Research on optimal scheduling strategy of wind-photovoltaic-thermal-storage integrated energy system based on IBES

doi:10.3969/j.issn.2097-0706.2025.08.008

Abstract

Abstract:

The study aims to accurately and efficiently achieve the most cost-effective integration of renewable energy and the optimal output of thermal power units in the wind-photovoltaic-thermal-storage integrated energy system， while exploring the impact of renewable energy integration policies on coal-fired power plants and the overall system. Based on fuzzy chance-constrained programming and the improved bald eagle search （IBES） algorithm， a hierarchical optimal scheduling model for the wind-photovoltaic-thermal-storage system was constructed， incorporating plant-level optimal allocation of thermal power units. Taking a representative energy base as an example， the scheduling scenarios under constraints of different renewable energy curtailment rates were simulated， and performance differences under a unified unit operation strategy were compared. The results showed that when the wind and photovoltaic curtailment rate was extended to 10%， the net load square deviation of thermal power units decreased by 24.04% compared to the 5% constraint， the daily total revenue of thermal power increased by 2.48%， and the total system revenue increment reached 343 400 yuan-1.82 times that under the 5% renewable curtailment rate-significantly outperforming the full wind and photovoltaic integration model. Additionally， the number of deep peak-shaving operations of thermal power units was reduced， significantly alleviating operational stress and improving both operational safety and economic efficiency. The proposed model can effectively achieve multi-objective optimal allocation of output among power generation units. Under the policy guidance of maintaining renewable energy utilization rate of no less than 90%， appropriately relaxing the wind and photovoltaic curtailment rate can significantly improve the economic benefits of energy base and system operational flexibility， providing technical support and empirical evidence for the implementation of related policies.

Key words: wind-photovoltaic-thermal-storage integrated energy system, renewable energy consumption, fuzzy chance-constrained, improved bald eagle search algorithm, hierarchical optimal scheduling, wind and photovoltaic curtailment rate

CLC Number:

TK01：TM73

TAN Jiaqun, LYU Ruxuan, JU Hongjin, HONG Chunxue, XIAO Haiping, LEI Jing, HAN Zhenxing. Research on optimal scheduling strategy of wind-photovoltaic-thermal-storage integrated energy system based on IBES[J]. Integrated Intelligent Energy, 2025, 47(8): 68-76.

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机组	出力上、下限/MW	爬坡速率/ （MW·min^-1）			燃料成本系数
机组	出力上、下限/MW	R₁	R₂	R₃	a_i/10^-5	b_i	c_i
^#1	660/198	13.2	19.8	33.0	0.631	0.272	12.680
^#2	660/198	13.2	19.8	33.0	0.644	0.274	11.710
^#3-^#10	600/180	7.2	9.6	12.0	1.690	0.276	11.462

模型	系统总收益增量/万元	火电总收益/万元	火电成本/万元	火电收入/万元	净负荷平方差/MW²	风光弃能量/MW
1	34.34	1 076.84	1 404.67	2 481.51	78 382.70	2 859.55
2	18.87	1 050.79	1 388.96	2 439.75	103 188.66	1 478.90
3	0	1 021.89	1 373.30	2 395.19	140 193.85	0.00