© Springer International Publishing Switzerland 2016. This chapter presents major modelling and simulation techniques applied in power systems research. As the smart grids will be a journey through the modern power system environment, it is vital to know how these models and techniques are applied in a traditional power grid environment and how they can make advances to realize smart grid objectives. The chapter describes optimization techniques applied in power systems research and then extended to incorporate stochastic elements. The chapter ends with a brief exploration into the Monte Carlo simulation based research
A survey on present applications of stochastic optimization in the power industry is presented. In p...
The delivery of electric power and organisation of electric power systems is an incredibly complex s...
The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided in...
This chapter presents major modelling and simulation techniques applied in power systems research. A...
This survey provides a comprehensive analysis on recent research related to optimization and simulat...
Traditionally, electric power systems are subject to uncertainties related to equipment availability...
Smart grid systems are characterized by high complexity due to interactions between a traditional pa...
In this thesis steps are described to determine the locations of new wind mills which minimize energ...
Smart grid systems are characterized by high complexity due to interactions between a traditional pa...
This chapter provides a brief overview of modelling and simulation approaches for smart grid systems...
Smart grid systems are characterized by high complexity due to interactions between a traditional pa...
The present paper aims to describe the optimization models recently applied to the design and operat...
Abstract -We are going to present here a number of results on open research issues in the area of Mo...
Today's electricity grid is transitioning to a so-called smart grid. The associated challenges and f...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
A survey on present applications of stochastic optimization in the power industry is presented. In p...
The delivery of electric power and organisation of electric power systems is an incredibly complex s...
The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided in...
This chapter presents major modelling and simulation techniques applied in power systems research. A...
This survey provides a comprehensive analysis on recent research related to optimization and simulat...
Traditionally, electric power systems are subject to uncertainties related to equipment availability...
Smart grid systems are characterized by high complexity due to interactions between a traditional pa...
In this thesis steps are described to determine the locations of new wind mills which minimize energ...
Smart grid systems are characterized by high complexity due to interactions between a traditional pa...
This chapter provides a brief overview of modelling and simulation approaches for smart grid systems...
Smart grid systems are characterized by high complexity due to interactions between a traditional pa...
The present paper aims to describe the optimization models recently applied to the design and operat...
Abstract -We are going to present here a number of results on open research issues in the area of Mo...
Today's electricity grid is transitioning to a so-called smart grid. The associated challenges and f...
Deterministic models based on most likely forecasts can bring simplicity to the electricity power pl...
A survey on present applications of stochastic optimization in the power industry is presented. In p...
The delivery of electric power and organisation of electric power systems is an incredibly complex s...
The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided in...