Distributionally Robust Optimization-Based Stochastic Operation Strategy of MVDC System in Distribution Networks

被引：0
作者：
Han, Changhee [3 ]
Choi, Jaeseok [2 ]
Jang, Gilsoo [1 ]
机构：
[1] School of Electrical Engineering, Korea University, Seoul
[2] Shimonoseki City University, Shimonoseki
[3] Dept. of Electrical Engineering, Gyeongsang National University, Jinju
来源：
Transactions of the Korean Institute of Electrical Engineers | 2024年 / 73卷 / 08期
关键词：
Distribution Networks; Distributionally Robust Optimization; MVDC; Stochastic Optimization;
D O I：
10.5370/KIEE.2024.73.8.1291
中图分类号：
学科分类号：
摘要：
This study proposed a stochastic optimization-based operation strategy of medium-voltage dc (MTDC) system which can regulate power flows in distribution networks (DNs). We considered the uncertainty from forecast errors of photovoltaic (PV) and load output, using distributionally robust chance constrained optimization method. For optimally operating the MTDC system in DNs, the proposed method stochastically relaxes the reliability constraints on the bus voltage and branch power flow, to maximize the cost-benefit of the DNs. Through numerical comparisons of the simulation results, we showed that the distribution system operator can achieve economic efficiency for imported electricity by relaxing conservativeness in reliability of DNs. © 2024 Korean Institute of Electrical Engineers. All rights reserved.
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收藏
页码：1291 / 1297
页数：6
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