Command Governor Strategies for the Online Management of Reactive Power in Smart Grids With Distributed Generation

被引:7
作者
Casavola, Alessandro [1 ]
Tedesco, Francesco [1 ]
Vizza, Maurizio [1 ]
机构
[1] Univ Calabria, Dipartimento Ingn Elettron Informat & Sistemist, I-87036 Arcavacata Di Rende, Italy
关键词
Command governor; distributed predictive control; smart grids; voltage regulation; VOLTAGE CONTROL; DISTRIBUTION NETWORKS; DISTRIBUTION-SYSTEMS; LOSS MINIMIZATION; COORDINATION; OPTIMIZATION; CURTAILMENT; MICROGRIDS; FEEDERS; RISE;
D O I
10.1109/TASE.2017.2655460
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
High penetration of distributed generation (DG) in medium voltage (MV) power grids may easily lead to abrupt voltage raises in the presence of either low demand conditions or high power production from renewable sources. In order to cope with the possibly occurring voltage limit violation, the active power injected by the distributed generators is typically curtailed, being, however, such an approach suboptimal from an economical point of view and presenting several other disadvantages. To address this issue, the online management and coordination of the reactive power injected/absorbed by the distributed generators acting on the grid are proposed here. The approach is based on command governor ideas that are used here to optimally solve constrained voltage control problems in both centralized and distributed ways. The approach foresees an active coordination between some controllable devices of the grid, e.g., distributed generators and MV/high voltage transformers, in order to maintain relevant system variables within prescribed operative constraints in response to unexpected adverse conditions. Simulation results show that the proposed approach is more effective than approaches suggested by the current Italian norms on DGs connection.
引用
收藏
页码:449 / 460
页数:12
相关论文
共 45 条
[1]   Reactive Power Management of a DFIG Wind System in Microgrids Based on Voltage Sensitivity Analysis [J].
Aghatehrani, Rasool ;
Kavasseri, Rajesh .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2011, 2 (04) :451-458
[2]  
[Anonymous], INT J DISTRIB ENERGY
[3]  
[Anonymous], 2006, THESIS CHALMERS U TE
[4]   Reactive power control using dynamic Particle Swarm Optimization for real power loss minimization [J].
Badar, Altaf Q. H. ;
Umre, B. S. ;
Junghare, A. S. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 41 (01) :133-136
[5]  
Barboza LV, 2004, 2004 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, P538
[6]   A predictive reference governor for constrained control systems [J].
Bemporad, A ;
Casavola, A ;
Mosca, E .
COMPUTERS IN INDUSTRY, 1998, 36 (1-2) :55-64
[7]   Radial MV networks voltage regulation with distribution management system coordinated controller [J].
Bignucolo, Fabio ;
Caldon, Roberto ;
Prandoni, Valter .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (04) :634-645
[8]   Development of innovative voltage control for distribution networks with high photovoltaic penetration [J].
Bletterie, B. ;
Gorsek, A. ;
Fawzy, T. ;
Premm, D. ;
Deprez, W. ;
Truyens, F. ;
Woyte, A. ;
Blazic, B. ;
Uljanic, B. .
PROGRESS IN PHOTOVOLTAICS, 2012, 20 (06) :747-759
[9]   A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids [J].
Bolognani, Saverio ;
Zampieri, Sandro .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (11) :2818-2833
[10]   Online Optimal Reactive Power Control Strategy of PV Inverters [J].
Cagnano, Alessia ;
De Tuglie, Enrico ;
Liserre, Marco ;
Mastromauro, Rosa A. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (10) :4549-4558