MULTI TIME SCALE POWER AND ELECTRICITY BALANCE FOR PROVINCIAL-LEVEL POWER GRID MAINLY CONSISTING OF CASCADED HYDROPOWER STATIONS WITH PUMPED STORAGE

Ge Pengjiang; Ke Xianbo; Li Haibo; Lyu Jinli; Zhang Dehai

doi:10.19912/j.0254-0096.tynxb.2024-1738

PDF(1946 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 676-687. DOI: 10.19912/j.0254-0096.tynxb.2024-1738

MULTI TIME SCALE POWER AND ELECTRICITY BALANCE FOR PROVINCIAL-LEVEL POWER GRID MAINLY CONSISTING OF CASCADED HYDROPOWER STATIONS WITH PUMPED STORAGE

Ge Pengjiang¹, Ke Xianbo¹, Li Haibo², Lyu Jinli¹, Zhang Dehai²

Author information +

History +

Abstract

Addressing the multi-time scale coupling issues in power and energy balance systems involving pumped storage and cascade hydropower stations, this study focuses on provincial power grids dominated by multi-basin cascade hydropower systems to explore supply-demand balance challenges across different temporal scales. Firstly, the characteristics of the provincial power grid mainly consisting of multi basin cascade hydropower stations with pumped storage and the bidirectional coupling relationship of different time scales were analyzed, and a robust optimization method based on confidence intervals was determined; Secondly, a power and electricity balance model was established at different time scales of year, week, and day; Finally, simulation calculations were conducted based on the planning and construction of a provincial power grid in 2030, and results under different scenarios were analyzed. The simulation results show that the power and electricity balance method proposed in this paper can balance various indicators of different time scale plans and ensure both weekly and daily peak shaving needs while formulating annual plans. Pumped storage power stations can play a role in various situations considering different water and load conditions. They can not only transfer electricity during wet years, but also use large storage capacity to operate in a conventional hydroelectric manner to absorb and replenish water, and provide high-quality rotating backup power for the system.

Key words

power and electricity balance / pumped storage power plants / cascaded hydropower / multi time scale / provincial-level power grid / inter-seasonal adjustment

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Ge Pengjiang, Ke Xianbo, Li Haibo, Lyu Jinli, Zhang Dehai. MULTI TIME SCALE POWER AND ELECTRICITY BALANCE FOR PROVINCIAL-LEVEL POWER GRID MAINLY CONSISTING OF CASCADED HYDROPOWER STATIONS WITH PUMPED STORAGE[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 676-687 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1738

