Flexible resource planning method for extremely high proportional renewable energy systems considering multi temporal coupling

In the context of the global climate crisis, China has put forward the goal of "carbon peak 2030 and carbon neutrality 2060". In view of the challenge of flexibility brought by the very high proportion of renewable energy grid connection to the power system, this paper analyzes the influence of wind power and photovoltaic on the system stability, introduces the short-time energy storage and P2G technology, and proposes a flexible resource planning method based on multi-time series coupling. The optimization of the power system is carried out through the allocation of energy storage, and the validity of the model is verified through the analysis of a power grid in Northeast China. It is found that the rational allocation of energy storage can improve the economy and stability of the system.

Authors

Institutions

Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/icei63732.2024.10917128
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flexible resource planning method for extremely high proportional renewable energy systems considering multi temporal coupling

Minglei Jiang, Kerui Ma, Jianwei Zhu, Shengyao Shi et al.
Power Systems and Renewable Energy
article

Flexible resource planning method for extremely high proportional renewable energy systems considering multi temporal coupling

Minglei Jiang, Kerui Ma, Jianwei Zhu, Shengyao Shi, Xin Li, Renqiang Han
article en

Abstract

In the context of the global climate crisis, China has put forward the goal of "carbon peak 2030 and carbon neutrality 2060". In view of the challenge of flexibility brought by the very high proportion of renewable energy grid connection to the power system, this paper analyzes the influence of wind power and photovoltaic on the system stability, introduces the short-time energy storage and P2G technology, and proposes a flexible resource planning method based on multi-time series coupling. The optimization of the power system is carried out through the allocation of energy storage, and the validity of the model is verified through the analysis of a power grid in Northeast China. It is found that the rational allocation of energy storage can improve the economy and stability of the system.

Northeast Electric Power University (CN), Jilin Electric Power Research Institute (China) (CN)
Decent work and economic growth
Openalex Percentile: Top 67%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.