Approximate Dynamic Programming-based Online Algorithm for Combination Operation of Source-network-load-storage in the Industrial Park

被引：0
|
作者：
Zhu T. [1 ]
Chen J. [2 ]
Duan Q. [1 ]
Bie P. [1 ]
Chen Q. [1 ]
Zhu J. [2 ]
Liu M. [2 ]
机构：
[1] Guangdong Electric Power Trading Center Co., Ltd., Guangzhou, 510080, Guangdong Province
[2] School of Electric Power Engineering, South China University of Technology, Guangzhou, 510640, Guangdong Province
来源：
Zhu, Jianquan (zhujianquan@scut.edu.cn) | 1600年 / Power System Technology Press卷 / 44期
基金：
中国国家自然科学基金;
关键词：
Approximate dynamic programming; Industrial park power grid; Joint operation; Online decision-making; Randomness;
D O I：
10.13335/j.1000-3673.pst.2019.2389
中图分类号：
学科分类号：
摘要：
Aiming at the source-network-load-storage joint operation problem in the industrial park, an online algorithm based on the approximate dynamic programming (ADP) is proposed. With the sufficient consideration of the randomness of renewable energy generation, load and electricity price, the nonlinearity of energy storage, as well as the constraints of AC power flow, voltage and transmission line, a stochastic mixed integer nonlinear programming (MINLP) model for the source- network-load-storage joint operation in the industrial park is established. To solve this complex problem, we reformulate it into the Markov decision process (MDP), in which the time independent variables are extracted for reducing the state and decision variables. Then the ADP technology is used to achieve the accurate and efficient solution. The framework is designed with the off-line value function training and on-line decision-making, such that the iterative process of ADP is avoided in the on-line decision-making process. According to the real-time prediction information, the source-network-load- storage joint operation strategy of the industrial park can be quickly obtained with high accuracy. Finally, simulation analysis is used to verify the effectiveness of the proposed method. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码：3744 / 3751
页数：7
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