AUTHOR=Ma Haomin , Wang Genping , Gao Xiang , Zou Zhouyiao , Dong Yanfei 

TITLE=An Adaptive Voltage Control Using Local Voltage Profile Mode and Similarity Ranking

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.865151

DOI=10.3389/fenrg.2022.865151

ISSN=2296-598X

ABSTRACT=Emergency voltage control provides a real-time online response to maintain the long-term voltage stability of a power system. Searching for an optimal emergency control solution is a hard combinatorial optimization problem because of highly dynamic and non-linear characteristics of power systems with discrete control variables. Additionally, real-time response is required. 
A new mode-matching-based adaptive voltage control is proposed in this paper to achieve a fast response by exploring local voltage profile modes and the technique of similarity ranking. First, some typical emergencies are studied in advance and their control knowledge is collected for preparation. The set of local voltage profile modes and its corresponding optimal control solutions are stored as knowledge for each emergency. Second, fast online control is realized that the control solution is configured according to a similarity ranking among local voltage profile modes. Furthermore, a learning process is applied to accumulate knowledge in case of unprepared situations. Thus, improved control performances in the future are ensured. 
    This paper depends on a new concept of local voltage profile mode with which knowledge preparation, emergency identification, configuration of control, and knowledge accumulation, work together to perform an effective response. Simulations of the IEEE 39-bus system verify this result.