Double Layer Dynamic Game Bidding Mechanism Based on Multi-Agent Technology for Virtual Power Plant and Internal Distributed Energy Resource
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Double Layer Dynamic Game Bidding Mechanism Based on Multi-Agent Technology for Virtual Power Plant and Internal Distributed Energy Resource
Authors
Keywords
-
Journal
Energies
Volume 11, Issue 11, Pages 3072
Publisher
MDPI AG
Online
2018-11-07
DOI
10.3390/en11113072
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Novel Markov-Based Temporal-SoC Analysis for Characterizing PEV Charging Demand
- (2018) Siyang Sun et al. IEEE Transactions on Industrial Informatics
- Coordinated dispatch in multiple cooperative autonomous islanded microgrids
- (2016) Xinli Fang et al. APPLIED ENERGY
- Day-ahead resource scheduling of a renewable energy based virtual power plant
- (2016) Ali Ghahgharaee Zamani et al. APPLIED ENERGY
- Strategic Bidding for a Virtual Power Plant in the Day-Ahead and Real-Time Markets: A Price-Taker Robust Optimization Approach
- (2016) Morteza Rahimiyan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
- (2016) Shouxiang Wang et al. RENEWABLE ENERGY
- Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game Theory
- (2016) Yao Wang et al. IEEE Transactions on Smart Grid
- Review of energy storage system for wind power integration support
- (2015) Haoran Zhao et al. APPLIED ENERGY
- Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm
- (2015) Hamed Chitsaz et al. ENERGY CONVERSION AND MANAGEMENT
- Energy bidding strategies for restructured electricity market
- (2015) M. Prabavathi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach
- (2015) Evaggelos G. Kardakos et al. IEEE Transactions on Smart Grid
- A Novel Demand Response Model with an Application for a Virtual Power Plant
- (2015) Ashot Mnatsakanyan et al. IEEE Transactions on Smart Grid
- Optimal Bidding Strategy for Microgrids Considering Renewable Energy and Building Thermal Dynamics
- (2014) Duong Tung Nguyen et al. IEEE Transactions on Smart Grid
- Solar radiation prediction using Artificial Neural Network techniques: A review
- (2013) Amit Kumar Yadav et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method
- (2012) Malahat Peik-Herfeh et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part II: Numerical Analysis
- (2010) Elaheh Mashhour et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation
- (2010) Elaheh Mashhour et al. IEEE TRANSACTIONS ON POWER SYSTEMS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation