In this thesis steps are described to determine the locations of new wind mills which minimize energy loss on the Dutch High Voltage power grid. A vindication of the used power grid model is provided; the simulation procedure for stochastic wind power is described; and the required mathematical optimization models are formally derived as well as implementedin the optimization software package Aimms. Results are shown and their relation to real life problems is discussed. The goal of the thesis is to work out a case study of power grid design where stochasticity plays a major role, and where transportation losses should be minimized. By lack of data this has not been carried out for a (perhaps more relevant) more locally oriented and Medium ...
The European Union set the 2020 goals to reduce GHG emissions, increase energy efficiency and d ecar...
The world is fast moving away from fossil fuel, to a more renewable and sustainable energy future.Th...
A survey on present applications of stochastic optimization in the power industry is presented. In p...
When looking at the optimal place to locate a wind turbine, trade-offs have to be made between local...
This paper proposes a stochastic optimization algorithm that aims to minimize the expectation of the...
It is a reality that nowadays the demand for energy is increasing in the world, but at the same time...
International audienceThis paper proposes a new method, based on stochastic optimization, for managi...
This paper proposes an optimization algorithm to find the maximum wind installation in a radial dist...
This paper proposes an optimization algorithm to find the maximum wind installation in a radial dist...
The liberalization process of the energy market structure determined significant changes in the elec...
Purpose. This paper proposes the application procedure of a new metaheuristic technique in a practic...
A stochastic mixed integer linear optimization scheduling model minimizing system operation costs an...
© Springer International Publishing Switzerland 2016. This chapter presents major modelling and simu...
A stochastic programming approach is proposed in this paper for the development of offering strategi...
Due to the fluctuating nature and non-perfect forecast of the wind power, the wind power owners are ...
The European Union set the 2020 goals to reduce GHG emissions, increase energy efficiency and d ecar...
The world is fast moving away from fossil fuel, to a more renewable and sustainable energy future.Th...
A survey on present applications of stochastic optimization in the power industry is presented. In p...
When looking at the optimal place to locate a wind turbine, trade-offs have to be made between local...
This paper proposes a stochastic optimization algorithm that aims to minimize the expectation of the...
It is a reality that nowadays the demand for energy is increasing in the world, but at the same time...
International audienceThis paper proposes a new method, based on stochastic optimization, for managi...
This paper proposes an optimization algorithm to find the maximum wind installation in a radial dist...
This paper proposes an optimization algorithm to find the maximum wind installation in a radial dist...
The liberalization process of the energy market structure determined significant changes in the elec...
Purpose. This paper proposes the application procedure of a new metaheuristic technique in a practic...
A stochastic mixed integer linear optimization scheduling model minimizing system operation costs an...
© Springer International Publishing Switzerland 2016. This chapter presents major modelling and simu...
A stochastic programming approach is proposed in this paper for the development of offering strategi...
Due to the fluctuating nature and non-perfect forecast of the wind power, the wind power owners are ...
The European Union set the 2020 goals to reduce GHG emissions, increase energy efficiency and d ecar...
The world is fast moving away from fossil fuel, to a more renewable and sustainable energy future.Th...
A survey on present applications of stochastic optimization in the power industry is presented. In p...