Joint optimization of energy and reserve in deregulated power markets: Alternative approach using Mean Variance Mapping Optimization

2016 ◽  
Author(s):  
Carlos Josue Lopez-Salgado ◽  
Osvaldo Ano ◽  
Diego M. Ojeda-Esteybar ◽  
Fabricio Porras
Keyword(s):  
Power Markets ◽  
Joint Optimization ◽  
Deregulated Power Markets ◽  
Alternative Approach ◽  
Mean Variance

Adaptive game modeling of deregulated power markets

2002 ◽  
Vol 22 (9) ◽  
pp. 42-45 ◽  
Author(s):  
C. Skoulidas ◽  
C. Vournas ◽  
G. Papavassilopoulos
Keyword(s):  
Power Markets ◽  
Deregulated Power Markets

Graphical User Interface (GUI) for Stochastic Optimal Power Flow in the Deregulated Power Markets

2003 ◽  
Author(s):  
H. Y. Yamin
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Probability Distributions ◽  
Probabilistic Approach ◽  
Power Markets ◽  
Fuel Prices ◽  
Optimal Power ◽  
Deregulated Power Markets

This paper presents the Graphical User Interface (GUI) for the Stochastic Optimal Power Flow (SOPF) in deregulated power markets. SOPF is a C++ software package that incorporates a probabilistic approach for the evaluation of composite reliability of generation, load forecast and fuel prices using different probability distributions. GUI is a Visual Basic package incorporated with Microsoft Access and PowerPoint for visualization. GUI provides several simple user interface screens for handling the inputs, processes, and results. Several screens are designed and presented in this paper to show the crucial role for the GUI.

Contagions in interconnected power markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rangga Handika
Keyword(s):  
High Risk ◽  
Design Methodology ◽  
Multinomial Logit ◽  
Power Markets ◽  
Demand And Supply ◽  
Content Type ◽  
Market Participants ◽  
Alternative Approach ◽  
Contagion Risk

PurposeThis paper offers an alternative approach to assessing contagions in price and load in the Australian interconnected power markets. This approach enabled us to identify a high-risk region and assess the direction of contagions from both buyers' and sellers' perspectives.Design/methodology/approachThe author used a multinomial logit method to measure contagions. Having identified the exceedance and coexceedances, the author estimated the multinomial logit coefficients of the covariates explaining the probability of a certain number of coexceedances.FindingsMarket participants should recognize the presence of contagion risk and scrutinize price and load dynamics in the NSW and VIC regions to anticipate any simultaneous extreme changes. Regulators need to stabilize the demand and supply sides in those regions to minimize any possible contagions.Originality/valueThis paper presents a pioneering study investigating contagion in the Australian interconnected power markets.

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