基于迭代自适应动态规划的储能智能电网功率最优控制

Q2 Computer Science

自动化学报 Pub Date : 2014-09-01 DOI:10.3724/SP.J.1004.2014.01984

Cheng Wang, D. Liu, Qinglai Wei, Dongbin Zhao, Zhenglong Xia

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引用次数: 10

摘要

智能电网是新一代电网，也是国际电力行业的共同选择。针对具有储能装置的智能电网，建立了一种新的自适应最优控制理论和一套基于自适应动态规划(ADP)的方法。最终实现发电侧与用户之间的智能交互，为智能电网创造供需优化匹配的新方式。首先，给出了带储能装置电网动态规划的最优性原理，并提出了优化目标;然后提出了一种新的迭代自适应动态规划方法来实现储能装置的最优控制，并证明了该方法的收敛性。最后通过仿真实例验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Iterative adaptive dynamic programming approach to power optimal control for smart grid with energy storage devices

The smart grid is a new generation of power grids, and also the common choice of the international power industry. This paper aims to establish a new adaptive optimal control theory and a set of methods based on adaptive dynamic programming(ADP) for a smart grid with energy storage devices. The intelligent interactions between the power generation side and the clients can be finally achieved to create a new way of optimal matching of the supply and demand for the smart grid. First, the optimality principle of dynamic programming for the grid with energy storage devices is given, and optimization objective is then presented. Then a new iterative adaptive dynamic programming method is developed to achieve the optimal control of energy storage devices, and convergence of the adaptive dynamic programming method is also proved. Finally, a simulation example is given to show the effectiveness of the method.

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来源期刊

自动化学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

4.80

自引率

0.00%

发文量

6655

期刊介绍： ACTA AUTOMATICA SINICA is a joint publication of Chinese Association of Automation and the Institute of Automation, the Chinese Academy of Sciences. The objective is the high quality and rapid publication of the articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technology, and industrial standards in automation.