期刊
IET RENEWABLE POWER GENERATION
卷 16, 期 13, 页码 2748-2761出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/rpg2.12485
关键词
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资金
- Scientific Research Program of Shaanxi Provincial Education Department [21JK0843]
- Key Project of Enterprise Innovation and Development Joint Fund by National Natural Science Foundation of China [U20B2029]
- Science and Technology Basic Research Program of Shaanxi [2021JM-404]
- National Natural Science Foundation of China [52174005]
- Postgraduate Innovation and Practice Ability Training Program of Xi'an Shiyou University [YCS22111015]
In this study, a method for sequence optimization of DESSs in unbalanced distribution networks based on voltage sensitivity analysis is proposed, which can improve voltage performance while ensuring the economy of system operation.
Distributed energy storage system (DESS) has flexible operating characteristics, and DESSs can be properly configured to effectively serve the voltage regulation of the active distribution network. The existing voltage regulation-oriented DESSs optimization configuration studies are usually based on the balanced network model to analyze the impact of energy storage operation characteristics on the system voltage, but the distribution network is actually three-phase unbalanced. To this end, a method for the sequence optimization of DESSs in unbalanced distribution networks based on voltage sensitivity analysis is proposed, and the optimal configuration of DESSs in unbalanced distribution networks is studied from the perspective of improving the network voltage performance. Firstly, the DESSs placement is determined based on the proposed comprehensive voltage sensitivity analysis method; secondly, taking into account the economy of system operation, optimize the capacity of DESSs with the goal of minimizing the investment and operation and maintenance cost of DESSs, and the model solved by the improved grey wolf optimization algorithm. Finally, numerical simulations are analyzed by two unbalanced distribution testing networks. The results show that the proposed method can effectively improve the voltage profile of the unbalanced distribution network while ensuring the economy of system operation.
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