References

[1] 郭红霞, 邹桂林, 王子强, 等. 基于两阶段聚类和MCMC算法的风光出力序列建模方法[J]. 太阳能学报,2025, 46(1): 491-502.
GUO H X, ZOU G L, WANG Z Q, et al.A modeling method for wind and solar power series based on a two-stage clustering and MCMC algorithm[J]. Acta energiae solaris sinica, 2025, 46(1): 491-502.
[2] 孙英聪, 陈来军, 李笑竹, 等. 考虑资源相关性的新能源场站群集中式共享储能优化配置[J]. 太阳能学报,2024, 45(7): 2-9.
SUN Y C, CHEN L J, LI X Z, et al.Optimal allocation of centralized shared energy storage for renewable energy station clusters with consideration of resource correlation[J]. Acta energiae solaris sinica, 2024, 45(7): 2-9.
[3] 张成, 夏沛, 张晓星. 基于多属性决策理论的抽蓄电站容量规划综合决策方法研究[J]. 太阳能学报, 2024, 45(9): 639-646.
ZHANG C, XIA P, ZHANG X X.Research on comprehensive decision-making method for capacity planning of pumped storage power stations based on multi-attribute decision-making theory[J]. Acta energiae solaris sinica, 2024, 45(9): 639-646.
[4] 陈刚, 丁理杰, 韩晓言, 等. 抽水蓄能在四川电网的应用前景展望[J]. 四川电力技术, 2022, 45(2): 1-6, 37.
CHEN G, DING L J, HAN X Y, et al.Investigation into application prospects of pumped storage in Sichuan power grid[J]. Sichuan electric power technology, 2022, 45(2): 1-6, 37.
[5] 任在民, 彭飞, 刘展志, 等. 青海省抽水蓄能电站与梯级水库储能电站对比分析[J]. 人民黄河, 2022, 44(增刊2): 195-198.
REN Z M, PENG F, LIU Z Z, et al.Comparative analysis of pumped storage power stations and cascade reservoirs storage power stations in Qinghai Province[J]. Yellow river, 2022, 44(S2): 195-198.
[6] 黄宁馨, 程兰芬, 禤培正, 等. 多主体梯级水电参与日前市场的联盟竞价策略与收益分配[J]. 电网与清洁能源, 2022, 38(10): 158-166.
HUANG N X, CHENG L F, XUAN P Z, et al.Alliance bidding strategy and benefit distribution of multi-operator cascade hydropower participating in day-ahead market[J]. Power system and clean energy, 2022, 38(10): 158-166.
[7] 胡人川, 刘俊勇, 刘友波, 等. 促进新能源外送的梯级水电-风电联盟备用效益均衡模型[J]. 电网与清洁能源, 2023, 39(2): 103-113.
HU R C, LIU J Y, LIU Y B, et al.A cascade hydropower-wind power alliance backup benefit equilibrium model to promote new energy transmission[J]. Advances of power system & hydroelectric engineering, 2023, 39(2): 103-113.
[8] 黄景光, 黄静梅, 吴巍, 等. 含混合式抽水蓄能电站的梯级水电站优化调度[J]. 水电能源科学, 2020, 38(5):76-80.
HUANG J G, HUANG J M, WU W, et al.Optimal dispatching of cascade hydropower station with mixed pumping storage power station[J]. Water resources and power, 2020, 38(5): 76-80.
[9] 黄静梅, 黄景光, 吴巍. 含混合式抽蓄电站的梯级水电站效益问题研究[J]. 智慧电力, 2022, 50(1): 75-81.
HUANG J M, HUANG J G, WU W.Benefits of cascade hydropower stations with hybrid pumped-storage power stations[J]. Smart power, 2022, 50(1): 75-81.
[10] 李咸善, 杨拯, 李飞, 等. 基于梯级水电调节的风光水联盟与区域电网联合运行优化调度策略[J]. 中国电机工程学报, 2023, 43(6): 2234-2247.
LI X S, YANG Z, LI F, et al.Optimization scheduling strategy for joint operation of wind-solar-water power alliance and regional power grid based on cascade hydropower regulation[J]. Proceedings of the CSEE, 2023, 43(6): 2234-2247.
[11] 陈爱康, 胡静哲, 陆轶祺, 等. 梯级水光蓄系统规划关联模型的建模[J]. 中国电机工程学报, 2020, 40(4):1106-1116, 7.
CHEN A K, HU J Z, LU Y Q, et al.Research on correlation model of cascade hydro-photovoltaic-pumped storage hybrid generation planning[J]. Proceedings of the CSEE, 2020, 40(4):1106-1116, 7.
[12] 李飞, 李咸善, 李振兴, 等. 基于梯级水电调节的多能联合发电系统短期优化调度[J]. 电力系统保护与控制, 2022, 50(15): 11-20.
LI F, LI X S, LI Z X, et al.Short-term optimal scheduling of multi-energy combined generation systems based on the regulation of cascade hydropower stations[J]. Power system protection and control, 2022, 50(15): 11-20.
[13] 钟儒鸿, 程春田, 廖胜利, 等. 兼顾多电网调峰与水电消纳的跨流域梯级水电站调度方法[J]. 电力系统自动化, 2021, 45(14): 114-122.
ZHONG R H, CHENG C T, LIAO S L, et al.Inter-basin scheduling method of cascaded hydropower plants considering multi-grid peak shaving and hydropower accommodation[J]. Automation of electric power systems, 2021, 45(14): 114-122.
[14] 鲁宗相, 林弋莎, 乔颖, 等. 极高比例可再生能源电力系统的灵活性供需平衡[J]. 电力系统自动化, 2022, 46(16): 3-16.
LU Z X, LIN Y S, QIAO Y, et al.Flexibility supply-demand balance in power system with ultra-high proportion of renewable energy[J]. Automation of electric power systems, 2022, 46(16): 3-16.
[15] 林弋莎, 孙荣富, 鲁宗相, 等. 考虑中长期电量不确定性的可再生能源系统嵌套运行优化[J]. 电网技术, 2020, 44(9): 3272-3280.
LIN Y S, SUN R F, LU Z X, et al.Medium-and long-term nested scheduling for renewable energy system considering electricity uncertainty[J]. Power system technology, 2020, 44(9): 3272-3280.
[16] 王学斌. 考虑大规模新能源并网的黄河上游水电站群多尺度调度研究[D]. 西安: 西安理工大学, 2019.
WANG X B.Study on multi-scale operation of hydropower stations in the upper reaches of the Yellow River considering large-scale new energy grid connection[D]. Xi’an: Xi’an University of Technology, 2019.
[17] 刘映尚, 马骞, 王子强, 等. 新型电力系统电力电量平衡调度问题的思考[J]. 中国电机工程学报, 2023, 43(5): 1694-1705.
LIU Y S, MA Q, WANG Z Q, et al.Cogitation on power and electricity balance dispatching in new power system[J]. Proceedings of the CSEE, 2023, 43(5): 1694-1705.
[18] 周晨瑞, 盛光宗, 李升. 考虑电动汽车接入的微电网多目标优化调度[J]. 电气工程学报, 2023, 18(1): 211-218.
ZHOU C R, SHENG G Z, LI S.Multi-objective optimal dispatching of microgrid considering electric vehicle Integration[J]. Journal of electrical engineering, 2023, 18(1): 211-218.
[19] 杨明杰, 胡扬宇, 千海霞, 等. 计及碳排放的综合能源配网日前与日内多时间尺度优化调度[J]. 电力系统保护与控制, 2023, 51(5): 96-106.
YANG M J, HU Y Y, QIAN H X, et al.Optimization of day-ahead and intra-day multi-time scale scheduling for integrated power-gas energy system considering carbon emission[J]. Power system protection and control, 2023, 51(5): 96-106.
[20] 韩子娇,那广宇,董鹤楠,等.考虑灵活性供需平衡的含电转氢综合能源系统鲁棒优化调度[J].电力系统保护与控制,2023,51(6):161-169.
HAN Z J, NA G Y, DONG H N, et al. Robust optimal operation of integrated energy system with P2H considering flexibility balance, 2023, 51(6):161-169.
[21] 张兴平, 何澍, 王泽嘉, 等. 不同新能源渗透率下燃煤机组行为策略分析[J]. 电力建设, 2022, 43(5): 9-17.
ZHANG X P, HE S, WANG Z J, et al.Behavior strategy of coal-fired units under different new energy penetration rate[J]. Electric power construction, 2022, 43(5): 9-17.