A Two-Level Energy Management Strategy for Multi-Microgrid Systems With Interval Prediction and Reinforcement Learning-Reference-Cited by-同舟云学术

A Two-Level Energy Management Strategy for Multi-Microgrid Systems With Interval Prediction and Reinforcement Learning

Published:2022-04 Issue:4 Volume:69 Page:1788-1799
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Xiong Luolin¹,Tang Yang¹^ORCID,Mao Shuai¹^ORCID,Liu Hangyue²^ORCID,Meng Ke²^ORCID,Dong Zhaoyang²^ORCID,Qian Feng¹^ORCID

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

2. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

International (Regional) Cooperation and Exchange Project

Program of Shanghai Academic Research Leader

Chinesisch-Deutsche Zentrum für Wissenschaftsförderung

Australian Research Council Future Fellow Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8919/9745276/09684239.pdf?arnumber=9684239

Reference42 articles.

1. Optimal sizing of capacitors placed on a radial distribution system

2. High-dimensional continuous control using generalized advantage estimation;schulman;arXiv 1506 02438 [cs],2015

3. Convex relaxations and linear approximation for optimal power flow in multiphase radial networks

4. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

5. Two-stage stochastic operation considering day-ahead and real-time scheduling of microgrids with high renewable energy sources and electric vehicles based on multi-layer energy management system

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