Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review

被引:0
|
作者
Allahmoradi, Sarah [1 ]
Afrasiabi, Shahabodin [1 ]
Liang, Xiaodong [1 ]
Zhao, Junbo [2 ]
Shahidehpour, Mohammad [3 ]
机构
[1] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada
[2] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
[3] IIT, Robert W Galvin Ctr Elect Innovat, Chicago, IL 60616 USA
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Data-driven decision-making; distribution networks; supervised; unsupervised; ensemble learning; reinforcement learning; renewable energy resources; Volt/Var optimization; CONSERVATION VOLTAGE REDUCTION; SMART DISTRIBUTION NETWORKS; PENETRATION; INVERTERS; SUPPORT; ENERGY; CVR;
D O I
10.1109/ACCESS.2024.3403035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Volt/Var optimization (VVO) enables advanced control strategy development for voltage regulation. With the recent advancement of data-driven approaches and communication infrastructure, realtime decision-making through VVO can effectively address distributed energy resources (DERs) uncertainties without relying on models and topologies of distribution networks. In this paper, a comprehensive review on data-driven VVO in distribution networks is presented, focusing on statistics and machine learning (supervised/unsupervised, ensemble, and reinforcement learning (RL)). State-of-the-art monitoring devices essential in data-driven VVO frameworks are firstly discussed. How data-driven structures serve as primary or supplementary tools in VVO frameworks is then detailed. Since RL is increasingly used, RL-based algorithms (value-based, policy-based, actor-critic-based, and graph-based algorithms) are reviewed. Decision-making processes for RL-based VVO frameworks, such as the Markov decision process (MDP), Markov game, constrained Markov decision process, constrained Marko game, and adversarial Markov decision process, are also surveyed. Future research directions in this area are recommended in the paper.
引用
收藏
页码:71184 / 71204
页数:21
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