.png){kind=icon}
返回
Hierarchical Distributed Robust Optimization for Demand Response Services
.png){kind=icon}
PRE
AI
DOI：10.1109/TSG.2017.2701821.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a hierarchical robust distributed optimization for day-ahead and intra-day scheduling of the operation of flexible devices (electro-thermal heating units) within a city district. An aggregation service provider, which acts as an aggregator, performs this distributed optimization to maximize the flexibility potential of its customers to provide services to other actors, such as to a balance responsible party or the distribution system operator. Our optimization algorithm is based upon the alternating direction method of multipliers and prioritizes each individual customer and its own private objective. A model predictive control and robust design guarantee that uncertainty, e.g., electrical or thermal demand, is managed within the optimization process. The work includes a customer versus system level objective (aggregator) analysis under uncertainty.
Keyword:
Distributed optimization
flexibility
demand response
alternating direction method of multipliers
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.8
论文数:
5.7K
被引数:
4.3W
机构
E
引用论文
An actin-mediated two-step mechanism is required for ventral enclosure of the C. elegans hypodermis.png)
Development
DevelopmentIF0
PREAI
分享收藏Robust energy storage scheduling for imbalance reduction of strategically formed energy balancing groups用于减少战略形成的能量平衡组的不平衡的鲁棒储能调度ENERGY
OAAI
ENERGYIF9.4
OAAI分享收藏Comparing Centralized and Decentralized Contract Design Enabling Direct Load Control for Reserves
PREAI
分享收藏
查看更多内容