Bidding Strategy for Aggregators of Electric Vehicles in Day-Ahead Electricity Markets

Author： Guo Yunpeng   Liu Weijia   Wen Fushuan   Salam Abdus   Mao Jianwei   Li Liang  

Publisher： MDPI

E-ISSN： 1996-1073|10|1|144-144

ISSN： 1996-1073

Source： Energies, Vol.10, Iss.1, 2017-01, pp. : 144-144

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Aggregators’ Optimal Bidding Strategy in Sequential Day-Ahead and Intraday Electricity Spot Markets

By Ayón Xiaolin   Moreno María Ángeles   Usaola Julio  

Energies, Vol. 10, Iss. 4, 2017-04 ,pp. : 450-450

MDPI

Access to resources Recommend Favorite

A Game Theoretical Approach Based Bidding Strategy Optimization for Power Producers in Power Markets with Renewable Electricity

By Tang Yi   Ling Jing   Ma Tingting   Chen Ning   Liu Xiaofeng   Gao Bingtuan  

Energies, Vol. 10, Iss. 5, 2017-05 ,pp. : 627-627

MDPI

Access to resources Recommend Favorite

Day-ahead AC-DC OPF-based nodal price prediction by artificial neural network (ANN) in a restructured electricity market

By Warkad S.B.  

International Journal of Power and Energy Conversion, Vol. 3, Iss. 1-2, 2012-12 ,pp. : 54-76

Inderscience Publishers

Access to resources Recommend Favorite

A Unified Trading Model Based on Robust Optimization for Day-Ahead and Real-Time Markets with Wind Power Integration

By Jiang Yuewen   Chen Meisen   You Shi  

Energies, Vol. 10, Iss. 4, 2017-04 ,pp. : 554-554

MDPI

Access to resources Recommend Favorite

Improving Electricity Consumption Estimation for Electric Vehicles Based on Sparse GPS Observations

By Wang Jiangbo   Liu Kai   Yamamoto Toshiyuki  

Energies, Vol. 10, Iss. 1, 2017-01 ,pp. : 129-129

MDPI

Access to resources Recommend Favorite