REVIEW PAPER
A Collaborative Robust Scheduling Model for Flexibility Resources of Source, Grid, Load, and Storage in the New Power System
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Wei Fan 2,3
 
 
 
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1
Inner Mongolia Electric Power Economics and Technology Research Institute, Hohhot, Inner Mongolia, China
 
2
School of Economics and Management, Beihang University, Beijing, China
 
3
Beijing Energy Development Research Center, Beijing, China
 
 
Submission date: 2024-12-01
 
 
Final revision date: 2025-01-11
 
 
Acceptance date: 2025-01-24
 
 
Online publication date: 2025-03-25
 
 
Corresponding author
Tao Ling   

School of Economics and Management, Beihang University, Beijing, China
 
 
 
KEYWORDS
TOPICS
ABSTRACT
The power generation of renewable energy sources is directly related to meteorological conditions like wind speed and sunlight. Integrating large-scale unstable power sources into the power system generates a need for adjustment and introduces operational risks. To improve the system’s adjustment performance and address the impact of uncertainties, this paper analyzes the operational characteristics and adjustment differences of various flexible resources and proposes a collaborative robust scheduling model for multi-flexible resources of source, grid, load, and storage, considering multiple uncertainties. The model aims to minimize system operation costs, including technical modifications, fuel consumption, start-up and shutdown, and energy curtailment, while satisfying constraints such as real-time supply-demand balance, system adjustment margin, and unit operation. An improved robust optimization theory is introduced to handle the uncertainties in renewable energy, transforming the model into an easier-to-solve problem. Finally, the case study results show that various flexible resources of source-grid-load-storage have different adjustment performances, and all types of resources are indispensable for a power system with a high proportion of renewable energy. Applying the proposed collaborative robust scheduling model can achieve a balanced decision-making process between risk and economy, ensuring complementary advantages and optimal allocation of various source-grid-loadstorage resources.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (30)
1.
ZHANG D., ZHU Z., CHEN S., ZHANG C., LU X., ZHANG X., ZHANG X., DAVIDSON M.R. Spatially resolved land and grid model of carbon neutrality in China. Proceedings of the National Academy of Sciences, 121 (10), e2306517121, 2024. https://doi.org/10.1073/pnas.2... PMid:38408236 PMCid:PMC10927511.
 
2.
WANG Y., WANG R., TANAKA K., CIAIS P., PENUELAS J., BALKANSKI Y., SARDANS J., HAUGLUSTAINE D., LIU W., XING X., LI J., XU S., XIONG Y., YANG R., CAO J., CHEN J., WANG L., TANG X., ZHANG R. Accelerating the energy transition towards photovoltaic and wind in China. Nature, 619 (7971), 761, 2023. https://doi.org/10.1038/s41586... PMid:37495878 PMCid:PMC10371865.
 
3.
FANG X., CUI H., YUAN H., TAN J., JIANG T. Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties. Applied Energy, 252, 113420, 2019. https://doi.org/10.1016/j.apen....
 
4.
JIANG Z., HAN J., LI Y., CHEN X., PENG T., XIONG J., et al. Charging station layout planning for electric vehicles based on power system flexibility requirements. Energy, 283, 128983, 2023. https://doi.org/10.1016/j.ener....
 
5.
LIANG Y., KLEIJN R., VAN DER VOET E. Increase in demand for critical materials under IEA Net-Zero emission by 2050 scenario. Applied Energy, 346, 121400, 2023. https://doi.org/10.1016/j.apen....
 
6.
HUANG M., CHANG J., GUO A., ZHAO M., YE X., LEI K., PENG Z., WANG Y. Cascade hydropower stations optimal dispatch considering flexible margin in renewable energy power system. Energy, 285, 129375, 2023. https://doi.org/10.1016/j.ener....
 
7.
WANG C., SONG J. Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations. Energy, 263, 125886, 2023. https://doi.org/10.1016/j.ener....
 
8.
JIN X., LIU B., LIAO S., CHENG C., ZHANG Y., JIA Z. Assessing hydropower capability for accommodating variable renewable energy considering peak shaving of multiple power grids. Energy, 305, 132283, 2024. https://doi.org/10.1016/j.ener....
 
9.
QIN B., WANG H., LIAO Y., LI H., DING T., WANG Z., LI F., LIU D. Challenges and opportunities for long-distance renewable energy transmission in China. Sustainable Energy Technologies and Assessments, 69, 103925, 2024. https://doi.org/10.1016/j.seta....
 
10.
CUI J., RAN Z., SHEN W., XIN Y. Study on multi-type flexible load control method of active distribution network based on dynamic time-sharing electricity price. Applied Energy, 357, 122479, 2024. https://doi.org/10.1016/j.apen....
 
11.
CHEN X., WANG Y., WU Z., ZHOU M., YUAN B. Capacity expansion model for multi-temporal energy storage in renewable energy base considering various transmission utilization rates. Journal of Energy Storage, 98, 113145, 2024. https://doi.org/10.1016/j.est.....
 
12.
WANG J., ZENG P., YIN L., DONG Y., LIU X., YANG R. A two-stage distributed stochastic planning method for source-grid-load-storage flexibility resources considering flexible ramp capacity. International Journal of Electrical Power & Energy Systems, 160, 110134, 2024. https://doi.org/10.1016/j.ijep....
 
