Solving the unit commitment problem of hydropower plants via Lagrangian Relaxation and Sequential Quadratic Programming

By Erlon Cristian Finardi, Edson Luiz da Silva, Claudia A. Sagastizábal. 2005

126 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/5e1e636b81dfc9fe46ec3c8221b37226ad60e69e

How researchers see this paper

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

In Civil and Structural Engineering

1. Paula Esteves
2. Amita Mahor
3. Andre Luiz Diniz
4. Saroj Rangnekar
5. Vishnu Prasad
6. Claudia A. Sagastizábal

In Electrical and Electronic Engineering

1. Paula Esteves
2. Amita Mahor
3. Andre Luiz Diniz
4. Saroj Rangnekar
5. Vishnu Prasad
6. Claudia D'Ambrosio
7. Raouia Taktak
8. Claudia A. Sagastizábal

In Ocean Engineering

1. Paula Esteves
2. Amita Mahor
3. Andre Luiz Diniz
4. Saroj Rangnekar
5. Vishnu Prasad
6. Claudia A. Sagastizábal

Citations in the corpus

• An overview on mathematical programming approaches for the deterministic unit commitment problem in hydro valleys (2017, background): “The reader can for instance refer to [42–46,73,98,118,125].”
• A Mathematical Model for the Efficiency Curves of Hydroelectric units (2007, methodology): “Model A is the one presented in [ 5 ] and [7], while model B is proposed as a 4th degree polynomial derived from model A by adding some terms, as shown in equations (5a) and (5b) below: GH”
• Economic dispatch using particle swarm optimization: A review (2009, methodology): “Various conventional methods like Bundle method [1], nonlinear programming [2,3], mixed integer linear programming [4–7], dynamic programming [8], quadratic programming [9], Lagrange relaxation method [10], network flow method [11], direct search method [12] reported in the literature are used to so”