A deep reinforcement learning method for managing wind farm uncertainties through energy storage system control and external reserve purchasing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A deep reinforcement learning method for managing wind farm uncertainties through energy storage system control and external reserve purchasing

Published:2020-07 Issue: Volume:119 Page:105928
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Yang J.J.,Yang M.,Wang M.X.,Du P.J.,Yu Y.X.

Funder

State Grid Corporation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. On generation schedule tracking of wind farms with battery energy storage systems;Zhang;IEEE Trans Sustainable Energy,2017

2. Managing wind power uncertainty through strategic reserve purchasing;Du;IEEE Trans Power Syst,2017

3. Coordinated operational planning for wind farm with battery energy storage system;Luo;IEEE Trans Sustainable Energy,2015

4. Reserve requirements for wind power integration: A scenario-based stochastic programming framework;Papavasiliou;IEEE Trans Power Syst,2011

5. Stochastic optimization of the daily operation of wind farm and pumped-hydro-storage plant;Ding;Renewable Energy,2012

Cited by 61 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep reinforcement learning ensemble for maintenance scheduling in offshore wind farms;Applied Energy;2025-01

2. Optimal scheduling of battery energy storage train and renewable power generation;Electrical Engineering;2024-04-17

3. Utilization of data and information flows for enhancing a chambermaid scheduling decision making in a smart hospitality supply chain;Annals of Operations Research;2024-03-18

4. A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights;Renewable Energy Focus;2024-03

5. Multi-objective deep reinforcement learning for a water heating system with solar energy and heat recovery;Energy;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3