The energy system studies include a wide range of issues from short term (eg real-time,
hourly, daily and weekly operating decisions) to long term horizons (eg planning or policy …

While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …

Due to the characteristics of clean and renewable, wind power is significant to economic and
environmental operation of electric power system so that it attracts more and more attention …

Abstract Distributed Generations (DGs) can be an efficient solution to today's power system
environmental and economical challenges. Installing DGs influences power system stability …

In a competitive environment with bid-based markets, power generation companies desire to
develop bidding strategies that maximize their revenue. In this paper we ask: What …

Nested Benders decomposition is a widely used and accepted solution methodology for
multi-stage stochastic linear programming problems. Motivated by large-scale applications …

We address the long-term planning of electric power infrastructure under uncertainty. We
propose a Multistage Stochastic Mixed-integer Programming formulation that optimizes the …

A growing number of companies install wind and solar generators in their energy‐intensive
facilities to attain low‐carbon manufacturing operations. However, there is a lack of …

Sustainability has been defined as the concept of meeting the needs of the present without
compromising the ability of future generations to meet their own needs [1]. Other definitions …

This paper presents an overview about the hydro-thermal scheduling problem. In an
electrical power system power generators have to be scheduled over a time horizon in order …