Synchrophasors-Based Distributed Secondary Voltage/VAR Control via Cellular Network

被引:29
作者
Borghetti, Alberto [1 ]
Bottura, Riccardo [1 ]
Barbiroli, Marina [1 ]
Nucci, Carlo Alberto [1 ]
机构
[1] Univ Bologna, Dept Elect Elect & Informat Engn, I-40136 Bologna, Italy
关键词
Multi-agent systems; photovoltaic power generation; power distribution network; phasor measurement unit; reactive power control; secondary voltage/var control; simulation; REACTIVE POWER INJECTION; PHOTOVOLTAIC SYSTEMS; LOSS MINIMIZATION; VOLT/VAR CONTROL; CIRCUITS;
D O I
10.1109/TSG.2016.2606885
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The impact of the increasing connection of distributed generation to medium voltage feeders, with particular reference to photovoltaic (PV) units, justifies the investigation on secondary voltage/VAR control (VVC) schemes able to improve the utilization of available control resources and to reduce reactive power flows. This paper deals with a secondary VVC scheme based on a distributed multi-agent approach that requires only the estimation of the reactive power flows between the buses, where the PV units with reactive power control capability are connected. Phasor measurement units are used to get the relevant information. In general, distributed control approaches are expected to work adequately even by using communication infrastructures with lower performances than those required by centralized approaches. This paper addresses such an issue by the analysis of the distributed VVC performance when a shared cellular network is used for the cooperative adjustment of PV inverters reactive power outputs and of tap positions of transformers equipped with on-load tap changers. The analysis is carried out by using a specifically developed information and communications technology-power co-simulation platform. It is shown that the VVC scheme has adequate performances also in the presence of significant levels of background traffic and data loss.
引用
收藏
页码:262 / 274
页数:13
相关论文
共 42 条
  • [1] Probabilistic PMU Placement in Electric Power Networks: An MILP-Based Multiobjective Model
    Aghaei, Jamshid
    Baharvandi, Amir
    Rabiee, Abdorreza
    Akbari, Mohammad-Amin
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2015, 11 (02) : 332 - 341
  • [2] Albarracín R, 2013, 2013 12TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC 2013), P13, DOI 10.1109/EEEIC.2013.6549630
  • [3] Alok Mishra, 2006, International Journal of Information Technology and Management, V5, P4, DOI 10.1504/IJITM.2006.008710
  • [4] [Anonymous], P INN SMART GRID TEC
  • [5] [Anonymous], EMTP RV NEWSLETT
  • [6] A multiagent-based dispatching scheme for distributed generators for voltage support on distribution feeders
    Baran, Mesut E.
    El-Markabi, Ismail M.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (01) : 52 - 59
  • [7] Accommodating High PV Penetration on Distribution Feeders
    Baran, Mesut E.
    Hooshyar, Hossein
    Shen, Zhan
    Huang, Alex
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (02) : 1039 - 1046
  • [8] A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids
    Bolognani, Saverio
    Zampieri, Sandro
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (11) : 2818 - 2833
  • [9] Bolognani S, 2012, IEEE DECIS CONTR P, P1118, DOI 10.1109/CDC.2012.6426317
  • [10] Borghetti A., 2014, The Problem of Definition, P1, DOI [DOI 10.1007/978-1-4614-9539-01, 10.1007/978-1-4614-9539-01]