This thesis is about improving the solution time for energy market equilibrium models. Equilibrium models have seen an increased usage over the last years, and the models used for numerical analysis are growing larger and more complex. The computational solvers used to solve equilibrium problems are made for a larger class of mathematical problems and thus we believe it is possible to create more specialized algorithms that solves energy market equilibrium models faster. A deterministic energy market equilibrium model is presented, with supplier, consumers and transmission system operators. The supplier are modelled as Cournot-players who are able to exert market power. To solve the equilibrium problem the equilibrium model is decomposed i...
The work presented in this dissertation focuses on the design and operation of electricity markets w...
This paper presents an interior point algorithm based on a.c. network model for determining the Nash...
Optimal power flow (OPF) and unit commitment (UC) are two of the most important optimization problem...
The energy markets of today are markets with rather few active participants. The participants are, w...
In this thesis we focus resource allocation problems and electronic markets in particular. The main ...
The paper proposes a formulation for a generalized Nash equilibrium model which incorporates the str...
A model of two-settlement electricity markets is introduced, which accounts for flow con-gestion, de...
This paper provides a tool to determine the equilibrium of an electricity market. Within this equili...
A model of two-settlement electricity markets is introduced, which accounts for flow congestion, dem...
In this paper, we describe a family of progressive equilibration algorithms which can be used to sol...
We consider a clearing problem in peer-to-peer energy markets, where prosumers can trade energy amon...
We formulate a two-settlement equilibrium in competitive electricity markets as a subgame-perfect Na...
In this thesis, a stochastic energy market equilibrium model is developed and implemented in GAMS. T...
Energy markets are complex networks of producers, exporters, traders and consumerscharacterized by d...
xi, 136 p. : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EE 2009 ZhangThe unique feature ...
The work presented in this dissertation focuses on the design and operation of electricity markets w...
This paper presents an interior point algorithm based on a.c. network model for determining the Nash...
Optimal power flow (OPF) and unit commitment (UC) are two of the most important optimization problem...
The energy markets of today are markets with rather few active participants. The participants are, w...
In this thesis we focus resource allocation problems and electronic markets in particular. The main ...
The paper proposes a formulation for a generalized Nash equilibrium model which incorporates the str...
A model of two-settlement electricity markets is introduced, which accounts for flow con-gestion, de...
This paper provides a tool to determine the equilibrium of an electricity market. Within this equili...
A model of two-settlement electricity markets is introduced, which accounts for flow congestion, dem...
In this paper, we describe a family of progressive equilibration algorithms which can be used to sol...
We consider a clearing problem in peer-to-peer energy markets, where prosumers can trade energy amon...
We formulate a two-settlement equilibrium in competitive electricity markets as a subgame-perfect Na...
In this thesis, a stochastic energy market equilibrium model is developed and implemented in GAMS. T...
Energy markets are complex networks of producers, exporters, traders and consumerscharacterized by d...
xi, 136 p. : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EE 2009 ZhangThe unique feature ...
The work presented in this dissertation focuses on the design and operation of electricity markets w...
This paper presents an interior point algorithm based on a.c. network model for determining the Nash...
Optimal power flow (OPF) and unit commitment (UC) are two of the most important optimization problem...