MULTI-TIME-SCALE DYNAMIC DISPATCH OPTIMIZATION STRATEGY FOR CSP-PV HYBRID POWER PLANTS CONSIDERING PEAK REGULATION

Hu Bangjie, Wang Liang, Yang Shitao, Cheng Shi, Wang Pei

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 165-172.

PDF(1173 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(1173 KB)
Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 165-172. DOI: 10.19912/j.0254-0096.tynxb.2024-1772

MULTI-TIME-SCALE DYNAMIC DISPATCH OPTIMIZATION STRATEGY FOR CSP-PV HYBRID POWER PLANTS CONSIDERING PEAK REGULATION

  • Hu Bangjie1, Wang Liang2, Yang Shitao3, Cheng Shi4, Wang Pei1
Author information +
History +

Abstract

Concentrating solar power (CSP) generation, which encompasses both energy storage and power generation capabilities, has emerged as a grid-friendly renewable energy technology and has become a standard configuration within wind and solar power bases. To further enhance the profitability and consumption of CSP-PV operators, this paper primarily focuses on the impact of the startup and dynamic switching conditions of subsystems such as receiver, heat storage, power generation, and electric heater using molten salt on the performance of CSP-PV hybrid power plants. Aiming to optimize the income generated by the hybrid plant, a multi-time-scale dynamic optimization output model is established. This model also incorporates the power system’s optimal scheduling for day-ahead and intra-day, and the optimized output is then used as the declared power output curve. An optimal scheduling model, aimed at reducing the comprehensive operating costs of the power system, has been established. Finally, the measured data of a power system in a certain region of Northwest China is taken as an example for analysis. The case analysis shows that compared to traditional scheduling strategies and profit-maximization strategies, this peak regulation-oriented strategy increases the total power plant revenue by 13.48% and 6.67% respectively, while reducing the curtailment rates of wind and solar power in the power system by 1.39% and 0.5% respectively.

Key words

solar thermal power generation / scheduling / energy consumption / CSP-PV hybrid system / peak regulation / multi-time-scale

Cite this article

Download Citations
Hu Bangjie, Wang Liang, Yang Shitao, Cheng Shi, Wang Pei. MULTI-TIME-SCALE DYNAMIC DISPATCH OPTIMIZATION STRATEGY FOR CSP-PV HYBRID POWER PLANTS CONSIDERING PEAK REGULATION[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 165-172 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1772

