Deyaa. A, Salah. K, et al., ‘Optimal energy planning of multi-microgrids at stochastic nature of load demand and renewable energy resources using a modified Capuchin Search Algorithm’, Neural Computing and Applications, pp. 17645–17670, United States, Feb., 2022.

WeiY S, Jian L, YiL N, et al., ‘Comprehensive Assessment System and Method of Smart Distribution Grid’, Advanced Materials Research., Switzerland, 2013.

Jianfu N, Feng L, Kun Z, et al., ‘Future Grid Configuration of AC/DC Distribution Network Considering the Influence of Photovoltaic Permeability’, Journal of Physics: Conference Series., England, 2023.

Jinxing X, Ying Y, Fa W, et al., ‘Comprehensive Evaluation Index System of Distribution Network for Distributed Photovoltaic Access’, Frontiers in Energy Research, pp. 1–11, Switzerland, Aug., 2022.

Ma L, Zhu T, Gao H, et al., ‘Evaluation and sensitivity analysis for economical operation of active distribution network’, IEEJ Transactions on Electrical and Electronic Engineering, pp. 715–724, Japan, May., 2018.

ZiWei L, QiongYao X, Lu D, et al., ‘Research on comprehensive evaluation method of distribution network based on AHP-entropy weighting method’, Frontiers in Energy Research, pp. 1–9, Switzerland, Aug., 2022.

Published

2024-07-16

How to Cite

Chen, Z., Zheng, S., Tan, S., Zhang, Q., Jin, W., & Ji, J. (2024). Research on the Evolution Process of New Distribution Network Forms Considering Low Carbon and Sustainable Development. Distributed Generation &Amp; Alternative Energy Journal, 39(03), 403–424. https://doi.org/10.13052/dgaej2156-3306.3931

Issue

Section

Renewable Power & Energy Systems