Robust Volt/VAr Control With Photovoltaics

被引:91
作者
Jabr, Rabih A. [1 ]
机构
[1] Amer Univ Beirut, Dept Elect & Comp Engn, Beirut 11072020, Lebanon
关键词
Decentralized control; distributed power generation; load flow control; optimization methods; reactive power control; uncertainty; voltage control; VOLTAGE CONTROL; REACTIVE POWER; OPTIMAL DISPATCH; INVERTERS;
D O I
10.1109/TPWRS.2018.2890767
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 new IEEE 1547-2018 standard includes dynamic Volt/VAr control for photovoltaic (PV) smart inverters. While recent research has addressed the problem of optimal inverter dispatch, the interaction between inverters and the classical Volt/VAr control (VVC) regulation system needs further study. This paper proposes an approach that builds on the classical VVC solution with PVs, by computing for each inverter a rule that modulates the smart inverter reactive power in function of its real power. Two approaches are presented for computing the inverter's reactive power equation slope: the first approach is based on the robust minimization of the absolute voltage magnitude deviation via a linear program, whereas the second approach yields closed-form solutions inspired from distributionally robust chance constraints. Numerical results are presented on weakly meshed distribution networks having up to 3146 nodes; they demonstrate that the voltage violations due to intermittent real power variations are significantly reduced by the decision rules as compared to maintaining the last computed VVC set-points, even when the inverters operate at constant power factor or with default Volt/VAr settings proposed in the literature; additionally, the reactive power decision rules maintain a network loss level that is close to the average from a centralized solution.
引用
收藏
页码:2401 / 2408
页数:8
相关论文
共 34 条
[1]  
[Anonymous], 2018, ROBUST VVC DISTRIBUT
[2]  
[Anonymous], 2016, IBM ILOG CPLEX VER 1
[3]  
Ayyagari KS, 2017, IEEE GLOB CONF SIG, P1050, DOI 10.1109/GlobalSIP.2017.8309121
[4]  
Baker K., 2016, P N AM POW S DENV CO, P1
[5]   Network-Cognizant Voltage Droop Control for Distribution Grids [J].
Baker, Kyri ;
Bernstein, Andrey ;
Dall'Anese, Emiliano ;
Zhao, Changhong .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (02) :2098-2108
[6]   Decentralized Stochastic Optimal Power Flow in Radial Networks With Distributed Generation [J].
Bazrafshan, Mohammadhafez ;
Gatsis, Nikolaos .
IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) :787-801
[7]   On distributionally robust chance-constrained linear programs [J].
Calafiore, G. C. ;
El Ghaoui, L. .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2006, 130 (01) :1-22
[8]   Closed-Loop Volt/Var Optimization Addressing Peak Load Reduction [J].
Carden, Jeremy ;
Popovic, Dragan .
IEEE POWER & ENERGY MAGAZINE, 2018, 16 (02) :67-75
[9]   Voltage Responsive Distribution Networks: Comparing Autonomous and Centralized Solutions [J].
Cuffe, Paul ;
Keane, Andrew .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (05) :2234-2242
[10]   Decentralized Optimal Dispatch of Photovoltaic Inverters in Residential Distribution Systems [J].
Dall'Anese, Emiliano ;
Dhople, Sairaj V. ;
Johnson, Brian B. ;
Giannakis, Georgios B. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2014, 29 (04) :957-967