References

[1] 董海鹰, 张宏, 陈钊, 等. 光热-光伏联合发电系统无功分层协调优化控制策略研究[J]. 太阳能学报, 2021, 42(6): 162-169.
DONG H Y, ZHANG H, CHEN Z, et al.Research on reactive stratification coordination optimization control strategy of CSP-PV hybrid system[J]. Acta energiae solaris sinica, 2021, 42(6): 162-169.
[2] 王志峰, 何雅玲, 康重庆, 等. 明确太阳能热发电战略定位促进技术发展[J]. 华电技术, 2021, 43(11): 1-4.
WANG Z F, HE Y L, KANG C Q, et al.Strategic positioning of solar thermal power generation to promote technological progress[J]. Huadian technology, 2021, 43(11): 1-4.
[3] 刘树桦, 王建学, 秦绪武, 等. 基于个体优化和系统多能互补的光热电站优化配置方法[J]. 电网技术, 2020, 44(7): 2503-2512.
LIU S H, WANG J X, QIN X W, et al.Research on optimal configuration of concentrating solar power based on individual optimization and multi-energy complementary[J]. Power system technology, 2020, 44(7): 2503-2512.
[4] 熊伟, 马志程, 张晓英, 等. 计及风、光消纳的风电-光伏-光热互补发电二层优化调度[J]. 太阳能学报, 2022, 43(7): 39-48.
XIONG W, MA Z C, ZHANG X Y, et al.Two-layer optimal dispatch of WF-PV-CSP hybrid power generation considering wind power and photovoltaic consumption[J]. Acta energiae solaris sinica, 2022, 43(7): 39-48.
[5] 杨明也, 唐美玲, 关多娇, 等. 300 MW太阳能辅助发电系统经济性研究[J]. 太阳能学报, 2021, 42(9): 140-144.
YANG M Y, TANG M L, GUAN D J, et al.Economic study on 300 MW solar auxiliary power generation system[J]. Acta energiae solaris sinica, 2021, 42(9): 140-144.
[6] 王湘艳, 陈宁, 王维洲, 等. 计及置信容量的光热电站储热容量优化配置[J]. 电力工程技术, 2022, 41(5): 103-109, 115.
WANG X Y, CHEN N, WANG W Z, et al.Optimal design for thermal energy storage capacity of CSP considering credible capacity[J]. Electric power engineering technology, 2022, 41(5): 103-109, 115.
[7] 韦子瑜, 赵书强, 方宇晨. 平抑风光联合系统短期出力波动的光热电站储热系统优化运行策略[J]. 电网技术, 2021, 45(3): 881-892.
WEI Z Y, ZHAO S Q, FANG Y C.Optimal operation strategy of thermal energy storage system within CSP to suppress short-term fluctuation of wind-CSP hybrid power generation system[J]. Power system technology, 2021, 45(3): 881-892.
[8] WANG P, HU B J, TAI N L, et al.Peak shaving auxiliary service analysis for the photovoltaic and concentrating solar power hybrid system under the planning-dispatch optimization framework[J]. Energy conversion and management, 2023, 295: 117609.
[9] 肖白, 王涛. 太阳能光伏-光热联合发电的优化运行模型[J]. 现代电力, 2020, 37(2): 163-170.
XIAO B, WANG T.Optimal coordinated operation model considering photovoltaic power and concentrating solar power[J]. Modern electric power, 2020, 37(2): 163-170.
[10] HAMILTON W T, HUSTED M A, NEWMAN A M, et al.Dispatch optimization of concentrating solar power with utility-scale photovoltaics[J]. Optimization and engineering, 2020, 21(1): 335-369.
[11] ZHAI R R, LIU H T, CHEN Y, et al.The daily and annual technical-economic analysis of the thermal storage PV-CSP system in two dispatch strategies[J]. Energy conversion and management, 2017, 154: 56-67.
[12] GIACONIA A, GRENA R.A model of integration between PV and thermal CSP technologies[J]. Solar energy, 2021, 224: 149-159.
[13] 孙骁强, 杨楠, 李庆海, 等. 基于“双碳” 目标的光热电站调峰能力规划研究[J]. 电网技术, 2023, 47(1): 73-83.
SUN X Q, YANG N, LI Q H, et al.Peak shaving capacity planning of solar thermal power stations based on “emission peak and carbon neutrality” target[J]. Power system technology, 2023, 47(1): 73-83.
[14] 崔杨, 于世鹏, 王学斌, 等. 考虑系统调峰需求与光热电站收益平衡的储热容量优化配置[J]. 中国电机工程学报, 2023, 43(22): 8745-8757.
CUI Y, YU S P, WANG X B, et al.Optimal configuration of heat storage capacity considering the balance between system peak shaving demand and concentrating solar power plant revenue[J]. Proceedings of the CSEE, 2023, 43(22): 8745-8757.
[15] 郭慧, 马志程, 王秀丽, 等. 促进新能源消纳的光热电站现货交易模式及竞价策略[J]. 电力自动化设备, 2023, 43(5): 104-112.
GUO H, MA Z C, WANG X L, et al.Spot trading mode and bidding strategy of solar power station for promoting renewable energy consumption[J]. Electric power automation equipment, 2023, 43(5): 104-112.
[16] 张尧翔, 刘文颖, 李潇, 等. 高比例新能源接入电网光热发电-火电联合调峰优化控制方法[J]. 电力自动化设备, 2021, 41(4): 1-7, 32.
ZHANG Y X, LIU W Y, LI X, et al.Optimal control method of peak load regulation combined concentrating solar power and thermal power for power grid accessed with high proportion of renewable energy[J]. Electric power automation equipment, 2021, 41(4): 1-7, 32.
[17] HESS D.The value of a dispatchable concentrating solar power transfer from Middle East and North Africa to Europe via point-to-point high voltage direct current lines[J]. Applied energy, 2018, 221: 605-645.
[18] 崔杨, 程广岩, 仲悟之, 等. 计及受端电网调峰趋势的风-光-火特高压直流外送调度方法[J]. 太阳能学报, 2021, 42(8): 32-40.
CUI Y, CHENG G Y, ZHONG W Z, et al.Wind-photovoltaic-fire UHVDC external dispatching method considering peaking trend of power grid[J]. Acta energiae solaris sinica, 2021, 42(8): 32-40.
[19] ZHAI J Y, ZHOU M, LI J N, et al.Decentralised and distributed day-ahead robust scheduling frameworks for bulk AC/DC hybrid interconnected systems with a high share of wind power[J]. Electric power systems research, 2021, 201: 107492.
[20] 崔杨, 李崇钢, 赵钰婷, 等. 考虑风-光-光热联合直流外送的源-网-荷多时段优化调度方法[J]. 中国电机工程学报, 2022, 42(2): 559-573.
CUI Y, LI C G, ZHAO Y T, et al.Source-grid-load multi-time interval optimization scheduling method considering wind-photovoltaic-photothermal combined DC transmission[J]. Proceedings of the CSEE, 2022, 42(2): 559-573.
PDF(1173 KB)

Accesses

Citation

Detail

Sections
Recommended

/