Power system generation expansion planning is a challenging problem due to the large-
scale, long-term, nonlinear and discrete nature of generation unit size. Since the …

The short-term hydrothermal scheduling (SHS) is a complicated nonlinear optimization
problem with a series of hydraulic and electric system constraints. This paper presents a …

This paper proposes an enhanced particle swarm optimization algorithm (EPSO) to solve
optimal daily hydro generation scheduling problem. In the proposed method, the …

跨区域省间富余可再生能源现货交易采用市场化手段有效促进了可再生能源消纳.
在保证出清计算效率的前提下, 如何提升出清模型的适应性和拓展性, 在跨区域省间现货出清中 …

The fundamental requirement of power system hydrothermal scheduling is to determine the
optimal amount of generated powers for the hydro and thermal units of the system in the …

This paper presents an improved quantum-behaved particle swarm optimization (IQPSO) for
short-term combined economic emission hydrothermal scheduling, which is formulated as a …

This paper proposes a chaotic hybrid differential evolution algorithm to solve short-term
hydrothermal system generation scheduling problem. In the proposed method, chaos theory …

Stochastic dynamic programming has been. extensively used in the optimization of long
term hydrothermal scheduling problems due to its ability to cope with the nonlinear and …

In this paper, a nonlinear model for medium-term hydro-thermal scheduling problems with
transmission constraints is presented. A nonlinear formulation of hydro power production …

The daily economic dispatching of hydrothermal system (DHS), which is a large-scale
dynamic nonlinear constrained optimization problem, plays an important role in economic …