On the Solution of the Optimal Power Flow for Three-Phase Radial Distribution Networks With Energy Storage

被引:3
|
作者
Stai, Eleni [1 ]
Wang, Cong [1 ]
Le Boudec, Jean-Yves [1 ]
机构
[1] Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Switzerland
来源
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS | 2021年 / 8卷 / 01期
关键词
Battery losses; CoDistFlow; dispatch plan; grid losses; optimal power flow (OPF); radial distribution networks; scenario based; security constraints; three phases; AC OPF; SYSTEMS;
D O I
10.1109/TCNS.2020.3024319
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study a multiperiod optimal power flow (OPF) problem in unbalanced three-phase radial distribution networks with batteries. To address this problem, we first take the resistance-line battery model that treats lossy batteries by adding resistive lines and virtual buses. Then, we derive a linearization for the power flow equations, called generalized three-phase simplified DistFlow, which accounts for shunt elements. Also, it is exact at a freely chosen point while having globally good performance. Using it, we extend the heuristic iterative OPF algorithm, CoDistFlow, to unbalanced three-phase networks. At convergence, three-phase CoDistFlow gives a solution that satisfies the exact nonlinear power-flow equations and the exact security constraints. To theoretically guarantee the convergence of three-phase CoDistFlow, we develop the forced convergent three-phase CoDistFlow. Moreover, we show how to adapt the three-phase CoDistFlow to solve a scenario-based OPF in the presence of uncertainties, whereas other existing OPF solution methods may not offer this possibility. Finally, we perform evaluations on the IEEE 123-bus test feeder and comparisons with Ipopt.
引用
收藏
页码:187 / 199
页数:13
相关论文
共 50 条
  • [31] Method for the Analysis of Three-Phase Networks Containing Nonlinear Circuit Elements in View of an Efficient Power Flow Computation
    Tufan, Claudiu
    Nemoianu, Iosif Vasile
    ELECTRONICS, 2021, 10 (21)
  • [32] A backward sweep method for power flow solution in distribution networks
    Augugliaro, A.
    Dusonchet, L.
    Favuzza, S.
    Ippolito, M. G.
    Sanseverino, E. Riva
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2010, 32 (04) : 271 - 280
  • [33] A method for optimal integration of energy storage in distribution networks: a business case
    Pisera', Diego
    Silvestro, Federico
    Soares, Filipe Joel
    2021 IEEE MADRID POWERTECH, 2021,
  • [34] Combinatorial Optimization of AC Optimal Power Flow With Discrete Demands in Radial Networks
    Khonji, Majid
    Chau, Sid Chi-Kin
    Elbassion, Khaled
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (02): : 887 - 898
  • [35] Optimal energy storage planning for stacked benefits in power distribution network
    Gu, Chenjia
    Wang, Jianxue
    Zhang, Yao
    Li, Qingtao
    Chen, Yang
    RENEWABLE ENERGY, 2022, 195 : 366 - 380
  • [36] Equivalent circuit and calculation of unbalanced power in three-wire three-phase linear networks
    Montoya-Mira, Rafael
    Diez, Jose M.
    Blasco, Pedro A.
    Montoya, Rafael
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (07) : 1466 - 1473
  • [37] Line parameter, topology and phase estimation in three-phase distribution networks with non-μPMUs
    Shi, Zhengkun
    Xu, Qingshan
    Liu, Yuheng
    Wu, Chenyu
    Yang, Yongbiao
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [38] Flexible power weighting distribution for three-phase parallel inverters with networked control
    Ma, Hao
    Lin, Zhao
    Lin, Liaoyuan
    Zhang, Yao
    Wang, Xiaorui
    IET POWER ELECTRONICS, 2015, 8 (07) : 1181 - 1194
  • [39] An Intelligent Wind Farm Model for Three-phase Unbalanced Power Flow Studies
    Opathella, C.
    Cheng, D.
    Venkatesh, B.
    2014 4TH INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGY AND TECHNOPRENEURSHIP (ICE2T), 2014, : 99 - 104
  • [40] Generalized linear-constrained optimal power flow for distribution networks
    Li, Biao
    Wan, Can
    Li, Yunyi
    Jiang, Yibao
    Yu, Peng
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (06) : 1298 - 1309