Stochastic optimization and modelling of large hydrothermal systems for long-term regulation

Conjoint Mining of Data and Content with Applications in Business, Bio-medicine, Transport Logistics and Electrical Power Systems

“…These will be used to produce forecasts for several of these factors and develop schedules for others such as hydro scheduling [57] and scheduled maintenance which are stored in structured DBs. This has led to approaches using the structured data to assess the risk especially the loss of load probability and expected unserved energy in the case of no complex contractual terms [58].…”

Long‐term optimization of hydro‐thermal power systems by generalized Conjugate‐Gradient Methods

“…The problem is to find the sequence of water releases R,(t, c ) that minimizes the cost (1 1) subject to the constraints (2), (6), (7), and (8). The reservoir storages X u are regarded as state variables, and the water releases R, serve as control variables.…”

A clonal real-coded quantum-inspired evolutionary algorithm with Cauchy mutation for short-term hydrothermal generation scheduling

“…At present, lots of artificial intelligence algorithms have been presented for SHGS problem, such as genetic algorithm (GA) [12,13], simulated annealing (SA) [14,15], particle swarm operation (PSO) [16][17][18], differential evolution (DE) [19][20][21] and other artificial intelligence methods [22][23][24]. Different from mathematical programming (MP) techniques, these above algorithms do not depend on the mathematic model of SHGS problem considering various complex constraints.…”