协调分布式发电商与负荷用户利益的综合能源站的优化运行

doi:10.11930/j.issn.1004-9649.202503005

中国电力 ›› 2025, Vol. 58 ›› Issue (12): 128-136.DOI: 10.11930/j.issn.1004-9649.202503005

• 新型电网 • 上一篇

协调分布式发电商与负荷用户利益的综合能源站的优化运行

贾东梨¹(), 任昭颖¹(), 刘科研¹(), 汪泽州², 谢益峰², 杨凯同³, 尹忠东³

1. 中国电力科学研究院有限公司，北京　100192
2. 国网浙江电力有限公司嘉兴供电公司，浙江嘉兴　314500
3. 华北电力大学，北京　102206

收稿日期:2025-03-04 修回日期:2025-11-23 发布日期:2025-12-27 出版日期:2025-12-28
作者简介:
贾东梨（1982），女，硕士，高级工程师（教授级），从事配电网可靠性、大数据技术研究，E-mail：jiadongli@epri.sgcc.com.cn
任昭颖（1995），女，通信作者，硕士，高级工程师，从事配电网经济运行、柔性配电网研究，E-mail：renzhaoying@epri.sgcc.com.cn
刘科研（1978），男，博士，高级工程师（教授级），从事智能配电网的优化建模、仿真与智能计算研究，E-mail：liukeyan@126.com
基金资助:
国家电网有限公司科技项目（5400-202319202A-1-1-ZN）。

Optimization Operation of Integrated Energy Station Coordinating the Interests of Distributed Generation Provider and Load Users

JIA Dongli¹(), REN Zhaoying¹(), LIU Keyan¹(), WANG Zezhou², XIE Yifeng², YANG Kaitong³, YIN Zhongdong³

1. China Electric Power Research Institute Co., Ltd., Beijing 100192, China
2. State Grid Zhejiang Electric Power Co., Ltd. Jiaxing Power Supply Company, Jiaxing 314500, China
3. North China Electric Power University, Beijing 102206, China

Received:2025-03-04 Revised:2025-11-23 Online:2025-12-27 Published:2025-12-28
Supported by:
This work is supported by Science and Technology Project of SGCC (No.5400-202319202A-1-1-ZN).

摘要/Abstract

摘要：

为促进可再生能源的最大化利用并兼顾不同用户的经济效益，研究了协调多方主体利益的综合能源站的优化运行策略。以不同主体的能量流动关系为基础，考虑分时电价和不确定性的影响构建了电、热、冷负荷的需求响应模型，在引入碳交易机制的基础上，建立了综合能源站运行净收益、新能源消纳率和用户满意度最大化的3个目标。针对所建多目标模型的高维非线性特征，通过引入惩罚函数和多项式变异策略对多目标分解算法进行改进，以提升算法求解的全局搜索能力，同时避免陷入局部最优解。仿真算例表明：所提优化模型使得综合能源站净收益、新能源消纳率和用户满意度分别提高9.39%、8.18%和5.81%。

关键词: 综合能源站, 分解多目标进化算法, 负荷响应, 分布式发电商

Abstract:

To promote the utilization of renewable resources and improve economic interests of different subjects, here proposes a method for optimization operation strategy of Integrated Energy Station that coordinating different subject interests. Firstly, some demand response models for various loads were established by considering load uncertainty and time series electricity prices, based on the analysis of energy flow relationship of different subjects and the impact of demand response. Secondly, through introduction of carbon trading, her constructed three objective functions with the maximum net profit of Integrated Energy Station, the new energy consumption rate and the user's satisfaction. Thirdly, according to high dimensional and nonlinear features of the proposed objective, an improved multi-objective decomposition evolution algorithm is proposed by employing penalty function and polynomial mutation strategy. The simulation experiment shows that the proposed optimization model can increase the net revenue of the integrated energy station by 9.39%, the consumption rate of new energy by 8.18%and user satisfaction by 5.81%.

Key words: integrated energy station, decompose multi-objective evolutionary algorithms, load response, distributed generator

贾东梨, 任昭颖, 刘科研, 汪泽州, 谢益峰, 杨凯同, 尹忠东. 协调分布式发电商与负荷用户利益的综合能源站的优化运行[J]. 中国电力, 2025, 58(12): 128-136.

