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
- Xinhao Shen (ORCID: https://orcid.org/0009-0009-2049-104X)
- Zhenzhi Lin
- Xinyi Zhu (ORCID: https://orcid.org/0009-0004-4394-6522)
- Zikang Shen
- Jiani Guo (ORCID: https://orcid.org/0000-0001-9013-0420)
- Longyi Ma
- Dongfang Lu
Institutions
- Zhejiang University (CN)
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
- China Southern Power Grid