Incentivizing energy trading for interconnected microgrids

H Wang, J Huang - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
In this paper, we study the interactions among interconnected autonomous microgrids, and
develop a joint energy trading and scheduling strategy. Each interconnected microgrid not …

Reinforcement learning-based microgrid energy trading with a reduced power plant schedule

X Lu, X Xiao, L Xiao, C Dai, M Peng… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With dynamic renewable energy generation and power demand, microgrids (MGs)
exchange energy with each other to reduce their dependence on power plants. In this …

A hierarchical electricity market structure for the smart grid paradigm

SD Manshadi, ME Khodayar - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
This paper proposed a hierarchical structure for the electricity market to facilitate the
coordination of energy markets in distribution and transmission networks. The proposed …

A truthful incentive mechanism for emergency demand response in colocation data centers

L Zhang, S Ren, C Wu, Z Li - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
Data centers are key participants in demand response programs, including emergency
demand response (EDR), where the grid coordinates large electricity consumers for demand …

Scheduling online EV charging demand response via V2V auctions and local generation

Y Yuan, L Jiao, K Zhu, L Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the enormous energy consumption and the wide geographic distribution, Electrical
Vehicle (EV) charging stations are believed to have great potential in Emergency Demand …

Auction mechanism for dynamic bandwidth allocation in multi-tenant edge computing

THT Le, NH Tran, T LeAnh, TZ Oo, K Kim… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Inspired by the shared infrastructure of colocation data centers and the growth of Mobile
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …

A reinforcement and imitation learning method for pricing strategy of electricity retailer with customers' flexibility

Y Zhang, Q Yang, D Li, D An - Applied Energy, 2022 - Elsevier
The effective pricing of retail broker in competitive electricity market constitutes a key
problem toward four goals:(1) the maximization of the broker's economic benefits;(2) the …

Crowdsourcing sensing to smartphones: A randomized auction approach

J Li, Y Zhu, Y Hua, J Yu - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
Crowdsourcing to mobile users has emerged as a compelling paradigm for collecting
sensing data over a vast area for various monitoring applications. It is of paramount …

Vehicle-to-grid service development logic and management formulation

L Shi, T Lv, Y Wang - Journal of Modern Power Systems and …, 2019 - ieeexplore.ieee.org
Vehicle-to-grid (V2G) is regarded as the effective way to reconcile contradictions between
an electric power system and electric vehicles (EVs). A lot of research has been carried out …

An online procurement auction for power demand response in storage-assisted smart grids

R Zhou, Z Li, C Wu - 2015 IEEE Conference on Computer …, 2015 - ieeexplore.ieee.org
The quintessential problem in a smart grid is the matching between power supply and
demand-a perfect balance across the temporal domain, for the stable operation of the power …