Optimal Placement of Virtual Inertia in Power Grids

被引:219
作者
Poolla, Bala Kameshwar [1 ]
Bolognani, Saverio [1 ]
Dorfler, Florian [1 ]
机构
[1] Swiss Fed Inst Technol, Automat Control Lab, CH-8092 Zurich, Switzerland
关键词
power system dynamics; power system planning; optimization methods; robust optimization; virtual inertia; H-2 norm optimization; PERFORMANCE;
D O I
10.1109/TAC.2017.2703302
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
A major transition in the operation of electric power grids is the replacement of synchronous machines by distributed generation connected via power electronic converters. The accompanying "loss of rotational inertia" and the fluctuations by renewable sources jeopardize the system stability, as testified by the ever-growing number of frequency incidents. As a remedy, numerous studies demonstrate how virtual inertia can be emulated through various devices, but few of them address the question of "where" to place this inertia. It is, however, strongly believed that the placement of virtual inertia hugely impacts system efficiency, as demonstrated by recent case studies. In this paper, we carry out a comprehensive analysis in an attempt to address the optimal inertia placement problem. We consider a linear network-reduced power system model along with an H-2 performance metric accounting for the network coherency. The optimal inertia placement problem turns out to be non-convex, yet we provide a set of closed-form global optimality results for particular problem instances as well as a computational approach resulting in locally optimal solutions. Further, we also consider the robust inertia allocation problem, wherein the optimization is carried out accounting for the worst-case disturbance location. We illustrate our results with a three-region power grid case study and compare our locally optimal solution with different placement heuristics in terms of different performance metrics.
引用
收藏
页码:6209 / 6220
页数:12
相关论文
共 30 条
[1]
[Anonymous], 2014, IFAC Proc., DOI DOI 10.3182/20140824-6-ZA-1003.02615
[2]
Inertia Estimation of the GB Power System Using Synchrophasor Measurements [J].
Ashton, Phillip M. ;
Saunders, Christopher S. ;
Taylor, Gareth A. ;
Carter, Alex M. ;
Bradley, Martin E. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (02) :701-709
[3]
Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback [J].
Bamieh, Bassam ;
Jovanovic, Mihailo R. ;
Mitra, Partha ;
Patterson, Stacy .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (09) :2235-2249
[4]
Virtual synchronous generators: A survey and new perspectives [J].
Bevrani, Hassan ;
Ise, Toshifumi ;
Miura, Yushi .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 54 :244-254
[5]
Borsche TS, 2015, IEEE DECIS CONTR P, P5940, DOI 10.1109/CDC.2015.7403153
[6]
Enhancing Sparsity by Reweighted l1 Minimization [J].
Candes, Emmanuel J. ;
Wakin, Michael B. ;
Boyd, Stephen P. .
JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS, 2008, 14 (5-6) :877-905
[7]
D'Arco S., 2013, P IEEE POWERTECH
[8]
Sparsity-Promoting Optimal Wide-Area Control of Power Networks [J].
Doerfler, Florian ;
Jovanovic, Mihailo R. ;
Chertkov, Michael ;
Bullo, Francesco .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (05) :2281-2291
[9]
Kron Reduction of Graphs With Applications to Electrical Networks [J].
Doerfler, Florian ;
Bullo, Francesco .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (01) :150-163
[10]
Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids [J].
Dorfler, Florian ;
Simpson-Porco, John W. ;
Bullo, Francesco .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2016, 3 (03) :241-253