开发基于图谱搜索法的电动汽车与 DG 电压调节协调控制方法

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-19 DOI:10.1016/j.ijepes.2024.110295

Jisoo Kim, Jean Mahseredjian

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引用次数: 0

摘要

本文研究了当大规模分布式发电（DGs）和电动汽车（EVs）接入配电系统时，通过 DGs 和 EVs 之间的协调控制来解决可能出现的电压问题。利用图搜索法（GSM），通过对发生电压问题的附近区域的电动汽车和分布式发电设备进行无功功率控制，解决了电压问题。因此，可以获得对拓扑变化具有较高鲁棒性的结果，并减少了配电系统的总损耗。此外，当电压问题无法仅通过无功功率控制来解决时，还利用 GSM 对传统配电系统的特定划分系统中包含的电动汽车和 DG 进行了有功功率控制，以将电压维持在正常范围内。最后，为了验证所提方法的性能，通过连接开源配电系统仿真器（OpenDSS）和 MATLAB 实现了整个算法。

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Development of coordinated control method based on Graph search method between EV and DG for voltage regulation

In this paper, a study is conducted to solve voltage problems that may occur, when large-scale Distributed Generations (DGs) and Electric Vehicles (EVs) are connected to the distribution system, through coordinated control between DGs and EVs. Using the Graph Search Method (GSM), the voltage problem was solved through the reactive power control of EVs and DGs in the near area where the voltage problem occurred. As a result, it was possible to obtain a result with high robustness against the change of the topology and reduction of the total loss of distribution system. In addition, when the voltage problem cannot be solved by only reactive power control, the active power control was performed for EVs and DGs included in a specific divided system of the conventional distribution system using the GSM to maintain the voltage within the normal range. Finally, to verify the performance of the proposed method, the whole algorithm was implemented by linking the Open Source Distribution System Simulator (OpenDSS), and the MATLAB.

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.