Capacity-operation collaborative optimization of the system integrated with wind power/photovoltaic/concentrating solar power with S-CO2 Brayton cycle

  • Yangdi Hu ,
  • Rongrong Zhai ,
  • Lintong Liu
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  • School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
Rongrong Zhai, zhairongrong01@163.com

Received date: 21 Apr 2023

Accepted date: 13 Oct 2023

Copyright

2024 Higher Education Press

Abstract

This paper proposes a new power generating system that combines wind power (WP), photovoltaic (PV), trough concentrating solar power (CSP) with a supercritical carbon dioxide (S-CO2) Brayton power cycle, a thermal energy storage (TES), and an electric heater (EH) subsystem. The wind power/photovoltaic/concentrating solar power (WP−PV−CSP) with the S-CO2 Brayton cycle system is powered by renewable energy. Then, it constructs a bi-level capacity-operation collaborative optimization model and proposes a non-dominated sorting genetic algorithm-II (NSGA-II) nested linear programming (LP) algorithm to solve this optimization problem, aiming to obtain a set of optimal capacity configurations that balance carbon emissions, economics, and operation scheduling. Afterwards, using Zhangbei area, a place in China which has significant wind and solar energy resources as a practical application case, it utilizes a bi-level optimization model to improve the capacity and annual load scheduling of the system. Finally, it establishes three reference systems to compare the annual operating characteristics of the WP−PV−CSP (S-CO2) system, highlighting the benefits of adopting the S-CO2 Brayton cycle and equipping the system with EH. After capacity-operation collaborative optimization, the levelized cost of energy (LCOE) and carbon emissions of the WP−PV−CSP (S-CO2) system are decreased by 3.43% and 92.13%, respectively, compared to the reference system without optimization.

Cite this article

Yangdi Hu , Rongrong Zhai , Lintong Liu . Capacity-operation collaborative optimization of the system integrated with wind power/photovoltaic/concentrating solar power with S-CO2 Brayton cycle[J]. Frontiers in Energy, . DOI: 10.1007/s11708-024-0922-z

Acknowledgements

This work was supported by the Major Program of the National Natural Science Foundation of China (Grant No. 52090060).

Competing interests

The authors declare that they have no competing interests.

Notations

Abbreviations
CSP Concentrating solar power
EH Electric heater
HT Hot tank
PV Photovoltaic
S-CO2 Supercritical carbon dioxide
SF Solar field
TES Thermal energy storage
WP Wind power
WT Wind turbine
Variables
A Area/m2
B Coal consumption/t
C Capacity/MW
DNI Direct solar irradiation/(W·m−2)
GI Global irradiance/(W·m−2)
h Height/m
IC Investment costs/$
LCOE Levelized cost of electricity/($·kWh−1)
m Mass flow rate/(kg·s−1)
P Power/MW
Q Quantity of heat/MW
T Temperature/°C
v Wind speed/(m·s−1)
W Work/MW
η Efficiency
Subscripts
a Ambient
ab Abandoned
C Compressor
c Charge
d Discharge
HE Heat exchanger
INV Inverterin input
NOM Normal
O&M Operation and maintenance
out Output
ref Reference
s Standard
T Turbine
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