A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming

Junbin Chen; Tao Yu; Linfei Yin; Jianlin Tang; Hanqi Wang

doi:10.17775/CSEEJPES.2019.00100

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A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming

Regular Papers | 更新时间：2026-10-15

- A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming
- A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming
- 中国电机工程学会电力与能源系统学报(英文) 2020年6卷第3期页码：583-590
- 作者机构：
  
  1. School of Electric Power, South China University of Technology,Guangzhou,China
  2. College of Electrical Engineering, Guangxi University,Nanning,China
  3. Department of Electronic Information and Electrical Engineering, Dalian University of Technology,Dalian,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.00100
  中图分类号：
- 纸质出版：2020-09-01
- 稿件说明：
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Junbin Chen, Tao Yu, Linfei Yin, 等. A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(3):583-590.

Junbin Chen, Tao Yu, Linfei Yin, et al. A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming[J]. CSEE Journal of Power and Energy Systems, 2020, 6(3): 583-590.
Junbin Chen, Tao Yu, Linfei Yin, 等. A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(3):583-590. DOI： 10.17775/CSEEJPES.2019.00100.

Junbin Chen, Tao Yu, Linfei Yin, et al. A unified time scale intelligent control algorithm for microgrid based on extreme dynamic programming[J]. CSEE Journal of Power and Energy Systems, 2020, 6(3): 583-590. DOI： 10.17775/CSEEJPES.2019.00100.

摘要

Abstract

Benefiting from the progress of power electronics technology

distributed generation technology is developing rapidly. Since microgrids cannot rely on traditional multi-time scale control strategies to ensure the high-quality frequency stability control and economic dispatch in the same time scale

this paper proposes an extreme dynamic programming algorithm. The proposed algorithm takes an adaptive dynamic programming algorithm as the framework

an extreme learning machine as a kernel of the evaluation module

a model module

an implementation module and a new prediction module. The resulting unified time scale intelligent control algorithm better realizes the combined functions of "droop control + automatic generation control + economic dispatch" in the traditional opermode. Finally

in order to verify the effectiveness of the proposed algorithm

a microgrid model of 8 nodes is simulated. The results confirm the feasibility and validity of the proposed extreme dynamic programming algorithm.

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