Day-ahead bidding strategy for electric vehicle aggregator enabling multiple agent modes in uncertain electricity markets

2020 ◽  
Vol 280 ◽  
pp. 115977
Author(s):  
Yanchong Zheng ◽  
Hang Yu ◽  
Ziyun Shao ◽  
Linni Jian
Keyword(s):  
Electric Vehicle ◽  
Electricity Markets ◽  
Bidding Strategy ◽  
Multiple Agent

Bidding strategy for risk-averse producers in transmission-constrained electricity markets

2015 ◽  
Author(s):  
Evaggelos G. Kardakos ◽  
Christos K. Simoglou ◽  
Stylianos I. Vagropoulos ◽  
Anastasios G. Bakirtzis
Keyword(s):  
Electricity Markets ◽  
Bidding Strategy ◽  
Risk Averse

Impacts of Emission Trading on Optimal Bidding Strategies of Generation Companies in Day-Ahead Electricity Markets

2014 ◽  
Vol 521 ◽  
pp. 476-479 ◽  
Author(s):  
Guo Zhong Liu
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Emissions Trading ◽  
Emission Trading ◽  
Distribution Functions ◽  
Bidding Strategy ◽  
Chance Constrained Programming ◽  
Optimization Approach ◽  
Generation Company ◽  
Optimal Bidding

The impacts of Emission trading on building the optimal bidding strategy for a generation company participating in a day-ahead electricity market is investigated. The CO2 emission price in an emissions trading market is evaluated by using an optimization approach similar to the well-developed probabilistic production simulation method. Then upon the assumption that the probability distribution functions of rivals bidding are known, a stochastic optimization model for building the risk-constrained optimal bidding strategy for the generation company in the framework of the chance-constrained programming is presented. Finally, a numerical example is served for demonstrating the feasibility of the developed model and method, and the optimal bidding results are compared for the two situations with and without the CO2 emissions trading.

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