Assessment of transmission congestion price risk and hedging in the Brazilian electricity market

Author(s):  
F. Porrua ◽  
G.B. Schuch ◽  
L.A. Barroso ◽  
A. Street ◽  
M. Junqueira ◽  
...  
2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
K. Vijayakumar

Congestion management is one of the important functions performed by system operator in deregulated electricity market to ensure secure operation of transmission system. This paper proposes two effective methods for transmission congestion alleviation in deregulated power system. Congestion or overload in transmission networks is alleviated by rescheduling of generators and/or load shedding. The two objectives conflicting in nature (1) transmission line over load and (2) congestion cost are optimized in this paper. The multiobjective fuzzy evolutionary programming (FEP) and nondominated sorting genetic algorithm II methods are used to solve this problem. FEP uses the combined advantages of fuzzy and evolutionary programming (EP) techniques and gives better unique solution satisfying both objectives, whereas nondominated sorting genetic algorithm (NSGA) II gives a set of Pareto-optimal solutions. The methods propose an efficient and reliable algorithm for line overload alleviation due to critical line outages in a deregulated power markets. The quality and usefulness of the algorithm is tested on IEEE 30 bus system.


Author(s):  
Michael C. Coulon ◽  
Warren B. Powell ◽  
Ronnie Sircar

2018 ◽  
Vol 7 (2.8) ◽  
pp. 692
Author(s):  
Virendra Umale ◽  
Sanjay Warkad

Optimal Power Flow method described the nodal transmission pricing into different related factors, such as congestion,generation, power and electric load limitations. These detailsof each bus transmission prices can be used for to improve the proper usage of transmission congestion and power grid and to get reasonable transmission pricing for power structure. The proposed methodology is demonstrated on IEEE57 bus system and Maharashtra utility electric 400/765kv network.


2016 ◽  
Vol 37 (2) ◽  
Author(s):  
Simona Bigerna ◽  
Carlo Andrea Bollino ◽  
Paolo Polinori

2019 ◽  
Vol 78 (309) ◽  
pp. 58
Author(s):  
Alejandra Enríquez ◽  
José Carlos Ramírez ◽  
Juan Rosellón

<p>Los precios de la electricidad han registrado una marcada tendencia al alza desde la implementación de la reforma en el mercado eléctrico (RME) de México, que ha sido citada por algunos como evidencia de su fracaso. En este artículo estudiamos los determinantes de esa alza mediante la deducción de la curva de costos de generación de la Comisión Federal de Electricidad, antes de la entrada en vigor de la reforma, la construcción de datos horarios sobre precios promedios y el estudio de la relación entre precios y rentas de congestión. Los resultados principales del documento muestran que los tipos de tecnología de generación más rentables son los resultantes de la RME y que el aumento de los precios registrado durante los primeros años de la RME se explica, principalmente, por una creciente congestión de la red nacional de transmisión eléctrica más que por un diseño ineficiente de la competencia en el sector de generación.</p><p> </p><p align="center">GENERATION COSTS, INVESTMENT AND PRICES IN MEXICO’S ELECTRICITY SECTOR<strong></strong></p><p align="center"><strong>ABSTRACT</strong><strong> </strong><strong></strong></p>Electricity prices have seen a consistent upward trend since the implementation of Mexico’s electricity market reform (EMR). This has been interpreted by some as a failure of the EMR. In this paper we study the determinants of such price increases. We calculate the generation cost curve of the Federal Electricity Commission prior to the entry into force of the reform. We then construct daily data on average prices during the EMR. We also finally study the relationship between prices and transmission congestion rents. Our main results indicate that the most profitable types of generation technology are the ones resulting from the EMR. Likewise, price increases have taken place despite the existence of a considerably larger number of competitors in the generation sector. Lastly, the strong correlation between prices and congestion revenues is evidence that the increase in prices under the EMR is mainly due to the growing congestion in the national electricity transmission network rather than due to an inefficient competitive market design in the generation sector.


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