[1]李红伟,刘玲园,丁　宁,等.计及氢储能电站服务的热电联供型微网优化调度[J].郑州大学学报(工学版),2026,47(02):94-103.[doi:10.13705/j.issn.1671-6833.2026.02.009]
　LI Hongwei,LIU Lingyuan,DING Ning,et al.Optimal Scheduling of Combined Heat and Power Based Microgrid Considering Hydrogen Energy Storage Power Station Services[J].Journal of Zhengzhou University (Engineering Science),2026,47(02):94-103.[doi:10.13705/j.issn.1671-6833.2026.02.009]
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计及氢储能电站服务的热电联供型微网优化调度()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年02期
页码:
94-103
栏目:
出版日期:
2026-02-13

文章信息/Info

Title:
Optimal Scheduling of Combined Heat and Power Based Microgrid Considering Hydrogen Energy Storage Power Station Services
文章编号:
1671-6833(2026)02-0094-10
作者:
李红伟;  刘玲园;  丁　宁;  任　诚
西南石油大学 电气信息学院,四川 成都 610500
Author(s):
LI Hongwei;  LIU Lingyuan;  DING Ning;  REN Cheng
The College of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China
关键词:
热电联供;  需求响应;  氢储能电站;  双层规划;  优化调度
Keywords:
combined heat and power supply(CHP);  demand response;  hydrogen energy storage power station;  double-layer planning;  optimization scheduling
分类号:
TM73
DOI:
10.13705/j.issn.1671-6833.2026.02.009
文献标志码:
A
摘要:
为实现微网和氢储能电站之间的双赢,构建了一种计及氢储能电站服务并考虑需求响应和热电联供(combined heat and power,CHP)型微网。所建系统将电、热、氢能结合起来,实现三者能量的相互转换,并进一步引入余热回收以有效提高能量利用。在此基础上,建立考虑两个优化问题的双层规划模型,上层模型研究氢储能电站优化问题,以氢储能电站总运行成本最低为目标;下层模型分析基于氢储能电站的微网系统优化运行模型,以热电联供型微网总运行成本最低为目标进行优化研究。运用拉格朗日方法并基于KKT条件将下层目标转化为上层的约束条件,运用大M法将非线性规划问题转为混合整数线性规划问题求解。分析了价格型、替代型负荷占比对于系统的影响,选择合适的占比实现系统收益的最大化。结合冬夏两个典型季节的特点,设置了3种场景进行对比分析,结果验证了该模型的可行性和有效性,在合理调整需求响应负荷占比后,降低了运行成本,经济性更好。
Abstract:
In order to achieve a win-win situation between micro grid and hydrogen energy storage power station, in this study a combined heat and power (CHP) supply based micro-grid was built by considering the services of hydrogen energy storage power station and demand response. The system combines electricity, heat and hydrogen energy and realized the energy conversions among them.And the waste heat recovery was included to effectively improve the whole energy utilization. Then, a double planning model with two optimization problems was presented. The upper-level model focused on optimizing hydrogen energy storage power stations and aiming to minimize the total operating cost of these stations. The lower-level model analyzed the optimization operation model of microgrid system with hydrogen energy storage power stations to achieve the goal of minimizing the total operating cost of the CHP based microgrid. Based on the Lagrange function and KKT condition, lower level target were transformed and added into upper level as constraint conditions, and then the large-M method was used to solve the problems by transforming the nonlinear programming problem into a mixed integer linear programming problem. The impacts of price type and alternative load ratio on the system were analyzed, and the appropriate ratio could be given to maximize the benefits of the system. Considering the characteristics of two typical seasons, winter and summer, three scenarios were selected for comparative analysis. The results verified the feasibility and effectiveness of the model. After reasonably adjusting the load proportion of demand response, the system had lower operational cost and better economic efficiency.

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更新日期/Last Update: 2026-03-04