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Self-Scheduling Approach to Coordinating Wind Power Producers With Energy Storage and Demand Response

https://doi.org/10.1109/tste.2019.2920884
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What this work says

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Integrating Renewables in Electricity Markets
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Offering Strategy of Wind-Power Producer: A Multi-Stage Risk-Constrained Approach
inferredcites →https://doi.org/10.1109/tpwrs.2015.2431271openalex-snapshot
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Value of Flexible Resources, Virtual Bidding, and Self-Scheduling in Two-Settlement Electricity Markets with Wind Generation—Part I: Principles and Competitive Model
inferredcites →https://doi.org/10.1109/tpwrs.2017.2699688openalex-snapshot
Value of Flexible Resources, Virtual Bidding, and Self-Scheduling in Two-Settlement Electricity Markets With Wind Generation—Part II: ISO Models and Application
inferredcites →https://doi.org/10.1109/tsg.2013.2273800openalex-snapshot
Optimal Operation of Independent Storage Systems in Energy and Reserve Markets With High Wind Penetration
inferredcites →https://doi.org/10.1109/tste.2011.2114680openalex-snapshot
Wind Power Prediction by a New Forecast Engine Composed of Modified Hybrid Neural Network and Enhanced Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/tste.2014.2324035openalex-snapshot
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Sharing Profit From Joint Offering of a Group of Wind Power Producers in Day Ahead Markets
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Mathematical modeling of electrochemical storage for incorporation in methods to optimize the operational planning of an interconnected micro grid
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A mechanism of intraday market design for promoting wind power integration

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