Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction

doi:10.11930/j.issn.1004-9649.202305047

Abstract

Abstract:

Considering the uncertainty of new energy and the carbon emissions of users, a multi-objective capacity determination optimization method for energy storage of smelting enterprises considering economy and cleanliness is proposed. A two-layer energy storage optimization model is established, in which the upper layer model optimizes the energy storage configuration for large users in smelting industry who have installed or plan to install new energy power generation, and the lower layer model optimizes the timing output of energy storage. Firstly, based on the charging and discharging characteristics of wind, photovoltaic and storage, a random uncertainty model of wind and photovoltaic output and a charging and discharging model of energy storage are constructed respectively. Then, a carbon emission accounting model of smelting industry is established to calculate the total carbon emissions and carbon emissions generated by power consumption according to the user output and power load, and the corresponding carbon reduction strategy is given. And then, based on the cost of potential carbon emissions, the maximum economic benefits and minimum cost and total carbon emissions are set as multi-objectives, and the optimal energy storage capacity of enterprises is obtained under the constraints of system safe operation. Finally, taking a copper smelting enterprise as an example, the proposed method is used to optimize the energy storage capacity under the access of wind and photovoltaic with ladder capacity. The simulation results have verified the effectiveness of the proposed method.

Key words: new energy uncertainty, carbon emissions, energy storage configuration, multi-target capacity determination, timing optimization

Wenguang ZHU, Wei WANG, Bin OUYANG, Hua ZHANG, Xin WANG, Rui MA. Multi-objective Cooperative Capacity Determination Method for Integrated System of Wind, Photovoltaic and Storage of Smelting Enterprises Requiring Energy Saving and Carbon Reduction[J]. Electric Power, 2023, 56(11): 86-94.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202305047

https://www.electricpower.com.cn/EN/Y2023/V56/I11/86

Figures/Tables 9

References 25

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容量/ (MW·h)		功率/ MW		储能成本/万元		经济效益/ (万元·月^–1)		成本回收年限/年
31.90		15.95		6308.5		73.84		7.12

容量/ (MW·h)		功率/ MW		储能成本/万元		经济效益/ (万元·月^–1)		成本回收年限/年
31.90		15.95		6308.5		73.84		7.12

场景	风电渗透率	光伏渗透率	储能功率/MW	储能容量/ (MW·h)	预计回收年限/年	碳排放量/t	碳减排收益/元
1	0.070	0.151	15.39	30.78	7.11	2691.1	1 984
2	0.057	0.149	16.35	32.70	7.43	2739.8	1 857
3	0.056	0.139	12.20	24.40	6.06	2778.6	1755
4	0.060	0.136	13.10	26.20	6.55	2776.3	1761
5	0.068	0.132	18.80	37.60	8.33	2761.3	1800
6	0.058	0.15	16.22	32.44	6.88	2732.7	1 875
7	0.069	0.147	14.76	29.52	7.58	2707.9	1 940
8	0.063	0.150	20.32	40.64	7.50	2716.9	1 916
9	0.057	0.137	16.48	32.96	6.61	2781.8	1746
10	0.066	0.138	18.77	37.54	6.63	2747.2	1 837

场景	风电渗透率	光伏渗透率	储能功率/MW	储能容量/ (MW·h)	预计回收年限/年	碳排放量/t	碳减排收益/元
1	0.070	0.151	15.39	30.78	7.11	2691.1	1 984
2	0.057	0.149	16.35	32.70	7.43	2739.8	1 857
3	0.056	0.139	12.20	24.40	6.06	2778.6	1755
4	0.060	0.136	13.10	26.20	6.55	2776.3	1761
5	0.068	0.132	18.80	37.60	8.33	2761.3	1800
6	0.058	0.15	16.22	32.44	6.88	2732.7	1 875
7	0.069	0.147	14.76	29.52	7.58	2707.9	1 940
8	0.063	0.150	20.32	40.64	7.50	2716.9	1 916
9	0.057	0.137	16.48	32.96	6.61	2781.8	1746
10	0.066	0.138	18.77	37.54	6.63	2747.2	1 837

光伏额定功率/ MW	年发电量/ (亿kW·h)	储能容量/ (MW·h)	储能功率/ MW	聚合容量/ (MW·h)	回收年限/ 年	消纳率/%	碳减排/万t
120	2.798	24~40	12~20	34.07	6.82	100	27.97
130	3.093	30~40	15~20	34.71	6.84	100	29.69
140	3.344	36~54	18~27	48.05	7.44	100	32.11
150	3.468	26~60	23~30	51.64	7.71	100	33.30
160	3.645	54~74	27~37	61.98	8.43	100	34.99
170	3.822	82~92	41~46	83.35	11.21	100	36.70
180	4.024	86~100	43~50	88.21	11.30	97.3	37.83