A Framework for Assessing Renewable Integration Limits With Respect to Frequency Performance

被引:54
作者
Ahmadyar, Ahmad Shabir [1 ]
Riaz, Shariq [1 ,2 ]
Verbic, Gregor [1 ]
Chapman, Archie [1 ]
Hill, David J. [1 ,3 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Fac Elect & Informat Technol, Sydney, NSW 2006, Australia
[2] Univ Engn & Technol Lahore, Dept Elect Engn, Lahore 54890, Pakistan
[3] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
关键词
Frequency control; future power system security; minimum system inertia; rotational kinetic energy; synchronous condensers; synthetic inertia; GENERATION; SYSTEMS; INERTIA;
D O I
10.1109/TPWRS.2017.2773091
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 increasing penetration of nonsynchronous renewable energy sources (NS-RES) and demand side-technologies alter the dynamic characteristics, and particularly, the frequency behavior of a power system. Given this, we propose a framework for assessing renewable integration limits concerning power system frequency performance using a time-series scenario based approach. By considering a large number of future scenarios and their sensitivities with respect to different parameters, we can identify maximum nonsynchronous instantaneous penetration limits for a wide range of possible scenarios. Further, we derive a dynamic inertia constraint and incorporate it into the market dispatch model to reduce the detrimental impacts of high NS-RES penetration on the frequency performance. The results using the Australian future grid as a test case show that such an explicit inertia constraint ensures power system frequency stability for all credible contingencies. To improve the frequency performance, we assess and quantify the contribution of a wide range of technologies, including synchronous condensers, synthetic inertia from wind farms and a governor-like response from de-loaded wind farms. The results show that the last option is the most effective one.
引用
收藏
页码:4444 / 4453
页数:10
相关论文
共 38 条
[1]  
AEMO, 2013, 100 CENT REN STUD MO
[2]  
Ahmad AZ, 2016, ACSR ADV COMPUT, V38, P1, DOI 10.1109/VTS.2016.7477263
[3]   Coordinated Operation Strategy of Wind Farms for Frequency Control by Exploring Wake Interaction [J].
Ahmadyar, Ahmad Shabir ;
Verbic, Gregor .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2017, 8 (01) :230-238
[4]   Stability analysis of interconnected power systems coupled with market dynamics [J].
Alvarado, FL ;
Meng, JP ;
DeMarco, CL ;
Mota, WS .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (04) :695-701
[5]  
[Anonymous], 2015, TECH REP
[6]  
[Anonymous], TECH REP
[7]  
[Anonymous], 2013, TECH REP
[8]  
[Anonymous], 2013, FUT ANC SERV ERCOT
[9]  
[Anonymous], 2017, BLACK SYST S AUSTR
[10]  
[Anonymous], SYSTEM THEORETIC PER