Distributionally robust chance-constrained operation of distribution grids considering voltage constraints

被引:0
作者
Wang, Chao [1 ]
Sun, Junjie [1 ]
Li, Xinwei [1 ]
Yang, Tiankai [2 ]
Liu, Wansong [1 ]
机构
[1] State Grid Liaoning Elect Power Co Ltd, Elect Power Res Inst, Shenyang, Peoples R China
[2] Dalian Maritime Univ, Coll Marine Elect Engn, Dalian, Peoples R China
来源
FRONTIERS IN ENERGY RESEARCH | 2024年 / 12卷
关键词
uncertainty of renewable energy sources; voltage security constraints; distributionally robust chance constraints; Wasserstein distance; conditional risk value; linearized method; DISTRIBUTION NETWORKS; ENERGY; OPTIMIZATION; FRAMEWORK;
D O I
10.3389/fenrg.2024.1440192
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The distribution grid experiences node voltage fluctuations due to the growing uncertainty of large-scale renewable energy sources A practical solution is establishing a chance-constrained optimal model to deal with the uncertainties. However, using this method needs to know the accurate probability distribution of node power injections, which has limitations in application. Therefore, this paper proposes a distributionally robust chance-constrained optimization method for power grid operation based on the ambiguity set of probability distributions. Firstly, considering voltage security constraints, this paper establishes a chance-constrained model to minimize the cost of active power regulation. Besides, based on the Wasserstein ambiguity set, a linearized method is proposed to convexify the objective function. Moreover, the conditional risk value (CVaR) is applied to convert the uncertain model into a deterministic model. The effectiveness of the proposed method is validated through optimization results obtained for the modified PG&E69-bus distribution grid.
引用
收藏
页数:10
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