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Coordinated Planning of Electricity Lines and Energy Storage Systems Based on Time Series Aggregation

  • Yonglong Fan
  • , Xiong Wu
  • , Yating Wang
  • , Lanxi Tang
  • , Minjian Cao
  • , Qiang Liu
  • Xi'an Jiaotong University
  • Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The coordinated planning of long-term and short- term energy storage systems is significant to enhance the regulation capability of power systems. However, it's difficult to balance the time scale and time resolution in the solving process. To solve this problem, this paper proposes a coordinated planning method of electricity lines and energy storage systems based on time series aggregation. Specifically, the electricity line and long- term and short-term energy storage systems are all taken into consideration. Firstly, the yearly long-term operation model is simplified and approximated based on time series aggregation. The optimal number of clusters every month is identified based on the elbow method and the silhouette method. It composes a reconstructed time series. Then, A coordinated planning model for electricity lines and energy storage systems is established. Finally, the planning method is carried out by taking a typical provincial power system in the east of China as an example. The results show that the collaborative planning of long-term, short-term energy storage systems and electricity lines can be solved effectively and strike a balance between the time scale and time resolution. It also improves the new energy utilization and economy.

Original languageEnglish
Title of host publication2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4538-4543
Number of pages6
ISBN (Electronic)9798331523527
DOIs
StatePublished - 2024
Event8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024 - Shenyang, China
Duration: 29 Nov 20242 Dec 2024

Publication series

Name2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024

Conference

Conference8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024
Country/TerritoryChina
CityShenyang
Period29/11/242/12/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Time series aggregation
  • long-term energy storage
  • network-storage cooperative planning

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