Voltage Control in Transmission Grids Considering Uncertainties of Renewable Energy Sources

被引:0
|
作者
Knittel, Markus [1 ]
Majumdar, Neelotpal [1 ]
Schneider, Maximilian [1 ]
Thie, Nicolas [1 ]
Moser, Albert [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst High Voltage Equipment & Grids Digitalizat &, Aachen, Germany
关键词
optimal reactive power flow; uncertainty; voltage control;
D O I
暂无
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
Power traders and system operators need to balance the uncertain generation of renewable energy sources by adapting the dispatch of conventional power plants. This poses a challenge to voltage control in power system operation. Accordingly, this paper presents a method to determine voltage magnitude probability densities which are integrated into an optimal reactive power flow to consider an uncertain active power generation. First, the probability densities are determined by Monte Carlo simulations including a unit commitment problem to derive the dispatch of conventional power plants. Second, uncertainty restrictions are used to create soft constraints for the optimal reactive power flow, which mitigates the risk of voltage limit violations. By adapting the soft constraints slack costs, the consideration of uncertainties can be prioritized in relation to other objectives, such as the reduction of active power losses, or reactive power costs.
引用
收藏
页码:580 / 585
页数:6
相关论文
共 50 条
  • [41] Control of Micro-grids with Renewable Power Sources
    Dvorsky, E.
    Hejtmankova, P.
    Skorpil, J.
    [J]. 2008 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION: LATIN AMERICA, VOLS 1 AND 2, 2008, : 742 - 745
  • [42] Coordinate optimization for grid-connected microgrid considering uncertainties of renewable energy sources and electric vehicles
    Yang Xiaodong
    Zhang Youbing
    Wang Guofeng
    Ren Shuaijie
    Shan Weiwei
    Lu Junjie
    [J]. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3224 - 3231
  • [43] Restoration model for unbalanced distribution networks considering renewable sources uncertainties
    Zhang, Tao
    Mu, Yunfei
    Liu, Cong
    Wang, Xiaoyu
    Xu, Jing
    Jia, Lihu
    Song, Yi
    [J]. ENERGY REPORTS, 2023, 9 : 296 - 303
  • [44] Restoration model for unbalanced distribution networks considering renewable sources uncertainties
    Zhang, Tao
    Mu, Yunfei
    Liu, Cong
    Wang, Xiaoyu
    Xu, Jing
    Jia, Lihu
    Song, Yi
    [J]. ENERGY REPORTS, 2023, 9 : 296 - 303
  • [45] Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network
    Zhao, Qianyu
    Liao, Wenlong
    Wang, Shouxiang
    Pillai, Jayakrishnan Radhakrishna
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (06) : 1104 - 1114
  • [46] Robust Voltage Control Considering Uncertainties of Renewable Energies and Loads via Improved Generative Adversarial Network
    Qianyu Zhao
    Wenlong Liao
    Shouxiang Wang
    Jayakrishnan Radhakrishna Pillai
    [J]. Journal of Modern Power Systems and Clean Energy, 2020, 8 (06) : 1104 - 1114
  • [47] Multilevel inverter for interfacing renewable energy sources with low/medium- and high-voltage grids
    Agrawal, Rekha
    Jain, Shailendra
    [J]. IET RENEWABLE POWER GENERATION, 2017, 11 (14) : 1822 - 1831
  • [48] Microgrid Operation for a Low Voltage Network with Renewable Energy Sources for Losses Minimisation and Voltage Control
    Wanik, M. Z. C.
    Ibrahim, A. A.
    Shareef, H.
    Huat, T. J.
    [J]. 2015 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2015,
  • [49] Stability Constrained Voltage Control for Transmission Grids
    Wang, Heng
    Sun, Yiqian
    Wang, Zhe
    Guo, Jianfeng
    Su, Changsheng
    Song, Pengfei
    [J]. 2023 2ND ASIAN CONFERENCE ON FRONTIERS OF POWER AND ENERGY, ACFPE, 2023, : 406 - 411
  • [50] A Polynomial Chaos-based Approach to Quantify Uncertainties of Correlated Renewable Energy Sources in Voltage Regulation
    Abdelmalak, Michael
    Benidris, Mohammed
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (03) : 2089 - 2097