The thermal unit commitment (UC) problem has historically been formulated as a mixed integer quadratic programming (MIQP), which is difficult to solve efficiently, especially for large-scale systems. tighter characteristic reduces the search space, therefore, natural consequence, significantly computational burden. In literatures, many tightened formulations single with parts of constraints wer...

This paper proposes a stochastic hydro unit commitment (SHUC) model for price-taker hydropower producer in liberalized market. The objective is to maximize the total revenue of producer, including immediate revenue, future (i.e., opportunity cost), and startup shutdown cost. market price uncertainty taken into account through scenario tree. solution challenging task due its non-convex high-dime...

In this paper, Genetic Algorithm is used to solve the profit based unit commitment for deregulated power system in order to achieve optimal generation schedule and maximum profit of GENCOS. Deregulation of power system means unbundling of vertically integrated power system into generation, transmission and distribution companies. This proposed algorithm or approach is tested on IEEE-30 bus syst...

This paper analyses dynamic pricing strategies in the Italian wholesale gasoline market and highlights the importance of endogenous price commitment. Using daily firm level prices over 5 years I show how the commitment of the market leader to keep prices fix for a long time period while costs were rising led to a market outcome with sticky and leadership pricing. To show this I evaluate the con...

The California ISO has taken several measures to incorporate the uncertainty due to Wind and Solar variability into the unit commitment and dispatch algorithms used in market operations. A hybrid approach that recognizes the need to incorporate uncertainties in operation of Day-ahead and real-time markets is presented. The hybrid approach is based on leveraging different forecasting techniques ...