Incentivizing energy trading for interconnected microgrids
In this paper, we study the interactions among interconnected autonomous microgrids, and
develop a joint energy trading and scheduling strategy. Each interconnected microgrid not …
develop a joint energy trading and scheduling strategy. Each interconnected microgrid not …
Reinforcement learning-based microgrid energy trading with a reduced power plant schedule
With dynamic renewable energy generation and power demand, microgrids (MGs)
exchange energy with each other to reduce their dependence on power plants. In this …
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 …
coordination of energy markets in distribution and transmission networks. The proposed …
A truthful incentive mechanism for emergency demand response in colocation data centers
Data centers are key participants in demand response programs, including emergency
demand response (EDR), where the grid coordinates large electricity consumers for demand …
demand response (EDR), where the grid coordinates large electricity consumers for demand …
Scheduling online EV charging demand response via V2V auctions and local generation
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 …
Vehicle (EV) charging stations are believed to have great potential in Emergency Demand …
Auction mechanism for dynamic bandwidth allocation in multi-tenant edge computing
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 …
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
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 …
problem toward four goals:(1) the maximization of the broker's economic benefits;(2) the …
Crowdsourcing sensing to smartphones: A randomized auction approach
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 …
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 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
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 …
demand-a perfect balance across the temporal domain, for the stable operation of the power …