JIA Dongli, REN Zhaoying, LIU Keyan, WANG Zezhou, XIE Yifeng, YANG Kaitong, YIN Zhongdong. Optimization Operation of Integrated Energy Station Coordinating the Interests of Distributed Generation Provider and Load Users[J]. Electric Power, 2025, 58(12): 128-136.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202503005

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图/表 10

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参数	数值	参数	数值
$P_{{\text{GT}}}^{{\text{Eq,min}}}, P_{{\text{GT}}}^{{\text{Eq,max}}}/{\text{kW}}$	0, 600	${a_{\text{E}}}$	0.001 3
$P_{{\text{GB}}}^{{\text{Eq,min}}}, P_{{\text{GB}}}^{{\text{Eq,max}}}/{\text{kW}}$	0, 800	${b_{\text{E}}}$	0.160 0
$P_{{\text{WHB}}}^{{\text{Eq,min}}}, P_{{\text{WHB}}}^{{\text{Eq,max}}}/{\text{kW}}$	0, 930	${c_{\text{E}}}$	0
$ \beta _{}^{{\text{down}}},\beta _{}^{{\text{up}}}/{\text{kW}} $	300, 300	${a_{\text{H}}}$	0.000 5
$P_{}^{{\text{Dis,max}}}, P_{}^{{\text{Chr,max}}}/{\text{kW}}$	250, 250	${b_{\text{H}}}$	0.110 0
$ S_{ \rm OC}^{{\text{min}}}, S_{ \rm OC}^{\max }/{\text{kW}} $	130, 590	${c_{\text{H}}}$	0

参数	数值	参数	数值
$P_{{\text{GT}}}^{{\text{Eq,min}}}, P_{{\text{GT}}}^{{\text{Eq,max}}}/{\text{kW}}$	0, 600	${a_{\text{E}}}$	0.001 3
$P_{{\text{GB}}}^{{\text{Eq,min}}}, P_{{\text{GB}}}^{{\text{Eq,max}}}/{\text{kW}}$	0, 800	${b_{\text{E}}}$	0.160 0
$P_{{\text{WHB}}}^{{\text{Eq,min}}}, P_{{\text{WHB}}}^{{\text{Eq,max}}}/{\text{kW}}$	0, 930	${c_{\text{E}}}$	0
$ \beta _{}^{{\text{down}}},\beta _{}^{{\text{up}}}/{\text{kW}} $	300, 300	${a_{\text{H}}}$	0.000 5
$P_{}^{{\text{Dis,max}}}, P_{}^{{\text{Chr,max}}}/{\text{kW}}$	250, 250	${b_{\text{H}}}$	0.110 0
$ S_{ \rm OC}^{{\text{min}}}, S_{ \rm OC}^{\max }/{\text{kW}} $	130, 590	${c_{\text{H}}}$	0

场景	综合能源站净收益/元	新能源消纳率/%	用户满意度/%	碳排放量/kg
1	7 053.39	83.43	100.00	26 344.21
2	7 479.62	87.01	89.16	24 907.53
3	7 386.90	91.28	92.06	24 370.20

场景	综合能源站净收益/元	新能源消纳率/%	用户满意度/%	碳排放量/kg
1	7 053.39	83.43	100.00	26 344.21
2	7 479.62	87.01	89.16	24 907.53
3	7 386.90	91.28	92.06	24 370.20

算法	综合能源站净收益/元	新能源消纳率/%	用户满意度/%
NSGA-II	6 753.04	83.10	86.25
传统MOEAD	7 273.02	90.57	91.33
IMOEAD	7 386.90	91.28	92.06

协调分布式发电商与负荷用户利益的综合能源站的优化运行

Optimization Operation of Integrated Energy Station Coordinating the Interests of Distributed Generation Provider and Load Users

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[1]	刘畅, 李昊, 孙龙彪, 李佳馨, 张筱慧, 吴邦旭, 唐巍, 魏亚然. 考虑抑制联络线峰谷差和光伏消纳的综合能源站日前优化调度[J]. 中国电力, 2018, 51(8): 70-76.
[2]	曹昉, 郭培林, 王科, 孙宇军. 等室内舒适指数比调整的空调群负荷响应方法[J]. 中国电力, 2017, 50(11): 152-157.

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协调分布式发电商与负荷用户利益的综合能源站的优化运行

Optimization Operation of Integrated Energy Station Coordinating the Interests of Distributed Generation Provider and Load Users

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 37

相关文章 2

编辑推荐

Metrics