Optimal current flow technique for distribution systems with renewable energy generation

被引:0
|
作者
Adolfo Blengini Neto
Fabiana Silva Podeleski
Lia Mota
Marcius Fabius Henriques de Carvalho
机构
[1] CEATEC PUC-Pontifical Catholic University of Campinas,
来源
Energy Systems | 2022年 / 13卷
关键词
Optimal current flow; Distribution system; Renewable energy generation; Optimization network flow model;
D O I
暂无
中图分类号
学科分类号
摘要
This article presents an optimal current flow (OCF) technique for analyzing distribution systems with renewable energy generation. The overall aim of this study is to reduce the complexity of the traditional nonlinear models by representing the problem as a quadratic optimization network flow model with linear constraints. The objective of the OCF method is minimization of renewable generation costs with or without consideration of transmission losses. Taking advantage of the topological characteristic of the distribution system, the network constraints are represented by Kirchhoff current and voltage laws. In addition, the model considers the capacity limits of the distribution components (renewable generators, transformers and lines current flow). The robustness and fastness of the OCF method is tested on 34-bus, 69-bus, and 400-bus systems under balanced and unbalanced, conditions and in radial or meshed distribution systems under different load scenarios. The results demonstrate the accuracy, and efficiency of the proposed approach in determining the optimal operation of a distribution system with renewable energy generation.
引用
收藏
页码:725 / 747
页数:22
相关论文
共 50 条
  • [1] Optimal current flow technique for distribution systems with renewable energy generation
    Blengini Neto, Adolfo
    Podeleski, Fabiana Silva
    Mota, Lia
    Henriques de Carvalho, Marcius Fabius
    ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2022, 13 (03): : 725 - 747
  • [2] Optimal dimensioning of renewable energy generation and storage systems
    Hackenberg, Annika
    Kappertz, Lars
    Rapol, Satish
    Solovievskyi, Viacheslav
    Büskens, Christof
    Energy Conversion and Management: X, 2024, 24
  • [3] Parametric Distribution Optimal Power Flow With Variable Renewable Generation
    Guo, Zhongjie
    Wei, Wei
    Chen, Laijun
    Dong, ZhaoYang
    Mei, Shengwei
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (03) : 1831 - 1841
  • [4] Optimal expansion model of renewable distributed generation in distribution systems
    Montoya-Bueno, Sergio
    Ignacio Munoz, Jose
    Contreras, Javier
    2014 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2014,
  • [5] Optimal Operation of Energy Storage in Distribution Systems with Renewable Energy Resources
    Bozchalui, Mohammad Chehreghani
    Sharma, Ratnesh
    2014 CLEMSON UNIVERSITY POWER SYSTEMS CONFERENCE (PSC), 2014,
  • [6] Optimal allocation of renewable energy systems in a weak distribution network
    Miller, Markus
    Paternina, Jose Luis
    Contreras, Sergio F.
    Cortes, Camilo A.
    Myrzik, Johanna M. A.
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 235
  • [7] Optimal reconfiguration and renewable distributed generation allocation in electric distribution systems
    Sambaiah, Kola Sampangi
    Jayabarathi, T.
    INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2021, 42 (09) : 1018 - 1031
  • [8] Optimal Allocation of Energy Storage System in Distribution Systems with Intermittent Renewable Energy
    Pontes, L. R.
    Espinoza, H. R.
    Molina, Y. P.
    Luyo, J. E.
    IEEE LATIN AMERICA TRANSACTIONS, 2021, 19 (02) : 288 - 296
  • [9] Optimal Scheduling of Active Distribution Systems for Transregional Utilization of Renewable Energy
    Shi, Jinyue
    Zeng, Bo
    Zhou, Yiyao
    Zhang, Jianhua
    Zheng, Xiong
    Yang, Xu
    2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 431 - 436
  • [10] Optimal Placement of Renewable Energy based Distributed Generation Units using MCDM Technique
    Bansal, Manoj Kumar
    Garg, Pratibha
    Gupta, Neha
    Agarwal, Mohini
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2021, 6 (04) : 1199 - 1213