Distributed Optimization for Multi‐Voltage Level Regional Interconnected Distribution Networks With Energy Storage Integrated Soft Open Point
ABSTRACT Modern distribution networks (DNs) widely permeate various kinds of distributed generators (DGs) and loads. Their output characteristics and complex spatiotemporal distribution characteristics have brought serious challenges to the safe and economic operation of DNs, especially for multi‐voltage‐level DNs. To enhance the flexibility and controllability of DN, the soft open point integrated with the energy storage system (E‐SOP) has garnered significant attention, as it can facilitate the flexible regulation of energy distribution networks across blocks. However, such an arrangement also increases the difficulty of cooperative control for DNs with multi‐voltage levels. To address this challenge, this paper constructs a form of flexible interconnected multi‐voltage level DNs based on E‐SOP and proposes a distributed control architecture suitable for multi‐voltage level regional interconnection DN with E‐SOP. Then, a target loosen‐coupled self‐adaptive method (TLCSAM) is developed to solve the regulation model. Finally, relevant cases are constructed in this paper to validate the effectiveness of the proposed dispatching strategy; the results demonstrate that the proposed distributed regulation strategy can significantly improve the performance of the multi‐voltage level regional interconnected distribution network with E‐SOP.
Authors
- Huilin Liu (ORCID: https://orcid.org/0009-0009-2414-8943)
- Zhao Li (ORCID: https://orcid.org/0000-0002-9685-8049)
- Xueshun Ye
- Keyan Liu (ORCID: https://orcid.org/0000-0003-4709-4270)
- Sijia Hu (ORCID: https://orcid.org/0000-0002-1012-2322)
- Yong Li (ORCID: https://orcid.org/0000-0002-1183-5359)
- Dongli Jia (ORCID: https://orcid.org/0000-0002-7309-631X)
Institutions
- North China Electric Power University (CN)
- Hunan University (CN)
- Changsha University (CN)
- China Electric Power Research Institute
Publication Details
- Journal
- IET Generation Transmission & Distribution
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/gtd2.70182
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- State Grid Corporation of China