Co-optimising frequency-containment services from zero-carbon sources in electricity grids dominated by Renewable Energy Sources

被引:0
作者
Baig, Aimon Mirza [1 ]
Badesa, Luis [2 ]
Wang, Yi [1 ]
Strbac, Goran [1 ]
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[2] Tech Univ Madrid UPM, Ronda Valencia 3, Madrid 28012, Spain
关键词
Ancillary services; Frequency security; Inertia; Renewable energy sources; SYNCHRONOUS-CONDENSER; PORTFOLIO;
D O I
10.1016/j.ijepes.2024.110375
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
Power systems dominated by Renewable Energy Sources (RES) are characterised by reduced levels of inertia, which in turn threaten the security of the electricity grid, and significantly increase the requirement for ancillary services such as inertia and Frequency Response (FR). Since inertia and FR are typically provided by part-loaded thermal generators, system security and carbon emissions are still highly coupled. Therefore, it becomes critical to investigate alternative ways to guarantee grid stability without resorting to polluting assets, as emissions targets would be unattainable otherwise. In this context, the present paper introduces frequency-security constrained Stochastic Unit Commitment (SUC) model, which simultaneously co-optimises clean services such as inertia from Synchronous Condensers (SCs) and FR from part-loaded RES and Battery Energy Storage System (BESS). A methodology is proposed to capture the dynamics for inertia from SCs, Primary Frequency Response (PFR) from RES and Enhanced Frequency Response (EFR) from BESS in the form of linear constraints. The ancillary services dynamics are then mapped into the optimisation through frequency-security constraints obtained by solving the swing equation, eventually formulated as a Mixed Integer Second-Order Cone Program (MISOCP). The proposed constraints enforce that sufficient ancillary services are scheduled to maintain system stability, while taking advantage of the economic savings and emissions reduction from zero-carbon sources. Finally, to provide a rigorous quantification of the benefits of co-optimising the provision of zero-carbon ancillary services, a 2030 Great Britain (GB) power system scenario is used. The results demonstrate that ancillary services costs can be reduced from 35% to 3.3% and 45% to 4.2% of the total system operating cost under wind scenarios of 70GW and 100GW respectively. Similarly, simulations demonstrate that the provision of ancillary services can significantly reduce emissions in the system.
引用
收藏
页数:12
相关论文
共 39 条
[1]   Impact of Synchronous Condenser on the Dynamic Behavior of LCC-based UHVDC System Hierarchically Connected to AC System [J].
Aamir, Ali ;
Qiao, Li ;
Guo, Chunyi ;
Rehman, Atiq Ur ;
Yang, Zhizhong .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2019, 5 (02) :190-198
[2]   Assigning Shadow Prices to Synthetic Inertia and Frequency Response Reserves From Renewable Energy Sources [J].
Badesa, Luis ;
Matamala, Carlos ;
Zhou, Yujing ;
Strbac, Goran .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2023, 14 (01) :12-26
[3]   Ancillary services in Great Britain during the COVID-19 lockdown: A glimpse of the carbon-free future [J].
Badesa, Luis ;
Strbac, Goran ;
Magill, Matt ;
Stojkovska, Biljana .
APPLIED ENERGY, 2021, 285
[4]   Optimal Portfolio of Distinct Frequency Response Services in Low-Inertia Systems [J].
Badesa, Luis ;
Teng, Fei ;
Strbac, Goran .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (06) :4459-4469
[5]   Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment [J].
Badesa, Luis ;
Teng, Fei ;
Strbac, Goran .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (05) :3858-3868
[6]   Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case [J].
Baig, Aimon Mirza ;
Badesa, Luis ;
Strbac, Goran .
2021 IEEE MADRID POWERTECH, 2021,
[7]  
Banks J, 2017, Fast frequency response markets for high renewable energy penetrations in the future Australian NEM
[8]   Chance-Constrained Optimal Configuration of BESS Considering Uncertain Power Fluctuation and Frequency Deviation Under Contingency [J].
Cao, Yongji ;
Wu, Qiuwei ;
Zhang, Hengxu ;
Li, Changgang ;
Zhang, Xuan .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2022, 13 (04) :2291-2303
[9]  
Caroe CC, 2011, A two -stage stochastic program for unit commitment under uncertainty in a hydro -thermal power system
[10]  
Department for Business Energy and Industrial Strategy, 2022, Review of electricity market arrangements