Research on Demand Response Bidding Strategy of Virtual Power Plant Considering Uncertainty

Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering ◽

10.1145/3386415.3387057 ◽

2019 ◽

Author(s):

Tao Liu ◽

Jingjun Liu ◽

Wei Li

Keyword(s):

Power Plant ◽

Demand Response ◽

Bidding Strategy ◽

Virtual Power ◽

Virtual Power Plant ◽

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Optimal Operation and Bidding Strategy of a Virtual Power Plant Integrated With Energy Storage Systems and Elasticity Demand Response

IEEE Access ◽

10.1109/access.2019.2922700 ◽

2019 ◽

Vol 7 ◽

pp. 79798-79809 ◽

Author(s):

Wenjun Tang ◽

Hong-Tzer Yang

Keyword(s):

Energy Storage ◽

Power Plant ◽

Demand Response ◽

Storage Systems ◽

Optimal Operation ◽

Bidding Strategy ◽

Virtual Power ◽

Energy Storage Systems ◽

Virtual Power Plant

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Bidding strategy for virtual power plant with intraday demand response exchange market using stochastic programming

2016 IEEE International Conference on Sustainable Energy Technologies (ICSET) ◽

10.1109/icset.2016.7811763 ◽

2016 ◽

Author(s):

Hieu Trung Nguyen ◽

Long Bao Le

Keyword(s):

Power Plant ◽

Stochastic Programming ◽

Demand Response ◽

Bidding Strategy ◽

Exchange Market ◽

Virtual Power ◽

Virtual Power Plant

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Bidding strategy analysis of virtual power plant considering demand response and uncertainty of renewable energy

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2016.1663 ◽

2017 ◽

Vol 11 (13) ◽

pp. 3268-3277 ◽

Author(s):

Gao Zhang ◽

Chuanwen Jiang ◽

Xu Wang ◽

Bosong Li ◽

Huagang Zhu

Keyword(s):

Renewable Energy ◽

Power Plant ◽

Demand Response ◽

Bidding Strategy ◽

Virtual Power ◽

Strategy Analysis ◽

Virtual Power Plant

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Data-Driven Resource Planning for Virtual Power Plant Integrating Demand Response Customer Selection and Storage

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3068402 ◽

2021 ◽

pp. 1-1

Author(s):

Huishi Liang ◽

Jin Ma

Keyword(s):

Power Plant ◽

Demand Response ◽

Resource Planning ◽

Data Driven ◽

Virtual Power ◽

Virtual Power Plant ◽

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Incentive-based Demand Response for a Virtual Power Plant

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/645/1/012046 ◽

2021 ◽

Vol 645 ◽

pp. 012046

Author(s):

Yingyi Li ◽

Zhe Luo ◽

Lifeng Liu ◽

Ke Sun ◽

Xuan Yang ◽

...

Keyword(s):

Power Plant ◽

Demand Response ◽

Virtual Power ◽

Virtual Power Plant

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Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game Theory

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2015.2409121 ◽

2016 ◽

Vol 7 (1) ◽

pp. 510-519 ◽

Author(s):

Yao Wang ◽

Xin Ai ◽

Zhongfu Tan ◽

Lei Yan ◽

Shuting Liu

Keyword(s):

Game Theory ◽

Demand Response ◽

Power Plants ◽

Bidding Strategy ◽

Virtual Power ◽

On Demand ◽

Virtual Power Plants

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Optimal demand response bidding and pricing mechanism with fuzzy optimization: Application for a virtual power plant

2016 Clemson University Power Systems Conference (PSC) ◽

10.1109/psc.2016.7462855 ◽

2016 ◽

Author(s):

Nemer A. Amleh ◽

Ali T. Al Awami

Keyword(s):

Power Plant ◽

Demand Response ◽

Fuzzy Optimization ◽

Virtual Power ◽

Virtual Power Plant ◽

Pricing Mechanism

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Demand Response from an Integrated Electricity-Hydrogen Virtual Power Plant

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) ◽

10.1109/eeeic.2019.8783329 ◽

2019 ◽

Author(s):

James Naughton ◽

Pierluigi Mancarella ◽

Michael Cantoni

Keyword(s):

Power Plant ◽

Demand Response ◽

Virtual Power ◽

Virtual Power Plant

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Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response

Energy Conversion and Management ◽

10.1016/j.enconman.2016.09.072 ◽

2016 ◽

Vol 128 ◽

pp. 160-177 ◽

Author(s):

Liwei Ju ◽

Huanhuan Li ◽

Junwei Zhao ◽

Kangting Chen ◽

Qingkun Tan ◽

...

Keyword(s):

Power Plant ◽

Electric Vehicles ◽

Demand Response ◽

Optimization Model ◽

Stochastic Scheduling ◽

Virtual Power ◽

Scheduling Optimization ◽

Virtual Power Plant ◽

Multi Objective

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Application of CVaR risk aversion approach in the dynamical scheduling optimization model for virtual power plant connected with wind-photovoltaic-energy storage system with uncertainties and demand response

Energy ◽

10.1016/j.energy.2017.02.063 ◽

2017 ◽

Vol 124 ◽

pp. 198-213 ◽

Author(s):

Zhongfu Tan ◽

Guan Wang ◽

Liwei Ju ◽

Qingkun Tan ◽

Wenhai Yang

Keyword(s):

Energy Storage ◽

Power Plant ◽

Risk Aversion ◽

Demand Response ◽

Optimization Model ◽

Storage System ◽

Energy Storage System ◽

Virtual Power ◽

Scheduling Optimization ◽

Virtual Power Plant

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