Distributed Robust Optimal Dispatching of AC/DC Distribution Network Based on Data Driven Mode

被引：0
|
作者：
Sun X. [1 ]
Qiu X. [1 ]
Zhang Z. [1 ]
Ren H. [1 ]
Zhang M. [1 ]
机构：
[1] College of Electrical Engineering, Sichuan University, Chengdu
来源：
Dianwang Jishu/Power System Technology | 2021年 / 45卷 / 12期
关键词：
AC/DC distribution network; Demand response; DG; Distributed robust; Network reconfiguration; Uncertainty;
D O I：
10.13335/j.1000-3673.pst.2020.2273
中图分类号：
学科分类号：
摘要：
The replacement of clean energy helps achieve the goal of carbon-neutrality, but, on the other hand, the high proportion access of distributed generations (DG) such as wind and solar has also brought new challenges to the stable operation of the distribution network. The power distribution based on the AC/DC grid improves the absorption rate, while the VSC modeling is generally considered ideal, and the traditional optimization method has great limitations in dealing with DG and load uncertainty. Therefore, this paper establishes a distributed robust optimal dispatching of the AC/DC distribution network based on the data driven mode. First of all, taking the maximum profit of the distribution network as the objective function, this model considers the multiple constraints such as the DG operation constraints, the capacitive reactor switching, the energy storage charging and discharging adjustment, the electricity price demand response, the VSC operation, and the network reconfiguration to achieve optimal scheduling. Then, by using the second-order cone relaxation and the McCormick linearization methods, the original mixed integer nonlinear model is transformed into a mixed integer second-order cone-convex optimization model. Moreover, combined with the typical historical data of wind, solar and load, and the adjustment characteristics of the decision variables, a data-driven two-stage distributed robust model is constructed. The 1-norm and -norm are combined while constraining the uncertainty probability distribution confidence set. Finally, the column and constraint generation (CCG) algorithm is used to solve the problem. The validity of the proposed model is verified based on the modified IEEE33 node calculation example. © 2021, Power System Technology Press. All right reserved.
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页码：4768 / 4777
页数：9
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