Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network

Jingxuan Zhang; Xinyue Chang; Hongbin Sun; Yixun Xue; Zhongkai Yi; Zening Li

doi:10.17775/CSEEJPES.2023.05630

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Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network

Regular Papers | 更新时间：2026-06-12

- Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network
- Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network
- 中国电机工程学会电力与能源系统学报(英文) 2026年12卷第3期页码：1252-1263
- 作者机构：
  
  1. College of Electrical Engineering, Taiyuan University of Technology,Taiyuan,China
  2. Key Laboratory of Cleaner Intelligent Control on Coal & Electricity, Ministry of Education, Taiyuan University of Technology,Taiyuan,China
  3. College of Electrical Engineering and Automation, Harbin Institute of Technology,Harbin,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2023.05630
  中图分类号：
- 纸质出版：2026
- 稿件说明：
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Jingxuan Zhang, Xinyue Chang, Hongbin Sun, 等. Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(3):1252-1263.

Jingxuan Zhang, Xinyue Chang, Hongbin Sun, et al. Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1252-1263.
Jingxuan Zhang, Xinyue Chang, Hongbin Sun, 等. Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(3):1252-1263. DOI： 10.17775/CSEEJPES.2023.05630.

Jingxuan Zhang, Xinyue Chang, Hongbin Sun, et al. Stochastic Planning Considering Uncertainties of Renewable Energy Seasonal Correlation and Sub-DR for Smart Distribution Network[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1252-1263. DOI： 10.17775/CSEEJPES.2023.05630.

摘要

Abstract

At present

a high proportion of renewable energy is integrated into smart distribution networks. The power outputs of renewable energy

such as wind and photovoltaic energy

are featured by randomness and uncertainties. In addition

different types of loads have different demand response characteristics with significant uncertainty. These parameters pose great challenges to the safety and reliability of the smart distribution network in the planning stage. Therefore

a renewable energy seasonal correlation model is proposed to exploit the complementary seasonal characteristics between wind and photovoltaic power outputs

thereby reducing the uncertainty of renewable energy. Moreover

a sub-DR model considering the uncertainties of user willingness for different types of loads is modelled

and an industrial load demand response pricing mechanism considering the interaction between supply and demand is developed. Finally

a stochastic planning model

which incorporates system operation considerations

is established to achieve synergistic coordination among generation

load

and storage in the smart distribution network. The numerical examples show that the proposed method can effectively alleviate the randomness and uncertainties of renewable energy power output in the IEEE 33-bus system and IEEE 123-bus system and ensure the stable operation of the system.

关键词

Keywords

references

4. United States Department of Energy. ( 2003, Jul. ). “GRID 2030 ” a national vision for electricity's second 100 years . [Online ] . Available: https://www.energy.gov/oe/articles/grid-2030-national-vision-electricitys-second-100-years.

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