面向节能降碳的冶炼企业风光储多目标协同定容方法

doi:10.11930/j.issn.1004-9649.202305047

中国电力 ›› 2023, Vol. 56 ›› Issue (11): 86-94.DOI: 10.11930/j.issn.1004-9649.202305047

• 新型电力系统低碳规划与运行 • 上一篇下一篇

面向节能降碳的冶炼企业风光储多目标协同定容方法

朱文广¹(), 王伟¹(), 欧阳斌²(), 张华¹, 王欣¹, 马瑞²()

1. 国网江西省电力有限公司经济技术研究院，江西南昌　330043
2. 长沙理工大学电气与信息工程学院，湖南长沙　410114

收稿日期:2023-05-10 出版日期:2023-11-28 发布日期:2023-11-28
作者简介:朱文广（1972—），男，高级工程师，从事电网规划研究，E-mail： jxnczwg@163.com
王伟（1989—），男，高级工程师，从事电网规划研究，E-mail： 297128073@qq.com
欧阳斌（1999—），男，硕士研究生，从事新能源及储能运行规划研究，E-mail： ouyangbin0718@163.com
马瑞（1971—），男，通信作者，博士，教授，从事电力系统分析与控制、能源互联网和电力大数据挖掘等研究，E-mail： marui818@ 126.com
基金资助:
国家自然科学基金资助项目（51977012）；国网江西省电力公司科技项目（521825220001）。

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

Wenguang ZHU¹(), Wei WANG¹(), Bin OUYANG²(), Hua ZHANG¹, Xin WANG¹, Rui MA²()

1. Economic and Technological Research Institute, State Grid Jiangxi Electric Power Co., Ltd., Nanchang 330043, China
2. College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China

Received:2023-05-10 Online:2023-11-28 Published:2023-11-28
Supported by:
This work is supported by National Natural Science Foundation of China (No.51977012) and Science & Technology Project of State Grid Jiangxi Electric Power Company (No.521825220001).

摘要/Abstract

摘要：

在考虑新能源不确定性和用户碳排放的基础上，提出一种考虑经济、清洁的冶炼企业储能多目标定容优化方法，建立储能双层优化模型，上层模型对已经或计划安装新能源的冶炼工业大用户进行储能配置优化，下层模型对储能时序出力进行优化。首先，基于风、光、储三者的充、放电特性，分别构建风、光出力的随机不确定模型和储能充放电模型；其次，建立冶炼行业碳排放核算模型，根据用户产量、电力负荷情况计算碳排总量及电力消耗产生的碳排量，给出对应的减碳策略；然后，基于潜在的碳排放成本，制定以经济效益最大、成本及碳排放总量最小为多目标，考虑系统安全运行约束下的企业储能最优容量；最后，以某炼铜企业为例，采用所提方法优化阶梯容量的风、光新能源接入下的储能容量，仿真结果验证了所提方法的有效性。

关键词: 新能源不确定性, 碳排放, 储能配置, 多目标定容优化, 时序优化

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

朱文广, 王伟, 欧阳斌, 张华, 王欣, 马瑞. 面向节能降碳的冶炼企业风光储多目标协同定容方法[J]. 中国电力, 2023, 56(11): 86-94.

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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图/表 9

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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

面向节能降碳的冶炼企业风光储多目标协同定容方法

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

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参考文献 25

相关文章 15

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Metrics

场景	储能容量/ (MW·h)	储能功率/ MW	成本回收年限/年	新能源消纳率/%
1）	68.54	34.27	7.64	100
2）	61.62	30.81	8.18	100

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面向节能降碳的冶炼企业风光储多目标协同定容方法

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

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