Optimization Scheduling Method for County-level Distribution Network Considering Multi-function Reuse of Mobile Energy Storage System

In the context of the carbon neutrality goal and the rising penetration of renewable energies, the electrical power system’s dependency on renewable energy sources, including photovoltaic (PV) and wind generation, has markedly increased. However, the generation of renewable energy is heavily dependent on climatic conditions, and its volatility can bring pressure to the power balance of the distribution network. The application of mobile energy storage system (MESS) will become a strong support for the extensive expansion of renewable energy sources. Hence, an optimal scheduling method for county-level distribution networks (CDNs) considering the multi-function reuse of MESS is proposed. Firstly, the application scenarios and necessity of multi-function reuse of MESS under the context of a significant share of renewable energy sources are analyzed. Then, an optimal scheduling method considering MESS is constructed, aiming at reducing the overall operating expenses of the CDN, as well as the constraints such as the spatiotemporal dynamic scheduling of MESS. Finally, a revised 33-bus distribution network is applied for case studies. The simulation results demonstrate that the proposed model is applicable to different scenarios of the CDN under various application functions of MESS, effectively reducing the operational costs of the CDN and ensuring the power supply for load demand.

Authors

Institutions

Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/ichqp61174.2024.10768769
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization Scheduling Method for County-level Distribution Network Considering Multi-function Reuse of Mobile Energy Storage System

Xinhao Shen, Zhenzhi Lin, Xinyi Zhu, Zikang Shen et al.
Power Systems and Renewable Energy
article

Optimization Scheduling Method for County-level Distribution Network Considering Multi-function Reuse of Mobile Energy Storage System

Xinhao Shen, Zhenzhi Lin, Xinyi Zhu, Zikang Shen, Jiani Guo, Longyi Ma, Dongfang Lu
article en

Abstract

In the context of the carbon neutrality goal and the rising penetration of renewable energies, the electrical power system’s dependency on renewable energy sources, including photovoltaic (PV) and wind generation, has markedly increased. However, the generation of renewable energy is heavily dependent on climatic conditions, and its volatility can bring pressure to the power balance of the distribution network. The application of mobile energy storage system (MESS) will become a strong support for the extensive expansion of renewable energy sources. Hence, an optimal scheduling method for county-level distribution networks (CDNs) considering the multi-function reuse of MESS is proposed. Firstly, the application scenarios and necessity of multi-function reuse of MESS under the context of a significant share of renewable energy sources are analyzed. Then, an optimal scheduling method considering MESS is constructed, aiming at reducing the overall operating expenses of the CDN, as well as the constraints such as the spatiotemporal dynamic scheduling of MESS. Finally, a revised 33-bus distribution network is applied for case studies. The simulation results demonstrate that the proposed model is applicable to different scenarios of the CDN under various application functions of MESS, effectively reducing the operational costs of the CDN and ensuring the power supply for load demand.

Zhejiang University (CN)
China Southern Power Grid
Affordable and clean energy
Openalex Percentile: Top 78%
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.