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中国管理科学 ›› 2021, Vol. 29 ›› Issue (9): 102-110.doi: 10.16381/j.cnki.issn1003-207x.2019.0315

• 论文 • 上一篇    下一篇

具有电力存储设备的实时需求响应与能量调度

朱红波1,2, 刘长平2,3, 冯雪4, 刘松涛5, 王宗尧2,3   

  1. 1. 淮阴工学院数理学院, 江苏 淮安 223003;
    2. 江苏智能工厂工程研究中心, 江苏 淮安 223003;
    3. 淮阴工学院管理工程学院, 江苏 淮安 223003;
    4. 空军航空大学航空基础学院, 吉林 长春 130022;
    5. 江苏省水文水资源勘测局淮安分局, 江苏 淮安 223001
  • 收稿日期:2019-03-10 修回日期:2019-10-31 出版日期:2021-09-20 发布日期:2021-09-20
  • 通讯作者: 朱红波(1981-),女(汉族),吉林蛟河人,淮阴工学院数理学院,副教授,博士,研究方向:智能电网优化与控制、需求侧管理,E-mail:zhb8151@hyit.edu.cn. E-mail:zhb8151@hyit.edu.cn
  • 基金资助:
    江苏省社会科学基金资助项目(19GLB022);国家社会科学基金资助项目(17BSH040);教育部人文社会科学基金资助项目(16YJA630032)

Real-time Demand Response and Energy Scheduling with Power Storage Devices

ZHU Hong-bo1,2, LIU Chang-ping2,3, FENG Xue4, LIU Song-tao5, WANG Zong-yao2,3   

  1. 1. Faculty of Mathematics and Physics, Huaiyin Institute of Technology, Huai'an 223003, China;
    2. Jiangsu Smart Factory Engineering Research Center, Huai'an 223003, China;
    3. Faculty of Management engineering, Huaiyin Institute of Technology, Huai'an 223003, China;
    4. Department of Mathematics, Aviation University of Air Force, Changchun 130022, China;
    5. Huaian Hydrology and Water Resource Investigation Bureau of Jiangsu Province, Huai'an 223001, China
  • Received:2019-03-10 Revised:2019-10-31 Online:2021-09-20 Published:2021-09-20

摘要: 实时需求响应与能量调度是智能电网中调节电力供需平衡的理想手段,其实施必然对用户的用电行为和电网的运行与管理产生深远影响。本文考虑用户具有多个可充、放电的电力存储设备,兼顾供电商发电量平稳的需求,在社会福利最大化模型的基础上,建立一个实时需求响应与能量调度的优化模型。给出模型的对偶问题,在满足强对偶性的前提下,可以通过求解对偶问题得到原问题的最优解,并确定可供用户与供电商参考的实时电价。在对偶问题中,问题可以分解为用户侧和供电侧两类子问题。进而设计分布式实时需求响应算法,并证明了算法的收敛性,供电侧与用户侧通过信息互动求得最优解。仿真结果验证了模型的合理性和算法的可行性。

关键词: 智能电网, 需求响应, 电力存储设备, 分布式算法

Abstract: The real-time demand response and energy schedulingis an ideal method to adjust power balance between supply and demand in the smart grid. Its implementation has a profound impact on users' behavior, and on operation and management of the power grid. It is considered that the user has multiple power storage devices with charge and discharge function. Basing on the social welfare maximization model and ensuring that the power supply of energy supplier is stable, an optimization model of real-time demand response and energy scheduling is established. The dual problem of the model is given. On the premise of satisfying strong duality, the optimal solution of the original problem can be obtained by solving the dual problem, and the real-time electricity price for users and energy supplier is determined. In dual domain, the problem can be decomposed into two types of sub-problems:the user side and the power supply side. Then a distributed real-time demand response algorithm is designed, and its convergence is proved. The optimal solution is obtained through the interaction between the power supply side and the user side. The simulation results verify the rationality of the model and the feasibility of the algorithm.

Key words: smart grid, demand response, power storage device, distributed algorithm

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