Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources

doi:10.16183/j.cnki.jsjtu.2023.457

Abstract

Abstract:

Under the “carbon peaking and carbon neutrality” strategy, the penetration ratio of renewable energy is increasing, while the lack of flexible resources becomes a growing challenge. To address this and build a safe, efficient, low-carbon, and clean energy system, an integrated energy system (IES) optimization allocation method is proposed considering the joint operation of multiple flexibility resources. First, the modeling of the two stages of the power-to-gas equipment is refined, with the introducation of the coordinated operation of the hydrogen-doped gas turbine and the power-to-gas equipment to make full use of the low-carbon characteristics of H₂. Carbon raw materials are provided for the power-to-gas facilities through carbon capture equipment realizing the recycling of CO₂, thereby establishing a coordinated operation framework for flexible resource with hydrogen energy as the core. Then, aimed at the uncertainty of renewable energy output, the optimal clustering number is determined by Elbow method, and typical wind speed scenarios are obtained by K-means clustering algorithm. On this basis, an optimal allocation model is established with the objective of minimizing the sum of investment cost, operation and maintenance cost, replacement cost, environmental penalty, and wind abandonment penalty cost, taking into account equipment constraints, energy balance constraints, and flexibility constraints. To solve the nonlinearity, the large M method is adopted to linearize the model and complete the model solution. Finally, the method proposed is validated through an example based on measured data from a region in southwest China. The results show that the total cost of the IES is reduced by 10.22%, the penetration rate of new energy is increased by 6.01%, and the cost of environmental penalties is reduced by 2.65%. The proposed method effectively improves the economy of the system and the consumption of new energy, and significantly reduces system carbon emissions.

Key words: flexibility resources, integrated energy system (IES), optimal configuration, hydrogen energy, uncertainty

CLC Number:

TM732

DENG Qianwen, LI Qi, QIU Yibin, LI Doumeng, HUO Shasha, CHEN Weirong. Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources[J]. Journal of Shanghai Jiao Tong University, 2025, 59(7): 912-922.

Figures/Tables 9

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方案	风电不确定性	CCS与 P2G联合	P2G向掺氢 GT提供H₂	P2G向掺氢 GT提供天然气
1	否	是	是	是
2	是	否	否	是
3	是	是	否	是
4	是	是	是	是

方案	容量							新能源渗透率/%
方案	风电机组/MW	掺氢燃气轮机/MW	碳捕集设备/MW	储碳罐/ (kN·m³)	电解槽/MW	甲烷化设备/MW	储氢罐/ (kN·m³)	新能源渗透率/%
1	150.00	127.24	1.39	12.61	82.77	15.56	76.28	34.46
2	107.88	106, 51	2.24	0	77.70	13.57	41.08	46.62
3	116.97	80.27	1.60	15.99	75.80	16.55	68.44	48.84
4	125.93	82.16	1.76	15.56	88.69	15.56	59.52	49.42

方案	投资成本/ 万元	运维成本/ 万元	置换成本/ 万元	环境惩罚/ 万元	弃风惩罚/ 万元	综合成本/ 万元	风电机组年发电/GW	天然气年购买量/ (MN·m³)	CO₂年排放量/ (MN·m³)
1	19316	4176	11636	15446	206	50780	260.93	610.54	257.44
2	14569	3254	12443	8289	207	38762	332.59	589.19	207.22
3	15374	3298	9253	7632	403	35962	357.72	591.04	190.79
4	16164	3481	6704	8069	384	34802	386.12	593.92	201.73