Performance evaluation of electricity distribution units is an important issue between researchers and regulators. Classic Data Envelopment Analysis models with deterministic data have been used by many authors to measure efficiency of power distribution units in different countries. However, Data Envelopment Analysis with stochastic data are rarely used to measure efficiency of distribution co...

This chapter presents a stochastic unit commitment model for power systems and revisits parallel decomposition algorithms for these types of models. The model is a two-stage stochastic programming problem with first-stage binary variables and second-stage mixed-binary variables. The here-and-now decision is to find day-ahead schedules for slow thermal power generators. The wait-and-see decision...

A power generation system comprising thermal and pumped storage hy dro plants is considered Two kinds of models for the cost optimal generation of electric power under uncertain load are introduced i a dynamic model for the short term operation and ii a power production planning model In both cases the presence of stochastic data in the optimization model leads to multi stage and two stage stoc...

Planning and operation of electric power systems are increasingly influenced by the presence of stochastic infeeds from converters of renewable energy such as wind and photovoltaic systems. The implications reach from complex voltage band management methods on the distribution system level to more and more demanding power flow management methods on the transmission system level. The volatile ch...