Solving the hydro unit commitment problem via dual decomposition and sequential quadratic programming

By Erlon Cristian Finardi, Edson Luiz da Silva. IEEE Transactions on Power Systems, 2006

157 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/4a902c09b4c868f61f547ca996288f4974054c62

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Ganesh Kumar Venayagamoorthy
2. Ignacio E. Grossmann
3. Ricardo M. Lima
4. Marian Gabriela Marcovecchio
5. Augusto Queiroz Novais
6. Andre Luiz Diniz
7. Tito Homem-de-Mello
8. V. D. Matos

In Ocean Engineering

1. Andre Luiz Diniz
2. Ignacio E. Grossmann
3. Ricardo M. Lima
4. Marian Gabriela Marcovecchio
5. Augusto Queiroz Novais
6. Tito Homem-de-Mello
7. Hongbin Sun
8. Ganesh Kumar Venayagamoorthy

Citations in the corpus

• Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems (2008, background): “Index Terms— Classical optimization, particle swarm optimization (PSO), power systems applications, swarm intelligence.”
• On the Computational Studies of Deterministic Global Optimization of Head Dependent Short-Term Hydro Scheduling (2013, methodology): “LR has been also applied to the solution of the STHS problems [11], [17]–[19].”
• Dynamic Economic Dispatch Using Lagrangian Relaxation With Multiplier Updates Based on a Quasi-Newton Method (2013, background): “Variable splitting is also able to decompose the primal problem into much-easier-to-solve subproblems, taking the advantages of the special problem structures [19], [20].”
• A New Multiperiod Stage Definition for the Multistage Benders Decomposition Approach Applied to Hydrothermal Scheduling (2009, background): “, nonlinear transmission losses [8], an ac model for the electrical network [9], quadratic thermal generation costs [9], nonlinear hydro production function for the hydro plants [10], [11]), and take into account all hydro and thermal unit commitment related aspects (e.”
• Sampling strategies and stopping criteria for stochastic dual dynamic programming: a case study in long-term hydrothermal scheduling (2011, background): “In a long planning horizon (e.g., 5 to 10 years) it is more important to represent the inflows uncertainties than the nonlinearities associated with hydro production and thermal costs (see [ 10 ]).”