13.
HAO J., FENG X., CHEN X., JIN X., WANG X., HAO T., HONG F., DU X. Optimal scheduling of active distribution network considering symmetric heat and power source-load spatial-temporal characteristics. Applied Energy, 373, 123974, 2024. https://doi.org/10.1016/j.apen....
 
14.
YANG L., JIANG Y., CHONG Z. Optimal scheduling of electro-thermal system considering refined demand response and source-load-storage cooperative hydrogen production. Renewable Energy, 215, 118845, 2023. https://doi.org/10.1016/j.rene....
 
15.
XIANG S., XU D., WANG P., BAI Z., ZENG L. Optimal expansion planning of 5G and distribution systems considering source-network-load-storage coordination. Applied Energy, 366, 123372, 2024. https://doi.org/10.1016/j.apen....
 
16.
KUNYA A.B., ABUBSKAR A.S., YUSUF S.S. Review of economic dispatch in multi-area power system: State-of-the-art and future prospective. Electric Power Systems Research, 217, 109089, 2023. https://doi.org/10.1016/j.epsr....
 
17.
LI Y., YUAN J., CHEN S., WU Y. Optimal wind power capacity decision consider commitment contracts under uncertain power supply and electricity demand in China. Renewable and Sustainable Energy Reviews, 201, 114629, 2024. https://doi.org/10.1016/j.rser....
 
18.
FAN W., TAN Z., LI F., ZHANG A., JU L., WANG Y., DE G. A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response. Energy, 263, 125783, 2023. https://doi.org/10.1016/j.ener....
 
19.
XIAO M., ZHOU Q., ZHANG Z., YIN J. Real-Time Intrusion Detection in Power Grids Using Deep Learning: Ensuring DPU Data Security. HighTech and Innovation Journal, 5 (3), 814, 2024. https://doi.org/10.28991/HIJ-2....
 
20.
KIM S., CHOI D.G. A sample robust optimal bidding model for a virtual power plant. European Journal of Operational Research, 316 (3), 1101, 2024. https://doi.org/10.1016/j.ejor....
 
21.
ATTARHA A., AMJADY N., CONEJO A.J. Adaptive robust AC optimal power flow considering load and wind power uncertainties. International Journal of Electrical Power & Energy Systems, 96, 132, 2018. https://doi.org/10.1016/j.ijep....
 
22.
ESTEBAN-PEREZ A., MORALES J.M. Distributionally robust optimal power flow with contextual information. European Journal of Operational Research, 306 (3), 1047, 2023. https://doi.org/10.1016/j.ejor....
 
23.
ZHAI J., JIANG Y., LI J., JONES C.N., ZHANG X. Distributed adjustable robust optimal power-gas flow considering wind power uncertainty. International Journal of Electrical Power & Energy Systems, 139, 107963, 2022. https://doi.org/10.1016/j.ijep....
 
24.
ESFAHANI M., ALIZADEH A., AMJADY N., KAMWA I. A distributed VPP-integrated co-optimization framework for energy scheduling, frequency regulation, and voltage support using data-driven distributionally robust optimization with Wasserstein metric. Applied Energy, 361, 122883, 2024. https://doi.org/10.1016/j.apen....
 
25.
LEI C., WANG Q., ZHOU G., BU S., ZHOU N., LIN T., WEI F. Probabilistic wind power expansion planning of bundled wind-thermal generation system with retrofitted coal-fired plants using load transfer optimization. International Journal of Electrical Power & Energy Systems, 151, 109145, 2023. https://doi.org/10.1016/j.ijep....
 
26.
RANABOLDO M., ARAGUES-PENALBA M., ARICA E., BADE A., BULLICH-MASSAGUE E., BURGIO A., CACCAMO C., CAPRARA A., CIMMINO D., DEMONCECH B., DONOSO I., FRAGAPANE G., GONZALEZ-FONT-DE-RUBINAT P., JAHNKE E., JUANPERA M., MANAFI E., ROVEKAMP J., TANI R. A comprehensive overview of industrial demand response status in Europe. Renewable and Sustainable Energy Reviews, 203, 114797, 2024. https://doi.org/10.1016/j.rser....
 
27.
CRUZ-PÉREZ N., RODRÍGUEZ-ALCÁNTARA J.S., KORONAIOU V.L.P., JANČULA A., RODRÍGUEZ-MARTÍN J., GARCÍA-GIL A., FONTES J.C., SANTAMARTA J.C. SWOT Analysis of the Benefits of Hydropower Energy in Four Archipelagos. Civil Engineering Journal, 10 (7), 2370, 2024. https://doi.org/10.28991/CEJ-2....
 
28.
SILVA-RODRIGUEZ L., SANJAB A., FUMAGALLI E., VIRAG A., GIBESCU M. A light robust optimization approach for uncertainty-based day-ahead electricity markets. Electric Power Systems Research, 212, 108281, 2022. https://doi.org/10.1016/j.epsr....
 
29.
SHAME B.H., TJAHJANA D.D.D.P., AZIZ M., MBUMBA M.T. Analysis of Seasonal Wind Energy Potential on Zanzibar Coastal Island. HighTech and Innovation Journal, 5 (2), 331, 2024. https://doi.org/10.28991/HIJ-2....
 
30.
LIU G., DOU D., WANG Y., LI X., GAO Z., LV H. Multi-scenario flexibility requirement analysis of high proportion of new energy access to power system. Clean Energy, 8 (6), 187, 2024. https://doi.org/10.1093/ce/zka....
 
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ISSN:1230-1485
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