Impacts of PV-STATCOM Reactive Power Dispatch in the Allocation of Capacitors Bank and Voltage Regulators on Active Distribution Networks

被引:8
作者
Lachovicz, Felipe J. [1 ,2 ]
Fernandes, Thelma S. P. [2 ]
Vilela Junior, Joao A. [2 ]
机构
[1] Inst Tecnol Desenvolvimento Lactec, Power Syst, Ave Comendador Franco 1341, BR-80215090 Curitiba, PR, Brazil
[2] Univ Fed Parana UFPR, Ctr Politecn UFPR, Elect Engn Dept, BR-19011 Curitiba, PR, Brazil
关键词
PV-STATCOM; Reactive power dispatch; Optimal power flow; Ancillary services;
D O I
10.1007/s40313-023-00995-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increasing penetration of distributed generation in the distribution network, mainly solar photovoltaic (PV) generation, the reactive power's planning must be revised to minimize problems arising from the massive penetration of this kind of generation. Therefore, the differential of this work is to study the impacts on the reactive power flows and power factor regulation arising from the massive penetration of PV generation when allocating capacitor banks (CB) and voltage regulators (VR). Given the available technology of the power electronics inverters, this work aims to model the reactive power dispatch of these generators in an optimal power flow to act as reactive power compensators throughout the day even at night, known as PV-STATCOM. The allocation process of CB and VR is solved by genetic algorithms, modeled to allow the CB placement in medium-voltage (MV) and low-voltage buses, while VR is placed only in MV. As PV-STATCOM penetration increases, the results show that this approach eliminates the need for fixed CB in the system, requiring only automatic CB on periods of maximum PV-STATCOM active power dispatch. Also, the combination of CB, VR, and PV-STATCOM is efficient for solving problems of power quality.
引用
收藏
页码:796 / 807
页数:12
相关论文
共 24 条
[1]   A Multi-Mode Control Strategy for VAr Support by Solar PV Inverters in Distribution Networks [J].
Alam, M. J. E. ;
Muttaqi, K. M. ;
Sutanto, D. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (03) :1316-1326
[2]  
[Anonymous], 2018, architecture for fog computing vehicular networks, P1, DOI [10.1109/IEEESTD.2018, DOI 10.1109/IEEESTD.2018]
[3]  
[Anonymous], 2012, Resolucao Normativa No 482, De 17 De Abril De 2012
[4]   Technical and Nontechnical Energy Loss Estimation Including Volt/Var Control for Active Distribution Systems [J].
Biazzi, Roberta Razzolini ;
Bernardon, Daniel Pinheiro ;
Becker, Eduarda ;
de Chiara, Lucas Melo ;
Silva, Juliano Andrade .
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2022, 33 (01) :255-267
[5]   Multiperiod Optimum Power Flow for Active Distribution Networks With Provisioning of Ancillary Services [J].
Blasi, Thais M. ;
Fernandes, Thelma S. P. ;
Aoki, Alexandre R. ;
Tabarro, Fabricio H. .
IEEE ACCESS, 2021, 9 :110371-110395
[6]  
Brasil, 2022, Empresa de Pesquisa Energetica (EPE). Plano Decenal de Expansao de Energia-PDE 2031
[7]   Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems [J].
Dall'Anese, Emiliano ;
Dhople, Sairaj V. ;
Giannakis, Georgios B. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (02) :487-497
[8]  
EIA, 2021, International Energy Outlook, 2021
[9]  
El Kadi Youssef Ait, 2021, International Journal of Electrical and Electronic Engineering & Telecommunications, P36, DOI 10.18178/ijeetc.10.1.36-48
[10]   On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations [J].
Gabash, Aouss ;
Li, Pu .
ENERGIES, 2016, 9 (03)