Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.118765
Abstract: Abstract This paper addresses the optimal decision problem of a distributed energy resources (DER) aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) units while implementing real-time pricing (RTP) demand response… read more here.
Keywords: bidding scheduling; uncertainty; aggregator; der aggregator ... See more keywords
Risk-involved participation of electric vehicle aggregator in energy markets with robust decision-making approach
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2019.118076
Abstract: Abstract Uncertainty of different parameters in power systems can put market players at risk. For example, uncertainty of market prices in energy markets with capitalist characteristics can negatively affect decisions of aggregators participating in such… read more here.
Keywords: energy markets; uncertainty; aggregator; energy ... See more keywords
Impact of actual service provider failure on the satisfaction with aggregator
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Strategic Marketing"
DOI: 10.1080/0965254x.2017.1339115
Abstract: Abstract The purpose of the paper is to investigate the impact of the failure caused by the actual service provider on consumer satisfaction with the aggregator firm, where the aggregator firm works as a bridge… read more here.
Keywords: actual service; service provider; service; failure ... See more keywords
Interruptible Power Estimation and Auxiliary Service Allocation Using Contract Theory and Dynamic Game for Demand Response in Aggregator Business Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940628
Abstract: The traditional power market only considers the cost for electricity users, the willingness-to-pay, and the priority of electricity consumption. From the perspective of the electricity industry, only stable power supply, generator equipment set expansion, new… read more here.
Keywords: demand response; power; aggregator; electricity users ... See more keywords
Renewable Energy Bidding Strategies Using Multiagent Q-Learning in Double-Sided Auctions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2021.3059000
Abstract: Owing to energy liberalization and increasing penetration of renewables, renewable energy trading among suppliers and users has gained much attention and created a new market. This article investigates a double-auction scheme operated by an aggregator… read more here.
Keywords: multiagent learning; aggregator; bidding strategies; energy ... See more keywords
Optimal Bilevel Operation-Planning Framework of Distributed Generation Hosting Capacity Considering Rival DISCO and EV Aggregator
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2021.3123242
Abstract: The aggressive goal of having a 100% renewable energy system requires preparing an appropriate infrastructure for deploying as much distributed generation (DG) as possible into the electricity network. This article aims at proposing a new… read more here.
Keywords: operation planning; distributed generation; framework; disco ... See more keywords
Competitive Statistical Estimation With Strategic Data Sources
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2922190
Abstract: In recent years, data have played an increasingly important role in the economy as a good in its own right. In many settings, data aggregators cannot directly verify the quality of the data they purchase,… read more here.
Keywords: statistical estimation; competitive statistical; aggregator; strategic data ... See more keywords
HierFedML: Aggregator Placement and UE Assignment for Hierarchical Federated Learning in Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3218807
Abstract: Federated learning (FL) is a distributed machine learning technique that enables model development on user equipments (UEs) locally, without violating their data privacy requirements. Conventional FL adopts a single parameter server to aggregate local models… read more here.
Keywords: mobile edge; federated learning; worker; edge computing ... See more keywords
Risk-Averse Optimal Bidding of Electric Vehicles and Energy Storage Aggregator in Day-Ahead Frequency Regulation Market
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2888942
Abstract: The need for frequency regulation capacity increases as the fraction of renewable energy sources grows in the electricity market. An aggregator can provide frequency regulation by controlling its generation and demand. Here we investigate the… read more here.
Keywords: frequency regulation; regulation; aggregator; energy ... See more keywords
Mechanism Design for Demand Response Programs
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DOI: 10.1109/tsg.2019.2917396
Abstract: Demand response (DR) programs serve to reduce the consumption of electricity at times when the supply is scarce and expensive. Consumers or agents with flexible consumption profiles are recruited by an aggregator who manages the… read more here.
Keywords: aggregator; response programs; demand response; consumption ... See more keywords
Optimal Reserve Management of Electric Vehicle Aggregator: Discrete Bilevel Optimization Model and Exact Algorithm
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2021.3075710
Abstract: This paper investigates the day-ahead optimal reserve management problem of electric vehicle (EV) aggregator. Geographically dispersed EVs are coordinated by the aggregator to participate in the day-ahead reserve market. A bilevel model is proposed to… read more here.
Keywords: exact algorithm; reserve management; optimal reserve; aggregator ... See more keywords